Bibliografie tematiche / Images treatment

Letteratura scientifica selezionata sul tema "Images treatment"

Autore: Grafiati

Pubblicato: 27 luglio 2024

Ultima modifica: 28 luglio 2024

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Articoli di riviste sul tema "Images treatment"

Allum, Shayne. "Remote Online Image Review for Stereotactic CBCT Treatment Images". Journal of Medical Imaging and Radiation Sciences 53, n. 2 (giugno 2022): S13. http://dx.doi.org/10.1016/j.jmir.2022.04.036.

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Chou, Szu-Yuan, Cindy Chan, Yu-Chieh Lee, Tzu-Ning Yu, Chii-Ruey Tzeng e Chi-Huang Chen. "Evaluation of adenomyosis after gonadotrophin-releasing hormone agonist therapy using ultrasound post-processing imaging: a pilot study". Journal of International Medical Research 48, n. 6 (giugno 2020): 030006052092005. http://dx.doi.org/10.1177/0300060520920056.

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Objective We explored a method for the quantitative sonographic analysis of myometrial texture using computer-aided image analysis software to assess outcomes following treatment with gonadotrophin-releasing hormone (GnRH) agonist for adenomyosis in women with infertility. Method Data for patients with ultrasound images of the myometrium obtained at Taipei Medical University Hospital from 1 September 2018 to 5 April 5 2019 were analyzed. Only 10 patients with 20 ultrasound images matched the eligibility criteria. The images were divided into pre-treatment (n = 10) and post-treatment images (n = 10) and quantitative grayscale histograms were obtained from the ultrasound images using publicly available ImageJ computer-aided image analysis software. We analyzed the differences between the pre- and post-treatment images using the Mann–Whitney test and compared the results with outcomes assessed by serum CA-125 levels. Results Image analysis of the grayscale histograms revealed significant differences between before and after treatment. The classification of the myometrium pre-treatment and post-treatment was similar using CA-125 and histogram grayscale analysis. Conclusion Computer-aided image analysis of grayscale histograms of the myometrium obtained from ultrasound images is an alternative method for assessing myometrial conditions after GnRH agonist treatment in patients with adenomyosis.

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Thilagashanthi, T., K. Gunasekaran e K. S. Satyanarayanan. "Treatment on Coconut Shell to Improve its Quality for Use as Coarse Aggregate". Materials Science Forum 1030 (maggio 2021): 94–102. http://dx.doi.org/10.4028/www.scientific.net/msf.1030.94.

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To improve the quality of coconut shell (CS) to use as coarse aggregate different treatment methods are given to CS. Polyvinyl alcohol (PVA) and ferrous sulphate (FS) were used as materials for treating the CS. Ten different types of treatments were considered from raw CS to treat with PVA and FS. Significant reduction of water absorbing quality on CS was found from the different types of treatment given. Scanning electron microscopic (SEM) images were also taken and analyzed. SEM images obtained are exported into the software called ImageJ and analyzed in two different ways: one way is using 8 bits and other way is called RGB. An extract from the ImageJ software is given to support the results of treated CS aggregates. If the CS aggregates are treated, then no doubt that the water absorbing capacity of CS can be reduced.

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Chang, Jenghwa, Sunitha Thakur, Gerard Perera, Alex Kowalski, Wei Huang, Sasan Karimi, Margie Hunt et al. "Image-fusion of MR spectroscopic images for treatment planning of gliomas". Medical Physics 33, n. 1 (19 dicembre 2005): 32–40. http://dx.doi.org/10.1118/1.2128497.

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CHANG, J., S. THAKUR, G. PERERA, A. KOWALSKI, W. HUANG, S. KARIMI, M. HUNT, J. KOUTCHER, S. LEIBEL e H. AMOLS. "Image-fusion of MR spectroscopic images for treatment planning of gliomas". International Journal of Radiation OncologyBiologyPhysics 60 (settembre 2004): S223—S224. http://dx.doi.org/10.1016/s0360-3016(04)01236-2.

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Chang, J., S. Thakur, G. Perera, A. Kowalski, W. Huang, S. Karimi, M. Hunt et al. "Image-fusion of MR spectroscopic images for treatment planning of gliomas". International Journal of Radiation Oncology*Biology*Physics 60, n. 1 (settembre 2004): S223—S224. http://dx.doi.org/10.1016/j.ijrobp.2004.06.179.

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Augustine, D. X., A. Garg e C. Knechtli. "Cardiac lymphoma: ECG images pre-treatment and post-treatment". Case Reports 2010, sep23 1 (29 settembre 2010): bcr0520103018. http://dx.doi.org/10.1136/bcr.05.2010.3018.

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Shalev, S., L. Bartel, P. Therrien, P. Hahn e M. Carey. "Treatment planning with images of regret". International Journal of Radiation Oncology*Biology*Physics 12 (novembre 1986): 142. http://dx.doi.org/10.1016/0360-3016(86)90602-4.

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Shalev, Shlomo, David Viggars, Maxine Carey e Margaret Stewart. "Treatment Planning Using Images of Regret". Medical Dosimetry 13, n. 2 (1988): 57–61. http://dx.doi.org/10.1016/0958-3947(88)90031-3.

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Poojary, Manjula, e Yarramalle Srinivas. "Image Segmentation Based on G.O.A for Finding Deformities in Medical and Aura Images". Indian Journal Of Science And Technology 17, n. 20 (17 maggio 2024): 2117–27. http://dx.doi.org/10.17485/ijst/v17i20.629.

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Objectives: The research aims to develop the segmentation model to identify the deformity in the medical images as accurately as possible and plan for better medical treatment. The study is extended to identify the disease before its appearance in the human body through human aura images to support aura imaging in medical diagnosis. Methods: The study used a brain image from the UCI data set and Aura images from the Biowell data set to identify the disease. The segmentation model Bivariate Gaussian Mixture Model (B.G.M.M) was developed. Model parameters are derived using the Expectation Maximization (E.M) Algorithm. The Grasshopper optimization Algorithm (G.O.A) extracts optimal features from the images. The chosen feature is fed as input to the classification model B.G.M.M. Segmentation accuracy is measured using the quality metrics. Findings: The developed approach shows 97% accuracy in identifying the damaged tissues in MRI images and high-intensity energy zones in the aura images, indicating the potential for deformities. Novelty: This study significantly contributes to the field by offering novel solutions for precise and comprehensive image analysis in medical and aura imaging contexts. Keywords: G.O.A, segmentation, G.M.M, E.M, quality metrics, deformity identification, Hue and saturation

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Tesi sul tema "Images treatment"

Tuncer, Ozgur. "Segmentation, Registration And Visualization Of Medical Images For Treatment Planning". Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1093368/index.pdf.

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Medical imaging has become the key to access inside human body for the purpose of diagnosis and treatment planning. In order to understand the effectiveness of planned treatment following the diagnosis, treated body part may have to be monitored several times during a period of time. Information gained from successive imaging of body part provides guidance to next step of treatment. Comparison of images or datasets taken at different times requires registration of these images or datasets since the same conditions may not be provided at all times. Accurate segmentation of the body part under treatment is needed while comparing medical images to achieve quantitative and qualitative measurements. This segmentation task enables two dimensional and three dimensional visualizations of the region which also aid in directing the planning strategy. In this thesis, several segmentation algorithms are investigated and a hybrid segmentation algorithm is developed in order to segment bone tissue out of head CT slices for orthodontic treatment planning. Using the developed segmentation algorithm, three dimensional visualizations of segmented bone tissue out of head CT slices of two patients are obtained. Visualizations are obtained using the MATLAB Computer software&
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s visualization library. Besides these, methods are developed for automatic registration of twodimensional and three-dimensional CT images taken at different time periods. These methods are applied to real and synthetic data. Algorithms and methods used in this thesis are also implemented in MATLAB computer program.

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Bazalova, Magdalena. "The use of computed tomography images in Monte Carlo treatment planning". Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=32513.

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Monte Carlo (MC) dose calculations cannot accurately assess the dose delivered to the patient during radiotherapy unless the patient anatomy is well known. This thesis focuses on the conversion of patient computed tomography (CT) images into MC geometry files. Metal streaking artifacts and their effect on MC dose calculations are first studied. A correction algorithm is applied to artifact-corrupted images and dose errors due to density and tissue mis-assignment are quantified in a phantom and a patient study. The correction algorithm and MC dose calculations for various treatment beams are also investigated using phantoms with real hip prostheses. As a result of this study, we suggest that a metal artifact correction algorithm should be a part of any MC treatment planning. By means of MC simulations, scatter is proven to be a major cause of metal artifacts. The use of dual-energy CT (DECT) for a novel tissue segmentation scheme is thoroughly investigated. First, MC simulations are used to determine the optimal beam filtration for an accurate DECT material extraction. DECT is then tested on a CT scanner with a phantom and a good agreement in the extraction of two material properties, the relative electron density rho_e and the effective atomic number Z is found. Compared to the conventional tissue segmentation based on rho_e-differences, the novel tissue segmentation scheme uses differences in both rho_e and Z. The phantom study demonstrates that the novel method based on rho_e and Z information works well and makes MC dose calculations more accurate. This thesis demonstrates that DECT suppresses streaking artifacts from brachytherapy seeds. Brachytherapy MC dose
Les calculs de dose Monte Carlo (MC) ne peuvent précisément déterminer la dose délivrée au patient, à moins de bien connaître son anatomie. Cette thèse se concentre sur la conversion des images tomographiques du patient en fichier de géométrie Monte Carlo. Les artefacts métalliques et leur effet sur les calculs de dose MC sont étudiés. Un algorithme de correction est appliqué sur les images avec artefacts et les erreurs de dose dues au mauvais assignement des densités et tissus sont quantifiées dans un fantôme et une étude de patient. L'algorithme de correction est aussi testé sur des fantômes avec de réelles prothèses de hanches et l'effet de correction sur les calculs de dose MC est étudié. En tant que résultat de cette étude, nous suggérons qu'un algorithme de correction des artefacts métalliques soit intégré à tout plan de traitement MC. Par le biais de simulations MC, le diffusé est prouvé être une cause majeure des artefacts métalliques. L'utilisation d'un scanner double énergie pour une méthode novatrice de segmentation de tissu est minutieusement étudiée. Tout d'abord, les simulations MC sont utilisées pour déterminer la filtration optimale de faisceau pour une extraction précise du matériau en scanner double énergie. La méthode à double énergie est ensuite testée sur un scanner avec un fantôme et un bon accord dans l'extraction des propriétés des deux matériaux, la densité électronique relative rho_e et le nombre effectif atomique Z est trouvé. Comparé à la segmentation conventionnelle des tissus réalisée sur la base des différents rho_e, la méthode novatrice de segmentation de tissu utilise les diff

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Akhtari, Mohammad Mehdi. "Accuracy of inverse treatment planning on computed tomography like images derived from magnetic resonance data". Thesis, Umeå universitet, Institutionen för fysik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-68721.

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Treatment planning for radiotherapy involves different types of imaging to delineate target volume precisely. The most suitable sources to get 3D information of the patient are the computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET)/CT modalities. CT is a modern medical imaging technique that allows three-dimensional treatment planning and conformal treatment techniques. By combining CT images with efficient dosimetry software, accurate patient positioning methods and verification and quality assurance good results can be achieved. The CT images show how the radiation interacts with the material based on each tissue has a different attenuation coefficient, so the data can be used for dose calculations in treatment planning. Radiation oncology is therapeutic modality, in which irradiating cancer cells as target is the main goal while always try to limit the dose to healthy tissues and organs. CT images have good potentials because they can provide high geometrical accuracy and electron density information. Having said that, however, using CT images alone for planning does not provide enough information in order to delineate the target volume accurately because the attenuation in soft tissue is fairly constant therefore the soft tissue contrast is poor. Here, (MR) imaging can be very useful since it has superior soft tissue contrast especially in conditions such as prostate cancer, brain lesions, and head and neck tumors. It should be noted that MR images cannot provide electron density information that is required for dose calculations. It has been hypothesized that since MRI images have certain benefits in comparison with CT images such as its superior soft tissue contrast which improves contrast resolution between different types of tissues, it would be beneficial to use MRI alone for both target delineation and treatment planning to save time and costs. This was investigated by introducing substitute computed tomography (SCT) which can be interpreted as CT equivalent information obtained by MRI images. We used data from five patients with intracranial tumors, and reviewed their initial dosimetric treatment plans that were based solely on CT images, that data was also used to evaluate the dosimetric accuracy of our research treatment plans. Optimization plans that are based on CT images and substitute CT (SCT) was compared with each other in the first step. On the second step the treatment plan that was based on SCT images was transferred to the CT images without any changes and comparisons between the dose calculations on both data sets were made. The delivered dose to planning target volume (PTV) and risk organs was compared. Gamma index results between SCT and transferred plan showed no difference in the dose distribution map in PTV. The maximum difference was in the outer contour to the skull. The average and median dose delivered to PTV was within 0.35% difference studying in all patients. In conclusion for patients with intracranial tumors the dosimetric accuracy of treatment plans based on SCT and MR images were very accurate, and we demonstrated that it was possible to reach the same dose volume histograms by SCT compared to CT with minimal differences, which were not significant.

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FINOTELLO, ALICE. "Vascular remodeling after endovascular treatment: quantitative analysis of medical images with a focus on aorta". Doctoral thesis, Università degli studi di Genova, 2019. http://hdl.handle.net/11567/943023.

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In the last years, the convergence of advanced imaging techniques and endovascular procedures has revolutionized the practice of vascular surgery. However, regardless the anatomical district, several complications still occur after endovascular treatment and the impact of endovascular repair on vessel morphology remains unclear. Starting from this background, the aim of this thesis is to ll the gaps in the eld of vessel remodeling after endovascular procedure. Main focus of the work will be the repair of the aorta and, in particular thoracic and thoracoabdominal treatments. Furthermore an investigation of the impact of endovascular repair on femoro-popliteal arterial segment will be reported in the present work. Analyses of medical images will been conducted to extract anatomical geometric features and to compare the changes in morphology before treatment and during follow-up. After illustrating in detail the aims and the outline of the dissertation in Chapter 1, Chapter 2 will concern the anatomy and the physiology of the aorta along with the main aortic pathologies and the related surgical treatments. Subsequently, an overview of the medical image techniques for segmentation and vessel geometric quantication will be provided. Chapter 3 will introduce the concept of remodeling of the aorta after endovascular procedure. In particular, two types of aortic remodeling will be considered. On one side remodeling can be seen as the shrinkage of the aneurysmal sac or false lumen thrombosis. On the other side, aortic remodeling could be seen as the changes in the aortic morphology following endograft placement which could lead to complications. Chapter 4 will illustrate a study regarding the analysis of medical images to measure the geometrical changes in the pathological aorta during follow-up in patients with thoracoabdominal aortic aneurysms treated with endovascular procedure using a novel uncovered device, the Cardiatis Multilayer Flow Modulator. Chapter 5 will focus on the geometrical remodeling of the aortic arch and descending aorta in patients who underwent hybrid arch treatment to treat thoracic aneurysms. The goal of the work is to develop a pipeline for the processing of pre-operative and post-operative Computed Tomography images in order to detect the changes in the aortic arch physiological curvature due to endograft insertion. Chapter 6 will focuse on the use of 3D printing technology as valuable tool to support patient's follow-up. In particular, we report a case of a patient originally treated with endovascular procedure for type B aortic dissection and which experimented several complications during follow-up. 3D printing technology is used to show the remodeling of the aortic vasculature during time. Chapter 7 will concern patient-specic nite element simulations of aortic endovascular procedure. In particular, starting from a clinical case where complication developed during followup, the predictive value of computational simulations will be shown. Chapter 8 will illustrate a study concerning the evaluation of morphological changes of the femoro-popliteal arterial segment due to limb exion in patients undergoing endovascular treatment of popliteal artery aneurysms.

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Sperling, Nicholas Niven. "A Novel Algorithm for the Reconstruction of an Entrance Beam Fluence from Treatment Exit Patient Portal Dosimetry Images". University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1384521982.

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McCowan, Peter Michael. "in vivo patient dose verification of volumetric modulated arc therapy including stereotactic body radiation treatment applications using portal dose images". Medical Physics, 2015. http://hdl.handle.net/1993/31120.

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The complexity of radiation therapy delivery has increased over the years due to advancements in computing and technical innovation. A system of dose delivery verification has the potential to catch treatment errors and therefore improve patient safety. The goal of this thesis was to create a portal image-based in vivo dose reconstruction model for volumetric modulated arc therapy (VMAT) deliveries, specifically for stereotactic body radiation therapy (SBRT). This model-based approach should be robust and feasible within a clinical setting. VMAT involves the modulation of dose rate, gantry speed, and aperture shaping while the treatment gantry (i.e., x-ray beam) rotates about the patient. In this work, portal images were acquired using an amorphous silicon electronic portal imaging device (a-Si EPID). A geometrical characterization of the linear accelerator (linac) during VMAT delivery was performed. An angle adjustment method was determined which improves each EPID’s angular accuracy to within ±1° of the true physical angle. SBRT delivers large doses over fewer fractions than conventional radiotherapy, therefore, any error during an SBRT delivery will have a greater impact on the patient. In this work, a robust, model-based SBRT-VMAT dose reconstruction verification system using EPID images was developed. The model was determined to be clinically feasible. The accuracy of a 3D in vivo dose reconstruction, using all the EPID images acquired during treatment, is sensitive to the chosen frame averaging per EPID image: the greater the frame averaging, the larger the reconstruction error. Optimization of the EPID frame averaging number as a function of average linac gantry speed and dose per fraction were determined. The EPID-based in vivo dose reconstruction model for SBRT-VMAT developed here was determined to be robust, accurate, and clinically feasible as long as adjustments were made in order to correct for EPID image geometrical errors and frame-averaging errors.
May 2016

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Abdallah, Zeinab. "Reconstruction 3D de microlentilles à partir d'images au microscope électronique à balayage". Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALS010.

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Les défis de la métrologie 3D pour les objets microscopiques au sein de l'industrie microélectronique sont abordés, en se concentrant particulièrement sur les nœuds avancés et les dispositifs "more-than-moore". La Microscopie Électronique à Balayage (MEB), utilisant les électrons secondaires émis en surface (SE), est employée dans une stratégie de métrologie 3D rapide et non destructive impliquant la création de structures ressemblant à des microlentilles sur des plaquettes de 300 nm à l'aide de la lithographie en niveaux de gris avec une "i-line lithography". L'outil MEB, doté d'un agencement de détecteurs multiples comprenant un détecteur SE à quatre quadrants, ainsi que des mesures simultanées de Microscopie à Force Atomique (AFM), est utilisé pour le co-enregistrement et l'élimination du bruit de fond des deux ensembles de données. L'exploration approfondie de la métrologie MEB dans cet agencement spécifique de détecteurs comprend des investigations approfondies sur divers modèles analytiques, affinant la compréhension de leur adaptabilité et de leur efficacité. Le modèle analytique de MEB, crucial pour l'étalonnage du détecteur et la reconstruction paramétrique, surmonte les limitations initiales grâce à une pondération d'image orientée par quadrant, mettant en valeur son utilité et sa validité. Des contributions significatives sont apportées à l'avancement de la métrologie des objets microscopiques, répondant aux besoins critiques de l'industrie microélectronique
Challenges in 3D metrology for microscopic objects within the microelectronics industry are addressed, particularly focusing on advanced nodes and "more-than-moore" devices. Scanning Electron Microscopy (SEM), employing surface-emitted Secondary Electrons (SE), is utilized in a rapid and non-destructive 3D metrology strategy involving the creation of microlens-like structures on 300 nm wafers using grayscale i-line lithography. The SEM tool, featuring a multiple-detector arrangement, including a four-quadrant SE detector, along with simultaneous Atomic Force Microscopy (AFM) measurements, is employed for co-registration and background elimination from both datasets. The thorough exploration of SEM metrology within this specific detector arrangement includes in-depth investigations into various analytical models, refining the understanding of their adaptability and efficiency. The analytical SEM model, crucial for detector calibration and parametric reconstruction, overcomes initial limitations through quadrant-oriented image weighting, showcasing its utility and validity. Significant contributions are made to advancing microscopic object metrology, addressing critical needs in the microelectronics industry

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Verguet, Amandine. "Développements méthodologiques et informatiques pour la microscopie électronique en transmission appliqués à des échantillons biologiques Alignment of Tilt Series (Chapter 7 of the Book: Cellular Imaging: Electron Tomography and Related Techniques, Hanssen Eric) An ImageJ tool for simplified post-treatment of TEM phase contrast images (SPCI) Comparison of methods based on feature tracking for fiducial-less image alignment in electron tomography". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS487.

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La microscopie électronique en transmission est une technique pertinente pour les études structurales en biologie. Certaines méthodes d’acquisition et d’analyse doivent être améliorées pour permettre l’observation d’échantillons sensibles aux doses d’électrons dans de bonnes conditions de contraste et de rapport signal sur bruit. Au cours de cette thèse, j’ai exploré différentes approches méthodologiques et informatiques dans le but d’améliorer la qualité des images. J’ai ainsi évalué la pertinence de la combinaison de l’imagerie en énergie filtrée avec le mode STEM. Je montre que cette combinaison est prometteuse puisqu’elle permet d’améliorer le rapport signal sur bruit des images. Par ailleurs, j’ai collaboré à des développements algorithmiques et logiciels pour la reconstitution d’images de contraste de phase. Ceci permet l’amélioration du contraste par rapport à une acquisition classique. Je montre aussi qu’à cette fin, la phase plate tout comme les séries focales sont des outils efficaces. En étudiant une approche logicielle pour l’exploitation des séries focales, nous avons déterminé qu’il est possible d’obtenir, en plus de données quantitatives, un résultat qualitatif à partir d’une seule image. J’ai ainsi développé le plugin SPCI pour le logiciel ImageJ, qui permet de traiter de une à trois images focales. Je m’intéresse également à l’optimisation du processus de reconstruction tomographique, tant à l’alignement qu’à la reconstruction proprement dite. L’approche évaluée pour l’alignement utilise des points caractéristiques associés à des descripteurs locaux. Elle s’est montrée performante et permet de traiter des images sans marqueurs fiduciaires. Enfin, je propose une nouvelle méthode unifiée de reconstruction tridimensionnelle de séries tomographiques parcimonieuses. Il en découle une approche innovante mélangeant reconstruction et alignement dont l’ébauche servira de base à des travaux futurs pour le traitement de séries tomographiques parcimonieuses. L’ensemble des méthodes évoquées ici, leur validation, ainsi que les perspectives d’évolution associées sont décrites dans ce manuscrit
Transmission Electron Microscopy is a major tool for performing structural studies in biology. Some methods used for image sampling and analysis need to be improved in order to observe electron dose sensitive samples with good contrast and good signal to noise ratio. During this thesis, various methodological and computational approaches have been studied which aim to improve image quality. First, I evaluated the relevance of combining energy filtered imaging with the STEM mode. I show that this allows an improvement of the signal to noise ratio of images. Then, I devised an algorithm that generates an image from phase data. This approach allows improving the image contrast over direct imaging. The use of a phase plate and focal tilt series are both efficient tools to achieve this goal. While working on the software approach for processing of tilt series, we found that a qualitative result can be obtained from a single image. I developped the SPCI plugin for the ImageJ software. It allows processing between one and three focal images. My work involves optimization of the tomographic reconstruction process, including working with both alignment algorithms and reconstruction algorithms. I expose my studies on image alignment methods used on tilt series. These methods do rely on the use of key points and associated local descriptors. They have proved to be efficient to process images lacking fiducial markers. Finally, I propose a new unified algorithmic approach for 3D reconstruction of tomographic tilt series acquired with sparse sampling. I then derived another novel method that integrates the image alignment step in the process. Studies and developments will continue on both methods in futur work

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Woodward, Rana M. "Treatment of specific phobia in older adults : efficacy and barriers to treatment /". [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19051.pdf.

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Money, Tyler. "Adolescent girls' perception of change in residential treatment centers : a qualitative study of how treatment works /". Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2253.pdf.

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Libri sul tema "Images treatment"

S, Studdiford James, a cura di. Images from the wards: Diagnosis and treatment. Philadelphia, PA: Saunders/Elsevier, 2010.

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Koyfman, Alex. Emergency medicine images for practice: An overview of X-ray, ultrasound, CT, and MRI images. Philadelphia: Wolters Kluwer, 2016.

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Klein, Nancy C. Healing images for children: Teaching relaxation and guided imagery to children facing cancer and other serious illnesses. Watertown, Wis: Inner Coaching, 2001.

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Bard, Robert L., a cura di. Image Guided Dermatologic Treatments. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29236-2.

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Bard, Robert L., a cura di. Image-Guided Aesthetic Treatments. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36266-8.

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Bard, Robert L., Jurgen J. Fütterer e Dan Sperling, a cura di. Image Guided Prostate Cancer Treatments. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40429-0.

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Paul, Gilbert, e Miles Jeremy 1968-, a cura di. Body shame: Conceptualisation, research, and treatment. Hove, East Sussex: Brunner-Routledge, 2002.

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D'Amico, Anthony V., Jay S. Loeffler e Jay R. Harris. Image-Guided Diagnosis and Treatment of Cancer. New Jersey: Humana Press, 2003. http://dx.doi.org/10.1385/1592594220.

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D’Amico, Anthony V., Jay S. Loeffler e Jay R. Harris, a cura di. Image-Guided Diagnosis and Treatment of Cancer. Totowa, NJ: Humana Press, 2003. http://dx.doi.org/10.1007/978-1-59259-422-1.

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V, D'Amico Anthony, Loeffler Jay S e Harris Jay R, a cura di. Image-guided diagnosis and treatment of cancer. Totowa, N.J: Humana Press, 2003.

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Capitoli di libri sul tema "Images treatment"

Bayareh-Mancilla, Rafael. "Thermal Images". In Diagnosis and Treatment of Cancer using Thermal Therapies, 41–63. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003342663-3.

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Lackner, Regina. "Imagination—The Power of Inner Images". In Stabilization in Trauma Treatment, 93–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-67480-2_10.

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Piché, Lyne, e Anton Schweighofer. "Treatment Approaches". In Working with Offenders who View Online Child Sexual Exploitation Images, 39–52. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003388142-5.

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Feelders, Richard A., e Leo J. Hofland. "JCEM ARCHIVEUpdate: Medical Treatment of Cushing’s Disease". In Diagnostic Dilemmas: Images in Endocrinology, 142–60. 8401 Connecticut Avenue, Suite 900, Chevy Chase, Maryland 20815 www.endo-society.org: The Endocrine Society, 2013. http://dx.doi.org/10.1210/dde2.9781936704590.jcem03.

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Špero, Martina. "Ruptured Dermoid Cyst and Ischaemic Stroke (After In-Vitro Fertilization Treatment)". In Neuroradiology - Images vs Symptoms, 35–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69213-1_5.

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Vavro, Hrvoje. "Progressive Multifocal Leukoencephalopathy (PML) After Obinutuzumab Treatment for Chronic Lymphocytic Leukaemia (CLL)". In Neuroradiology - Images vs Symptoms, 189–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69213-1_24.

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McCabe, Amy S., e Michael R. Fitzgerald. "Media Images of Environmental Biotechnology: What does the Public See?" In Environmental Biotechnology for Waste Treatment, 15–24. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-5955-5_2.

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Cumberbatch, Guy, e Ralph Negrine. "Comparing the treatment of disabled and able-bodied characters in fictional programmes". In Images of Disability on Television, 62–72. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003341031-7.

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Melmed, Shlomo, Felipe F. Casanueva, Andrew R. Hoffman, David L. Kleinberg, Victor M. Montori, Janet A. Schlechte e John A. H. Wass. "JCEM ARCHIVEDiagnosis and Treatment of Hyperprolactinemia: An Endocrine Society Clinical Practice Guideline". In Diagnostic Dilemmas: Images in Endocrinology, 130–53. 8401 Connecticut Avenue, Suite 900, Chevy Chase, Maryland 20815 www.endo-society.org: The Endocrine Society, 2011. http://dx.doi.org/10.1210/dde1.9781936704583.jcem03.

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Tensho, Keiji. "Tibial Insertion of the ACL: 3D-CT Images, Macroscopic, and Microscopic Findings". In ACL Injury and Its Treatment, 39–50. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55858-3_4.

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Atti di convegni sul tema "Images treatment"

Lychak, Oleh. "One method for polarization images treatment". In SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, a cura di Andrew G. Tescher. SPIE, 1994. http://dx.doi.org/10.1117/12.186596.

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Su, Y., D. Monts, S. Singh, R. Machiraju, T. Philip e P. Jang. "Feature extraction from images of thermal treatment systems". In 29th AIAA, Plasmadynamics and Lasers Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-2481.

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Jobin Christ, M. C., P. Mohamed Sajid, V. Mythily, V. A. Sairam e A. Sanjo Christ. "Patient Treatment Classification using Machine Learning". In 2024 Tenth International Conference on Bio Signals, Images, and Instrumentation (ICBSII). IEEE, 2024. http://dx.doi.org/10.1109/icbsii61384.2024.10564026.

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Fuchs, Ehud. "Identifying surface elements in STM images using neural networks". In Optical Fibers and Sensors for Medical Diagnostics, Treatment and Environmental Applications XXI, a cura di Israel Gannot e Katy Roodenko. SPIE, 2021. http://dx.doi.org/10.1117/12.2585276.

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Singh, Prateechi, e Vikas Saxena. "Assessing the Scar Images to Check Medical Treatment Effectiveness". In 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2018. http://dx.doi.org/10.1109/spin.2018.8474247.

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Yatin, Daketi, Challa Avinash e D. Hemavathi. "Warts Disease Treatment Suggestion Using Images and Numerical Data". In 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI). IEEE, 2024. http://dx.doi.org/10.1109/accai61061.2024.10602023.

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Trofimov, Vyacheslav A., e Vladislav V. Trofimov. "Real-time computer treatment of THz passive device images with the high image quality". In SPIE Defense, Security, and Sensing. SPIE, 2012. http://dx.doi.org/10.1117/12.919770.

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de Boer, J. F., T. E. Milner, M. C. van Gemert e J. S. Nelson. "Birefringence Measurements of Biological Tissue with Low Coherence Optical Tomography and its Application to Human Skin". In Lasers in Dermatology: Bio-Optics and Treatment of Human Skin. Washington, D.C.: Optica Publishing Group, 1997. http://dx.doi.org/10.1364/lid.1997.fc2.

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Wise, Barry M., e Jeremy M. Shaver. "Detection of cervical cancer from evoked tissue fluorescence images using 2- and 3-way methods". In Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XIX, a cura di Israel Gannot. SPIE, 2019. http://dx.doi.org/10.1117/12.2516584.

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Ingle, Archana, Mani Roja, Manoj Sankhe e Deepak Patkar. "Image Processing-based Analysis of Neural Network Segmented Brain Tumor MRI Images for Treatment Planning". In 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI). IEEE, 2023. http://dx.doi.org/10.1109/accai58221.2023.10200632.

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Rapporti di organizzazioni sul tema "Images treatment"

Salazar, Lina, Ana Claudia Palacios, Michael Selvaraj e Frank Montenegro. Using Satellite Images to Measure Crop Productivity: Long-Term Impact Assessment of a Randomized Technology Adoption Program in the Dominican Republic. Inter-American Development Bank, settembre 2021. http://dx.doi.org/10.18235/0003604.

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This study combines three rounds of surveys with remote sensing to measure long-term impacts of a randomized irrigation program in the Dominican Republic. Specifically, Landsat 7 and Landsat 8 satellite images are used to measure the causal effects of the program on agricultural productivity, measured through vegetation indices (NDVI and OSAVI). To this end, 377 plots were analyzed (129 treated and 248 controls) for the period from 2011 to 2019. Following a Differencein-Differences (DD) and Event study methodology, the results confirmed that program beneficiaries have higher vegetation indices, and therefore experienced a higher productivity throughout the post-treatment period. Also, there is some evidence of spillover effects to neighboring farmers. Furthermore, the Event Study model shows that productivity impacts are obtained in the third year after the adoption takes place. These findings suggest that adoption of irrigation technologies can be a long and complex process that requires time to generate productivity impacts. In a more general sense, this study reveals the great potential that exists in combining field data with remote sensing information to assess long-term impacts of agricultural programs on agricultural productivity.

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Bobashev, Georgiy, John Holloway, Eric Solano e Boris Gutkin. A Control Theory Model of Smoking. RTI Press, giugno 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0040.1706.

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We present a heuristic control theory model that describes smoking under restricted and unrestricted access to cigarettes. The model is based on the allostasis theory and uses a formal representation of a multiscale opponent process. The model simulates smoking behavior of an individual and produces both short-term (“loading up” after not smoking for a while) and long-term smoking patterns (e.g., gradual transition from a few cigarettes to one pack a day). By introducing a formal representation of withdrawal- and craving-like processes, the model produces gradual increases over time in withdrawal- and craving-like signals associated with abstinence and shows that after 3 months of abstinence, craving disappears. The model was programmed as a computer application allowing users to select simulation scenarios. The application links images of brain regions that are activated during the binge/intoxication, withdrawal, or craving with corresponding simulated states. The model was calibrated to represent smoking patterns described in peer-reviewed literature; however, it is generic enough to be adapted to other drugs, including cocaine and opioids. Although the model does not mechanistically describe specific neurobiological processes, it can be useful in prevention and treatment practices as an illustration of drug-using behaviors and expected dynamics of withdrawal and craving during abstinence.

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Moradi, Mehdi. New Image-Based Techniques for Prostate Biopsy and Treatment. Fort Belvoir, VA: Defense Technical Information Center, aprile 2012. http://dx.doi.org/10.21236/ada589640.

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Shtern, Faina. Image-Guided, Minimally Invasive Diagnosis and Treatment of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, dicembre 2005. http://dx.doi.org/10.21236/ada450602.

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CT Tumor Volume Change for Advanced Disease, Clinically Feasible Profile. Chair Ritu Gill, Rudresh Jarecha e Ehsan Samei. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), luglio 2022. http://dx.doi.org/10.1148/qiba/20220721.

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A QIBA Profile is an implementation guide to generate a biomarker with an effective level of performance, mostly by reducing variability and bias in the measurement. The expected performance is expressed as Claims (Section 1.2). To achieve those claims, Actors (Scanners, Technologists, Physicists, Radiologists, Reconstruction Software, and Image Analysis Tools) must meet the Checklist Requirements (Section 3) covering Periodic QA, Subject Handling, Image Data Acquisition, Image Data Reconstruction, Image QA, and Image Analysis. This Profile is at the Clinically Feasible stage (qibawiki.rsna.org/index.php/QIBA_Profile_Stages) so, *The requirements have been performed and found to be practical by multiple sites *The claim is a hypothesis based on committee assessment of literature and QIBA groundwork CT Tumor Volume Change is used as a biomarker of disease risk, characterization, progression, and response to treatment. This involves measuring tumor volumes and assessing longitudinal changes within subjects, based on image processing of CT scans acquired at different timepoints. See Appendix B for a discussion of usage of this biomarker in practice. QIBA Profiles for other CT, MRI, PET, and Ultrasound biomarkers can be found at qibawiki.rsna.org

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Dunculin, Charles L. Hand-Held Probe MR Image-Guided Biopsy and Treatment of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, novembre 1999. http://dx.doi.org/10.21236/ada391548.

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Dumoulin, Charles I. Hand-Held Probe for MR Image-Guided Biopsy and Treatment of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, maggio 2001. http://dx.doi.org/10.21236/ada398211.

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Palacios-Meneses, Blessing Itzel, Sarah Bak-Geller Corona, Araceli Jiménez-Mendoza e Sandra Hernández-Corral. Body image in women undergoing bariatric surgery: a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, aprile 2023. http://dx.doi.org/10.37766/inplasy2023.4.0089.

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Review question / Objective: The purpose of this study is to present a synthesis of knowledge about the effects of bariatric surgery on the body image of women after surgical intervention. Condition being studied: Along with the increase in obesity rates, the number of surgical procedures for its treatment is also growing. While for healthcare professionals, the main indicator of success of bariatric surgery is weight loss and the control/remission of comorbidities associated with obesity, for those who undergo such intervention, their expectations go beyond that, as excess wight has affected their psychosocial spheres, generating disorders of body image, low self-esteem, anxiety, eating disorders, isolations, among others. Therefore, evaluating the effect of bariatric surgery on body image is a key factor in determining the success of surgery from the user’s perspective. It is necessary to have synthesis of knowledge considering sociocultural difference, objective measurement through instruments to incorporate them into long-term clinical follow-up.

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Go, Eugenia, Kentaro Nakajima, Yasuyuki Sawada e Kiyoshi Taniguchi. On the Use of Satellite-Based Vehicle Flows Data to Assess Local Economic Activity: The Case of Philippine Cities. Asian Development Bank, marzo 2022. http://dx.doi.org/10.22617/wps220079-2.

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Satellite image-derived vehicle counts were used to measure local economic activity following the opening of the new terminal at the Mactan-Cebu International Airport in the Philippines. Results reveal that the terminal’s opening has had positive impacts on Cebu’s local economy. A comparison of the vehicle count measure with luminosity-derived metrics suggests that the former is better at capturing seasonal and spatial variations in treatment effects, especially for beach tourism activities in Cebu.

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Alharbi, Shuaa S., e Haifa F. Alhasson. Toward the Identification of Applications of Artificial Intelligence for Dental Image Detection: Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, novembre 2022. http://dx.doi.org/10.37766/inplasy2022.11.0023.

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Review question / Objective: The purpose of this systematic review is to understand and compare the current applications of machine learning in the care of dental patients. This will enable us to assess their diagnostic and prognostic accuracy. As part of the study, we will identify areas of development for ML applications in the dental care field. In addition, we will suggest improvements to research methodology that will facilitate the implementation of ML technologies in services and improve clinical treatment guidelines based on the results of future studies. Condition being studied: This study rationally focused on reviewing the current state of Artificial Intelligence (AI) in dentistry and state-of-the-art applications, including the recognition of teeth cavities, filled teeth, crown predictions, oral surgery, and endodontic therapy.

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