Relevant bibliographies by topics / Muscles Magnetic resonance imaging

Academic literature on the topic 'Muscles Magnetic resonance imaging'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Muscles Magnetic resonance imaging"

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McIntosh, Laura M., Ross E. Baker, and Judy E. Anderson. "Magnetic resonance imaging of regenerating and dystrophic mouse muscle." Biochemistry and Cell Biology 76, no. 2-3 (May 1, 1998): 532–41. http://dx.doi.org/10.1139/o98-033.

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Magnetic resonance imaging allows serial visualization of living muscle. Clinically magnetic resonance imaging would be the first step in selecting a region of interest for assessment of muscle disease state and treatment effects by magnetic resonance spectroscopy. In this study, magnetic resonance imaging was used to follow dystrophy and regeneration in the mdx mouse, a genetic homologue to human Duchenne muscular dystrophy. It was hypothesized that images would distinguish normal control from mdx muscle and that regenerating areas (spontaneous and after an imposed injury) would be evident and evolve over time. T2-weighted images of hind-limb muscles were obtained on anaesthetized mice in a horizontal bore 7.1-T experimental magnet. Magnetic resonance images of mdx muscle appeared heterogeneous in comparison to homogeneous images of control muscle. Foci of high intensity in mdx images corresponded to dystrophic lesions observed in the histologic sections of the same muscles. In addition, it was possible to follow chronologically the extent of injury and repair after an imposed crush injury to mdx muscle. These results should make it possible to obtain meaningful magnetic resonance spectra from particular regions of interest in muscle as viewed in magnetic resonance images (i.e., regenerating, degenerating, normal muscle) acquired during neuromuscular diseases and treatment regimens.Key words: MRI, MRS, spectroscopy, muscular dystrophy, muscle regeneration, mdx mouse.
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Farrugia, M. E., G. M. Bydder, J. M. Francis, and M. D. Robson. "Magnetic resonance imaging of facial muscles." Clinical Radiology 62, no. 11 (November 2007): 1078–86. http://dx.doi.org/10.1016/j.crad.2007.05.003.

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Inoue, Y., T. Higashide, K. Yoshikawa, and T. Inoue. "Sagittal Magnetic Resonance Imaging of Dysthyroid Ophthalmopathy." European Journal of Ophthalmology 3, no. 1 (January 1993): 31–36. http://dx.doi.org/10.1177/112067219300300106.

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Sagittal magnetic resonance imaging (MRI) scans of the eye and orbit were made of 30 eyes in 15 cases of dysthyroid ophthalmopathy (DO). On the basis of these scans, we sought to elucidate relationships between the morphological condition of the levator palpebrae muscle, fatty tissue in the upper eyelid and the superior, inferior recti muscles and the occurrence of such symptoms as lid retraction, lid swelling and vertical disturbance of eye movement. The levator palpebrae muscle was enlarged in all 15 DO eyes (100%) with upper eyelid retraction. In 16 (88.9%) of 18 eyes with apparent lid swelling, enlargement of the preaponeurotic fat or submuscular fat pad was clearly evident. In the control eyes, no such enlargement was seen in either the levator palpebrae muscle or orbital fatty tissue. The clear space between the superior recti and the levator palpebrae muscles that was seen in control eyes was absent in all five eyes that presented a disturbance in infraduction. In 8 (80%) of 10 eyes with a disturbance in supraduction, the inferior rectus muscle was enlarged and muscle extension was impaired. Sagittal MRI seemed to be a useful means of obtaining a better clinical understanding of a variety of eye symptoms associated with DO.
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YOSHIOKA, HIROSHI, and YUJI ITAI. "Magnetic Resonance Imaging of Isolated Skeletal Muscles." Investigative Radiology 31, no. 6 (June 1996): 359–63. http://dx.doi.org/10.1097/00004424-199606000-00008.

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Demer, Joseph L., Reika Kono, and Weldon Wright. "Magnetic Resonance Imaging of Human Extraocular Muscles in Convergence." Journal of Neurophysiology 89, no. 4 (April 1, 2003): 2072–85. http://dx.doi.org/10.1152/jn.00636.2002.

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Extraocular muscle (EOM) paths during asymmetrical convergence were evaluated by tri-planar, contrast-enhanced magnetic resonance imaging of the orbits of eight young adults during binocular fixation of a target aligned to one eye at 800 and 15 cm distance. Cross sections and paths of EOMs were determined from area centroids. In convergence, the aligned eye rotated and translated negligibly, while its inferior oblique (IO) muscle exhibited significant contractile thickening. There were no significant contractile changes in the cross sections of aligned eye rectus or superior oblique (SO) muscles in convergence. The converging eye rotated nasally 22.4° but translated negligibly. The converging eye medial (MR) and lateral rectus (LR) muscles exhibited large contractile cross-section changes, and the IO showed significant contractile thickening, while the vertical rectus muscles and the SO did not. Anterior paths of three aligned eye rectus EOMs could be determined in convergence and shifted consistent with a 1.9° extorsion of the rectus pulley array. Such extorsional reconfiguration of the rectus pulleys would move the pulleys in coordination with globe extorsion and avoid imparting torsional action to these EOMs. Extorsional rectus pulley shift in convergence is inconsistent with the reconfiguration predicted to explain the temporal tilting of Listing's planes, instead suggesting that this temporal tilting is due to variations in oblique EOM innervation. Absence of globe translation in convergence argues against overall EOM co-contraction. The reconfiguration of EOM geometry in convergence has important implications for single-unit studies of neural control.
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Saint-Victor, S., E. Barbarite, C. Sidani, R. Bhatia, and D. E. Rosow. "Volumetric analysis of vocal fold atrophy via magnetic resonance imaging." Journal of Laryngology & Otology 132, no. 9 (September 2018): 822–26. http://dx.doi.org/10.1017/s0022215118001573.

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AbstractObjectiveTo quantitatively test the hypothesis that older patients have increased thyroarytenoid muscle atrophy by comparing thyroarytenoid muscle volumes across different age groups.MethodsA retrospective chart review was conducted. The study included 111 patients with no history of laryngeal pathology. Two investigators reviewed magnetic resonance imaging studies of these patients and manually traced the thyroarytenoid muscles on multiple slices bilaterally. Thyroarytenoid muscle volumes were then computed using imaging analysis software. Patients were stratified into three age groups (18–50 years, 51–64 years, and 65 years or older) for comparison.ResultsIntra- and inter-rater reliabilities were excellent for all measurements (intraclass correlation co-efficient > 0.90). There was no statistically significant difference in the mean volumes of left and right thyroarytenoid muscles in all age and gender groups.ConclusionGiven the lack of statistically significant difference in thyroarytenoid muscle volume between age groups on magnetic resonance imaging, the prevailing assumption that age-related thyroarytenoid muscle atrophy contributes to presbyphonia should be re-examined.
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Xing, Fangxu, Maureen Stone, Tessa Goldsmith, Jerry L. Prince, Georges El Fakhri, and Jonghye Woo. "Atlas-Based Tongue Muscle Correlation Analysis From Tagged and High-Resolution Magnetic Resonance Imaging." Journal of Speech, Language, and Hearing Research 62, no. 7 (July 15, 2019): 2258–69. http://dx.doi.org/10.1044/2019_jslhr-s-18-0495.

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Purpose Intrinsic and extrinsic tongue muscles in healthy and diseased populations vary both in their intra- and intersubject behaviors during speech. Identifying coordination patterns among various tongue muscles can provide insights into speech motor control and help in developing new therapeutic and rehabilitative strategies. Method We present a method to analyze multisubject tongue muscle correlation using motion patterns in speech sound production. Motion of muscles is captured using tagged magnetic resonance imaging and computed using a phase-based deformation extraction algorithm. After being assembled in a common atlas space, motions from multiple subjects are extracted at each individual muscle location based on a manually labeled mask using high-resolution magnetic resonance imaging and a vocal tract atlas. Motion correlation between each muscle pair is computed within each labeled region. The analysis is performed on a population of 16 control subjects and 3 post–partial glossectomy patients. Results The floor-of-mouth (FOM) muscles show reduced correlation comparing to the internal tongue muscles. Patients present a higher amount of overall correlation between all muscles and exercise en bloc movements. Conclusions Correlation matrices in the atlas space show the coordination of tongue muscles in speech sound production. The FOM muscles are weakly correlated with the internal tongue muscles. Patients tend to use FOM muscles more than controls to compensate for their postsurgery function loss.
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Pirimoglu, Berhan, Hayri Ogul, Abdullah Kisaoglu, Leyla Karaca, Aylin Okur, and Mecit Kantarci. "Multiple Muscle Metastases of the Renal Cell Carcinoma After Radical Nephrectomy." International Surgery 100, no. 4 (April 1, 2015): 761–64. http://dx.doi.org/10.9738/intsurg-d-13-00197.1.

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Skeletal muscle is a very rare location for the metastasis of renal cell carcinoma. We report a 48-year-old man with multiple metastases in skeletal muscles 4 years after right radical nephrectomy was carried out for grade III renal cell carcinoma. The tumors located in the right psoas, paravertebral, and gluteus medius muscles. We performed magnetic resonance imaging for detection metastatic lesions in our patient. In this case report, we discuss the characteristics of these metastatic lesions on magnetic resonance imaging.
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Albano, Domenico, Salvatore Gitto, Jacopo Vitale, Susan Bernareggi, Sveva Lamorte, Alberto Aliprandi, Luca Maria Sconfienza, and Carmelo Messina. "Knee Muscles Composition Using Electrical Impedance Myography and Magnetic Resonance Imaging." Diagnostics 12, no. 9 (September 13, 2022): 2217. http://dx.doi.org/10.3390/diagnostics12092217.

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We evaluated the correlation of electrical impedance myography (EIM) measurements of knee muscles composition using Skulpt ChiselTM with MRI data retrieved from muscles segmentation. A total of 140 patients (71 females, 52 ± 21 years) underwent knee MRI, EIM with Skulpt®, and clinical evaluation (SARC-F questionnaire). MRIs were reviewed to assess the cross-sectional area (CSA) and skeletal muscle index (SMI = CSA/height2) of vastus medialis, vastus lateralis, biceps, semimembranosus, and sartorius. We tested the correlations of EIM-derived parameters [body fat-percentage (BF%) and muscle quality] with total CSA, CSA of each muscle, SMI, and SARC-F scores (0–10) using Pearson correlation coefficient. We found medium negative correlation of BF% with SMI (r = −0.430, p < 0.001) and total CSA (r = −0.445, p < 0.001), particularly with biceps (r = −0.479, p < 0.001), sartorius (r = −0.440, p < 0.001), and semimembranosus (r = −0.357, p < 0.001). EIM-derived muscle quality showed small-to-medium positive correlation with MRI measurements, ranging from r = 0.234 of biceps (p = 0.006) to r = 0.302 of total CSA (p < 0.001), except for vastus lateralis (r = 0.014, p = 0.873). SARC-F scores showed small correlations with EIM and MRI data, ranging from r = −0.132 (p = 0.121) with EIM muscle quality to r = −0.288 (p = 0.001) with CSA of vastus medialis. Hence, we observed small-to-medium correlations of muscle parameters derived from Skulpt ChiselTM with SARC-F scores and MRI parameters. We recommend using Skulpt ChiselTM with caution for assessing knee skeletal muscles composition.
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H.V. Palahuta and O.Ye. Fartushna. "The role of magnetic resonance imaging of muscles in the differential diagnosis of certain forms and subtypes of limb-girdle muscular dystrophy: case analysis." INTERNATIONAL NEUROLOGICAL JOURNAL 16, no. 8 (March 10, 2021): 43–47. http://dx.doi.org/10.22141/2224-0713.16.8.2020.221960.

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Limb-girdle muscular dystrophy is a genetically heterogeneous group of disorders that are characterized by slowly progressing muscle weakness and presents a diagnostic problem in the neurological practice. The combination of clinical, radiological, and laboratory methods of examination plays an important role in referring the patient to genetic counseling and making the correct diagnosis. Magnetic resonance imaging of muscles is increasingly used to give clues in the primary muscle damage diagnosis, based on specific patterns of muscle lesion. The article provides two clinical cases as an example of an integrated approach to the diagnosis of progressive muscular dystrophy using genetic analysis and magnetic resonance imaging of muscles
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Dissertations / Theses on the topic "Muscles Magnetic resonance imaging"

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Manners, David Neil. "Magnetic resonance imaging and magnetic resonance spectroscopy of skeletal muscle." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269250.

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Shaubari, Ezak Fadzrin Ahmad. "Automatic segmentation of the human thigh muscles in magnetic resonance imaging." Thesis, Manchester Metropolitan University, 2018. http://e-space.mmu.ac.uk/621007/.

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Advances in magnetic resonance imaging (MRI) and analysis techniques have improved diagnosis and patient treatment pathways. Typically, image analysis requires substantial technical and medical expertise and MR images can su↵er from artefacts, echo and intensity inhomogeneity due to gradient pulse eddy currents and inherent e↵ects of pulse radiation on MRI radio frequency (RF) coils that complicates the analysis. Processing and analysing serial sections of MRI scans to measure tissue volume is an additional challenge as the shapes and the borders between neighbouring tissues change significantly by anatomical location. Medical imaging solutions are needed to avoid laborious manual segmentation of specified regions of interest (ROI) and operator errors. The work set out in this thesis has addressed this challenge with a specific focus on skeletal muscle segmentation of the thigh. The aim was to develop an MRI segmentation framework for the quadriceps muscles, femur and bone marrow. Four contributions of this research include: (1) the development of a semi-automatic segmentation framework for a single transverse-plane image; (2) automatic segmentation of a single transverseplane image; (3) the automatic segmentation of multiple contiguous transverse-plane images from a full MRI thigh scan; and (4) the use of deep learning for MRI thigh quadriceps segmentation. Novel image processing, statistical analysis and machine learning algorithms were developed for all solutions and they were compared against current gold-standard manual segmentation. Frameworks (1) and (3) require minimal input from the user to delineate the muscle border. Overall, the frameworks in (1), (2) and (3) o↵er very good output performance, with respective framework's mean segmentation accuracy by JSI and processing time of: (1) 0.95 and 17 sec; (2) 0.85 and 22 sec; and (3) 0.93 and 3 sec. For the framework in (4), the ImageNet trained model was customized by replacing the fully-connected layers in its architecture to convolutional layers (hence the name of Fully Convolutional Network (FCN)) and the pre-trained model was transferred for the ROI segmentation task. With the implementation of post-processing for image filtering and morphology to the segmented ROI, we have successfully accomplished a new benchmark for thigh MRI analysis. The mean accuracy and processing time with this framework are 0.9502 (by JSI ) and 0.117 sec per image, respectively.
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Lam, Ernest W. N. "Human masseter muscle studies by magnetic resonance." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30005.

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The human masseter muscle is a structurally complex jaw elevator with the capability of generating high, multidirectional forces. The invasiveness of current anatomical and physiological methods has, however, limited both the number and scope of studies of human masseter muscle structure and function. Therefore the aim of this work was to apply in vivo magnetic resonance (MR) techniques to elucidate the three-dimensional internal architecture of the human masseter muscle and its metabolic response to exercise in order to gain a better understanding of the jaw muscles in health and disease. In the first of these experiments, five adult subjects were selected and examined using cephalometric radiography, magnetic resonance imaging (MRI) and three-dimensional rotational and reconstructive computer graphics to describe the organization of tendon planes within the masseter muscle. Planar quadrilaterals representing putative tendon planes were fitted to the surfaces of the three-dimensional muscle reconstructions, and these were related to the mid-sagittal plane in the coronal and axial views. To confirm whether putative planes disclosed by MRI represented true anatomic entities, a fresh human cadaver head was imaged by MRI and then cryosectioned at millimetre intervals. Planar sections through the reconstructed muscle generated from the cadaver cryosections were correlated with the actual MR images in the same planes. Tendon plane angulation appeared to be related to ramal length and lower face height measured cephalometrically. In the axial view, the tendon planes appeared roughly to follow the angulations of the zygomatic arch and the lateral face of the mandibular ramus. Our results suggest that the angulation of tendon planes, and possibly pennation angles are different depending on the viewing angle, and infer that muscle fibres inserting on either side of a central tendon may need to develop different tensile forces if translation is to occur directly along the tendon axis. In the second, 31P magnetic resonance spectroscopy (MRS) was utilized to examine the masseter muscles of six adult males at rest and performing stereotyped isometric clenching exercises. 31P MR spectra were acquired from three locations within the muscle using a 2cm by 3cm, single-turn, copper receiver coil. The spectra were quantified on the basis of relative peak area and position. The organic phosphate (Pi) to creatine phosphate (PCr) ratio (Pi/PCr), which has been shown to be proportional to free ADP concentration and hence, the metabolic activity, as well as the normalized Pi concentration ([Pi]) and pH, were calculated for each site and exercise. The mean resting Pi/PCr ratio and [Pi] were greater for the deep part of the muscle than for the superficial and intermediate parts. These differences were significant to p<0.01. The mean pH however, was similar in all parts of the muscle at rest. During exercise, a significant increase in mean Pi/PCr was found in the superficial and intermediate parts of the muscle. Both these differences were significant to p<0.05. An accompanying decrease in mean pH was observed in all parts of the muscle during exercise. In the superficial part of the muscle, this decrease was significant to the p<0.05 level, and in the deep part, the decrease was significant to the p<0.001 level. No significant differences were found for these parameters between left and right molar clenching. These results suggest that metabolic activity may be monitored in the masseter muscle using 31P MR spectroscopy and that task-dependent and regional variations in metabolic activity may be demonstrated both at rest and during exercise. They are promising enough to encourage future studies of muscle metabolism in subjects with jaw muscle disorders. These experiments demonstrate the novel application of magnetic resonance techniques for studying craniomandibular morphology and function non-invasively. Collectively, they reveal the anatomical and functional heterogeneity which exist in the human masseter muscle.
Medicine, Faculty of
Biochemistry and Molecular Biology, Department of
Graduate
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Kaltwasser, Sebastian. "Volumetric Manganese Enhanced Magnetic Resonance Imaging in mice (mus musculus)." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-141742.

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Yang, X. (Xiaojiang). "Magnetic resonance imaging of the lateral pterygoid muscle in temporomandibular disorders." Doctoral thesis, University of Oulu, 2002. http://urn.fi/urn:isbn:9514266439.

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Abstract The fact that the lateral pterygoid muscle (LPM) and related symptoms play an important role in temporomandibular disorders (TMD) is widely recognized. In the study reported here, the LPM was investigated by magnetic resonance imaging (MRI) of patients with TMD. The visibility of the LPM in MRI with different projections was analyzed and a new imaging projection, condyle-the lateral pterygoid muscle projection (CLPM), for the LPM in MRI was introduced. Normal and abnormal findings of the LPM was compared with clinical symptoms of TMD. Compared with sagittal imaging of temporomandibular joint (TMJ), CLPM images and most of the oblique sagittal imaging were able to show the LPM clearly. Hypertrophy, atrophy and contracture of the LPM were found in TMJs either with disc in normal position or with disc displacements. Pathological changes of the superior belly and hypertrophy of the inferior belly combined with various pathological changes of the superior belly were the most frequently observed abnormal imaging findings of the LPM in TMD. The pathological changes of the LPM were associated with the main clinical symptoms of TMD. In patients with symptomatic condyle hypermobility, the pathological changes of the LPM and related symptoms were associated with the clinical symptoms of TMJs with disc in normal position. The imaging abnormalities of the LPM were common in TMJs with disc displacements and seemed to be fewer in condyle hypomobility cases in TMJs with anterior disc displacement with non-reduction (ADDnr). However, normal imaging of the LPM was also found in TMJs with severe osteoarthritic changes and disc displacement. The recognition of muscle alterations may lead to a more specific diagnosis and improve the understanding of the clinical symptoms and disease pathophysiology of TMD.
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Jack, James. "Computer aided analysis of inflammatory muscle disease using magnetic resonance imaging." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/19579.

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Inflammatory muscle disease (myositis) is characterised by inflammation and a gradual increase in muscle weakness. Diagnosis typically requires a range of clinical tests, including magnetic resonance imaging of the thigh muscles to assess the disease severity. In the past, this has been measured by manually counting the number of muscles affected. In this work, a computer-aided analysis of inflammatory muscle disease is presented to help doctors diagnose and monitor the disease. Methods to quantify the level of oedema and fat infiltration from magnetic resonance scans are proposed and the disease quantities determined are shown to have positive correlation against expert medical opinion. The methods have been designed and tested on a database of clinically acquired T1 and STIR sequences, and are proven to be robust despite suboptimal image quality. General background information is first introduced, giving an overview of the medical, technical, and theoretical topics necessary to understand the problem domain. Next, a detailed introduction to the physics of magnetic resonance imaging is given. A review of important literature from similar and related domains is presented, with valuable insights that are utilised at a later stage. Scans are carefully pre-processed to bring all slices in to a common frame of reference and the methods to quantify the level of oedema and fat infiltration are defined and shown to have good positive correlation with expert medical opinion. A number of validation tests are performed with re-scanned subjects to indicate the level of repeatability. The disease quantities, together with statistical features from the T1-STIR joint histogram, are used for automatic classification of the disease severity. Automatic classification is shown to be successful on out of sample data for both the oedema and fat infiltration problems.
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Salvati, Roberto. "Development of Magnetic Resonance Imaging (MRI) methods for in vivo quantification of lipids in preclinical models." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1B026/document.

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L'obésité est associée à une augmentation de la morbidité et de la mortalité liée à de nombreuses maladies, y compris le diabète de type 2, l'hypertension et des pathologies hépatiques menant à une surcharge lipidique d’origine non alcoolique. Récemment, l’imagerie par résonance magnétique (IRM) est devenue la méthode de choix pour la quantification non invasive de la graisse. Dans cette thèse, les méthodes d'IRM ont été étudiées sur un scanner préclinique de 4.7T in vitro (fantômes MR) et in vivo (souris). Deux algorithmes de quantifications de la graisse -la méthode de Dixon et l’algorithme IDEAL- ont été considérés. Les performances de l'algorithme IDEAL ont été analysées en fonction de propriétés des tissus (T2*, fraction de graisse et modèle spectral de la graisse), de paramètres d'acquisition IRM (temps d’écho, nombre d'échos) et de paramètres expérimentaux (SNR et carte de champ). Sur les fantômes, l'approche standard single-T2* IDEAL a montré certaines limites qui pourraient être surmontées en optimisant le nombre d'échos. Une nouvelle méthode, pour déterminer les valeurs de vérité terrain pour T2* de l'eau et pour T2* de la graisse, a été proposée. Pour les mesures in vivo, différentes analyses ont été effectuées en utilisant l'algorithme IDEAL sur le foie et les muscles. L'analyse statistique sur les mesures de ROI a montré que le choix optimal du nombre d'échos est égal à trois pour la quantification de la graisse et six ou plus pour la quantification du T2*. Les valeurs de la fraction de graisse, calculées avec l'algorithme IDEAL, étaient statistiquement comparables aux valeurs obtenues avec la méthode de Dixon. Enfin, un procédé pour générer des signaux de référence mimant les systèmes eau-graisse (Fat Virtual Phantom MRI), sans l'aide d'objets physiques, a été proposé. Ces fantômes virtuels, qui présentent des caractéristiques de bruit réalistes, représentent une alternative intéressante aux fantômes physiques pour fournir un signal de référence dans les mesures IRM
Obesity is associated with increased morbidity and mortality linked to many diseases, including type 2 diabetes, hypertension and disease nonalcoholic fatty liver. Recently, 1H magnetic resonance imaging (MRI) has emerged as the method of choice for non-invasive fat quantification. In this thesis, MRI methodologies were investigated for in vitro (MR phantoms) and in vivo (mice) measurements on a 4.7T preclinical scanner. Two algorithms of fat quantifications – the Dixon’s method and IDEAL algorithm – were considered. The performances of the IDEAL algorithm were analyzed as a function of tissue properties (T2*, fat fraction and fat spectral model), MRI acquisition parameters (echo times, number of echoes) and experimental parameters (SNR and field map). In phantoms, the standard approach of single-T2* IDEAL showed some limitations that could be overcome by optimizing the number of echoes. A novel method to determine the ground truth values of T2* of water and T2* of fat was here proposed. For in vivo measurements, different analyses were performed using the IDEAL algorithm in liver and muscle. Statistical analysis on ROI measurements showed that the optimal choice of the number of echoes was equal to three for fat quantification and six or more for T2* quantification. The fat fraction values, calculated with IDEAL algorithm, were statistically similar to the values obtained with Dixon’s method. Finally, a method for generating reference signals mimicking fat-water systems (Fat Virtual Phantom MRI), without using physical objects, was proposed. These virtual phantoms, which display realistic noise characteristics, represent an attractive alternative to physical phantoms for providing a reference signal in MRI measurements
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Fan, Ang-Xiao. "Geometric and numerical modeling of facial mimics derived from Magnetic Resonance Imaging (MRI) using Finite Element Method (FEM)." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2307.

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Le visage humain joue un rôle important dans la communication interpersonnelle. La dysfonction du visage ou le défigurement due aux traumatismes ou pathologies peuvent entraver les activités sociales normales. Le traitement chirurgical est souvent nécessaire. De nos jours, le résultat du traitement chirurgical et l’état d’établissement ne sont estimé qu’avec les méthodes qualitatives telles que l’observation visuelle et la palpation. Dans l’attente de fournir des critères quantitatifs, cette thèse a pour l’objectif de modéliser la mimique faciale utilisant MEF (Méthode d’Éléments Finis) sur la base des données d’IRM (Imagerie par Résonance Magnétique). Un modèle sujet-spécifique du visage a été construit sur la base de la segmentation des données IRM ; il contient des parties osseuses, muscles de la mimique (p.ex. le muscle grand zygomatique), les tissues mous sous-cutanées et la peau. L’identification des tissus mous biologiques a été réalisée via des essais de traction bi-axiale et la modélisation numérique. Ensuite, le modèle géométrique a été maillé pour effectuer des calculs EF simulant trois mouvements mimiques du visage (sourire, prononciation du son « Pou » et « O »). Les muscles ont été modélisés comme un matériau quasi-incompressible, transversalement isotrope et hyperélastique, avec la capacité d’activation. Des informations pertinentes (p.ex. l’amplitude de contraction du muscle) utilisées dans la simulation ont été extraites de la mesure des données d’IRM. Il est à noter que les mêmes données expérimentales d’IRM telles qu’ils ont utilisées dans la modélisation ont été prises comme une référence de validation pour les résultats de simulation. Cette étude peut être appliquée cliniquement dans l’évaluation du traitement faciale et le rétablissement postopérative
Human face plays an important role interpersonal communication. Facial dysfunction or disfigurement due to trauma or pathologies may impede normal social activities. Surgical treatment is often necessary. Nowadays, treatment outcome and rehabilitation condition are estimated only by qualitative methods, such as visual observation and palpation. In expectation of providing quantitative criteria, this thesis proposes to model facial mimics using FEM (Finite Element Method) on the basis of MRI (Magnetic Resonance Imaging) data. A subject-specific face model was reconstructed based on segmentation of MRI data; it contains bony parts, mimic muscles (e.g. zygomaticus major muscle), subcutaneous soft tissues and skin. Identification of biological soft tissues was conducted through bi-axial tension tests and numerical modeling. Then the geometric model was meshed to conduct FE calculations simulating three facial mimic movements (smile, pronunciation of sound “Pou” and “O”). Muscle was modeled as quasi-incompressible, transversely-isotropic, hyperelastic material, with activation ability. Relevant information (e.g. contraction amplitude of muscle) used in simulation was extracted from measurement of MRI data. It is to be noted that the same experimental MRI data as used in modeling was taken as validation reference for simulation results. This study can be applied clinically in evaluation of facial treatment andpostoperative recovery
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Kaltwasser, Sebastian F. [Verfasser], and Carsten [Akademischer Betreuer] Wotjak. "Volumetric Manganese Enhanced Magnetic Resonance Imaging in mice (mus musculus) / Sebastian Kaltwasser. Betreuer: Carsten Wotjak." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2012. http://d-nb.info/1021307750/34.

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Tucker, David C. "Metabolic factors influencing fatigue during a 90 second maximum muscle contraction." Birmingham, Ala. : University of Alabama at Birmingham, 2009. https://www.mhsl.uab.edu/dt/2009m/tucker.pdf.

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Books on the topic "Muscles Magnetic resonance imaging"

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Leon, Partain C., ed. Magnetic resonance imaging. 2nd ed. Philadelphia, Pa: Saunders, 1988.

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Prasad, Pottumarthi V., ed. Magnetic Resonance Imaging. Totowa, NJ: Humana Press, 2006. http://dx.doi.org/10.1385/1597450103.

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Zuurbier, Ria, Johan Nahuis, Sija Geers-van Gemeren, José Dol-Jansen, and Tom Dam, eds. Magnetic Resonance Imaging. Houten: Bohn Stafleu van Loghum, 2017. http://dx.doi.org/10.1007/978-90-368-1934-3.

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Sigal, Robert, D. Doyon, Ph Halimi, and H. Atlan. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73037-5.

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Brown, Robert W., Yu-Chung N. Cheng, E. Mark Haacke, Michael R. Thompson, and Ramesh Venkatesan, eds. Magnetic Resonance Imaging. Chichester, UK: John Wiley & Sons Ltd, 2014. http://dx.doi.org/10.1002/9781118633953.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03800-0.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05252-5.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03258-9.

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Feigenbaum, Ernest. Magnetic resonance imaging (MRI). Rockville, MD: U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Services Research and Health Care Technology Assessment, 1985.

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Smith, Robert C. Understanding magnetic resonance imaging. Boca Raton, Fla: CRC Press, 1998.

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Book chapters on the topic "Muscles Magnetic resonance imaging"

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Monetti, Giuseppe, Gianluca Rampino, and Giuseppe Rusignuolo. "The Dynamic Magnetic Resonance Imaging." In Muscle and Tendon Injuries, 87–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54184-5_8.

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Boutin, Robert D., and Mini N. Pathria. "Magnetic Resonance Imaging of Muscle." In Musculoskeletal Diseases 2013–2016, 161–70. Milano: Springer Milan, 2013. http://dx.doi.org/10.1007/978-88-470-5292-5_22.

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Pathria, M. N., and R. D. Boutin. "Magnetic Resonance Imaging of Muscle." In Musculoskeletal Diseases, 48–53. Milano: Springer Milan, 2005. http://dx.doi.org/10.1007/88-470-0339-3_8.

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Pathria, Mini N., and Robert D. Boutin. "Magnetic Resonance Imaging of Muscle." In Musculoskeletal Diseases 2009–2012, 57–62. Milano: Springer Milan, 2009. http://dx.doi.org/10.1007/978-88-470-1378-0_10.

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Sinha, Usha, and Shantanu Sinha. "Diffusion-Weighted and Diffusion Tensor Imaging: Applications in Skeletal Muscles." In Magnetic Resonance Imaging of the Skeletal Musculature, 69–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/174_2013_932.

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Crema, Michel Daoud. "Advanced Magnetic Resonance Imaging of Muscles in Sports Medicine." In Sports and Traumatology, 465–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43344-8_29.

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Tanttu, Jukka, and Raimo E. Sepponen. "Basic Principles of Magnetic Resonance Imaging." In Muscle Imaging in Health and Disease, 21–34. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-2314-6_3.

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Niitsu, Mamoru. "Fracture, Subluxation, and Muscle Injury." In Magnetic Resonance Imaging of the Knee, 123–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-17893-1_8.

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Dimmick, Simon, Christoph Rehnitz, Marc-André Weber, and James M. Linklater. "MRI of Muscle Injuries." In Magnetic Resonance Imaging of the Skeletal Musculature, 187–219. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/174_2013_878.

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Jurkat-Rott, Karin, Marc-André Weber, and Frank Lehmann-Horn. "MRI in Muscle Channelopathies." In Magnetic Resonance Imaging of the Skeletal Musculature, 271–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/174_2013_922.

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Conference papers on the topic "Muscles Magnetic resonance imaging"

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Qi Wei, Shinjiro Sueda, Joel M. Miller, Joseph L. Demer, and Dinesh K. Pai. "Template-based reconstruction of human extraocular muscles from magnetic resonance images." In 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI). IEEE, 2009. http://dx.doi.org/10.1109/isbi.2009.5192994.

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Ramos, Jonathan S., Mirela T. Cazzolato, Bruno S. Faical, Oscar A. C. Linares, Marcello H. Nogueira-Barbosa, Caetano Traina, and Agma J. M. Traina. "Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg." In 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE, 2019. http://dx.doi.org/10.1109/sibgrapi.2019.00019.

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Novotny, John E., Brian A. Knarr, and Hehe Zhou. "Maximum Contractile Strain in the Biceps Brachii Is Bounded by Sarcomere Geometry." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192589.

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Skeletal muscles’ primary function is the application of force to its bony origins and insertions. There are various models of muscle function that generally assume a uniform behavior from origin to insertion during force generation even though the structure and activation is complex. Engineering strains within skeletal muscles, though, have been shown to be non-uniform [1]. We have developed methods to quantify Lagrangian finite strains using cine phase-contrast magnetic resonance imaging (CPCMRI) and post-processing algorithms [2] and have described them during cyclic motion in the supraspinatus and biceps brachii. Principal and maximum in-plane shear strains can be identified at the scale of millimeters throughout the contracting and elongating muscle.
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Yaman, Alper, Guus C. Baan, Peter A. Huijing, Cengizhan Ozturk, and Can A. Yucesoy. "Magnetic resonance imaging shows that muscle myofascial force transmission causes substantial sarcomere length heterogeneity in human muscles, in vivo." In 2010 15th National Biomedical Engineering Meeting (BIYOMUT 2010). IEEE, 2010. http://dx.doi.org/10.1109/biyomut.2010.5479747.

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Park, Jane H., Daniel Golwyn, Nancy J. Olsen, John H. Newman, Alvin C. Powers, Beverly C. Davis, Kara Rader, and Britton Chance. "P-31 magnetic resonance spectroscopy and near-infrared spectroscopy provide unique quantitative data for evaluation of exercising muscles." In SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, edited by Satish S. Udpa and Hsiu C. Han. SPIE, 1994. http://dx.doi.org/10.1117/12.186722.

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Miron, Geneviève, Alexandre Girard, Jean-Sébastien Plante, and Martin Lepage. "Design and Manufacturing of Embedded Pneumatic Actuators for an MRI-Compatible Prostate Cancer Binary Manipulator." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71380.

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Magnetic Resonance Imaging (MRI) compatible robots can assist physicians in precisely inserting biopsy needles or therapeutic instruments directly into millimeter-size tumors using MR imaging feedback. MRI systems although present a challenging environment, including high magnetic fields and limited space, making the development of MRI-compatible robots complex. This paper presents an MRI-compatible pneumatic actuation technology consisting of molded polymer structures with embedded air-muscle, operated in a binary fashion. While having good positioning accuracy, the technology presents advantages of compactness, perfect MRI-compatibility, simplicity, and low cost. Here we specifically report the design and validation of a transperineal prostate cancer manipulator prototype having 20 embedded air-muscles distributed in four star-like polymer structures. Structures are made of silicone elastomer, using lost-core injection molding. The molded compliant joints of the muscles eliminate sliding surfaces, for low motion hysteresis and good repeatability. A simple and effective two-level design method for polymer air-muscles is proposed, using a manipulator model and three muscle models: geometrical, finite elements and uniaxial analytic. Binary control of each air-muscle assures stability and accuracy with minimized costs and complexity. The manipulator is tested MRI-compatible with no effects on the signal-to-noise ratio and, with appropriate image feedback, reaches targets with repeatability and accuracy under 0.5 mm. The embedded approach reveals to be a key feature since it reduces hysteresis errors by a factor of 6.6 compared to a previous non-embedded version of the manipulator. The successful validation of this binary manipulator opens the door to a new design paradigm for low cost and highly capable pneumatic robots, specifically for the intra-MRI manipulation.
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Endo, Yasuomi, Yukari Tanikawa, Shinpei Okawa, Kazuto Masamoto, Hidetaka Okada, Tomohiro Kizuka, Michio Miyakawa, Yoko Hoshi, and Yukio Yamada. "Time-Resolved Diffuse Optical Tomography of Human Forearm Under Exercise." In ASME/JSME 2011 8th Thermal Engineering Joint Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajtec2011-44486.

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Light in the near-infrared wavelength range can penetrate deeping into biological tissues because the absorption by both water and hemoglobin is much smaller than in the other wavelength ranges. Oxygenated and deoxygenated hemoglobins have different light absorption characteristics. Therefore, by obtaining tomographic images of the absorption characteristics, it will be possible to know the hemodynamics inside deep tissues. Thus, the diffuse optical tomography (DOT) is expected as a new modality of biomedical imaging. In this study, we try to obtain DOT images of the forearms by conducting two types of exercise, and their differences caused by the muscle activity are discussed. By comparing the reconstructed DOT images with the magnetic resonance images of the forearm at the same position, the activated muscles can be identified in detail. As a result, the hemodynamics in the dominant muscles when performing flexion and extension of wrist are observed.
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Xing, Fangxu, Chuyang Ye, Jonghye Woo, Maureen Stone, and Jerry Prince. "Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging." In SPIE Medical Imaging, edited by Sébastien Ourselin and Martin A. Styner. SPIE, 2015. http://dx.doi.org/10.1117/12.2081652.

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Fonseca, Igor Oliveira da, Stella de Angelis Trivellato, Mayara Apolinario Januzzi, Guilherme Drumond Jardini Anastacio, and Igor de Lima e. Teixeira. "Sign of the unilateral “Coca-Cola Bottle”: in addition to thyroid disease." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.748.

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Background: The “Coca-Cola Bottle Sign” is a classic sign of thyroid diseases, especially Graves’ disease, with the appearance of eye orbit muscles edema seen by Magnetic Resonance Imaging. The belly of the muscle increases in thickness, giving the characteristic appearance. Despite being classically associated with this etiology, the finding may be present in other diseases, especially infiltrative ones. Objectives: To demonstrate how this radiological signal can suggest other etiologies, when atypical. Methods: Case report of a patient with an image finding suggestive of “CocaCola Bottle Sign”. Results: Patient, 71 years old, with Breast Cancer and Hepatic Metastasis, using Anastrazole. Osmophobia started and after 3 months, reduced visual acuity in the right eye, evolving in 20 days to amaurosis in the right eye, dizzying, and loss of visual acuity in the left eye. Upon examination, he had a missing direct pupillary reflex in the right eye and only light perception, and counting fingers in the left eye; paresis of the Superior Rectus, Medial, and Lower Oblique muscles of the Left Eye, with paresis maintained in the forced duction test. On ophthalmoscopy, he had atrophy of the retinal pigment epithelium in the bilateral periphery, without Papilledema. Metabolic screening did not show any relevant changes. In the Magnetic Resonance of Orbits, an intraconal nodular image was seen in the right orbital cavity, with perineuritis and extension to the belly of the lateral rectus muscle on this side, as the “Coca-Cola Bottle Sign”. Due to unilateral muscle involvement and signs of meningeal involvement, lumbar puncture with cytopathological examination was requested, being positive for Carcinoma Metastasis. Conclusions: The “Coca-Cola Bottle sign” is a classic sign of Graves’ disease, however, some signs, such as, unilateral and single orbital musculature involvement, may be suggestive of involvement by other etiologies, suggesting the benefit of an early expanded investigation.
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Xing, Fangxu, Maureen Stone, Jerry L. Prince, Xiaofeng Liu, Georges El Fakhri, and Jonghye Woo. "Floor-of-the-mouth muscle function analysis using dynamic magnetic resonance imaging." In Image Processing, edited by Bennett A. Landman and Ivana Išgum. SPIE, 2021. http://dx.doi.org/10.1117/12.2581484.

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Reports on the topic "Muscles Magnetic resonance imaging"

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Russek, Stephen E. Magnetic Resonance Imaging Biomarker Calibration Service:. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.250-100.

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Schweizer, M. Developments in boron magnetic resonance imaging (MRI). Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/421332.

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Schmidt, D. M., and M. A. Espy. Low-field magnetic resonance imaging of gases. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674672.

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Bronskill, Michael J., Paul L. Carson, Steve Einstein, Michael Koshinen, Margit Lassen, Seong Ki Mun, William Pavlicek, et al. Site Planning for Magnetic Resonance Imaging Systems. AAPM, 1986. http://dx.doi.org/10.37206/19.

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Budakian, Raffi. Nanometer-Scale Force Detected Nuclear Magnetic Resonance Imaging. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada591583.

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Haslam, Philip. Multiparametric magnetic resonance imaging of the prostate gland. BJUI Knowledge, March 2021. http://dx.doi.org/10.18591/bjuik.0731.

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Schmidt, D. M., J. S. George, S. I. Penttila, and A. Caprihan. Nuclear magnetic resonance imaging with hyper-polarized noble gases. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/534499.

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Botto, R. E., and G. D. Cody. Magnetic resonance imaging of solvent transport in polymer networks. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/26588.

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Diegert, C. Innovative computing for diagnoses from medical, magnetic-resonance imaging. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/477671.

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Ivankov, A. P., and P. V. Selivyerstov. Magnetic resonance imaging for subchondral insufficiency fracture of knee. OFERNIO, February 2022. http://dx.doi.org/10.12731/ofernio.2022.24949.

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