Дисертації з теми "Non-invasive images"
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Dhinagar, Nikhil J. "Non-Invasive Skin Cancer Classification from Surface Scanned Lesion Images." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1366384987.
Повний текст джерелаMeng, Goh Chuan. "Estimation de profondeur de veine sous-invasive non invasive utilisant une imagerie multispectrale et des images de réflectance diffuses." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCK081.
Повний текст джерелаThe estimation of subcutaneous vein depth has been an important research topic in recent years due to its importance in optimizing the intravenous (IV) access of venipuncture. Various techniques and system of vein visualization were proposed to improve the vein viewing, but the lack of vein depth information limits the system performance in assisting the IV access; thus, the IV access in many cases remains dependent on skill or experience of the clinicians. Several techniques were proposed to estimate the vein depth using diffuse reflectance of which the optical density ratio (ODR) technique is the most complete solution. The concept of measuring the veins depth using ODR based technique is deserved to be applied in the real-world due to its low cost, non-invasive properties and from the fact that it is a non-skin contact measurement technique. Nishidate et. al. [1] suggested an optimum conditions to measure the vein depth and thickness by using ODR which was supported by experiment with customized tissue-like agar gel phantom. However, such experiment may not be sufficient to prove its application for in vivo measurement due to the lack of experiment for real data. Therefore, this thesis work was first started to improve the proposed model by Nishidate et. al. and expand it to measure the in vivo estimation of vein depth on real patients. The proposed system incorporates new components such as an autonomous vein segmentation algorithm, a more accurate estimation method for melanin content (Cm) and a fully new hardware design with reliable parts. Importantly, the experiment estimate the vein depth on real patients as well as a through comparison with Ultrasound data. The experiment results show a strong Pearson correlation of 0.843 as compared to Ultrasound data and this evidence that the developed system is works for the in vivo measurement of vein depth. Besides that, an optimum vein filter (matched filter) is proposed to be used in the imaging system to preserve the most accurate vein detection and allow the system to produce the results with least detection error. The selection of the optimum vein filter has laid an important platform from which to obtain the accurate vein segmentation of a NIR image
Soltani, Mariem. "Partitionnement des images hyperspectrales de grande dimension spatiale par propagation d'affinité." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S099/document.
Повний текст джерелаThe interest in hyperspectral image data has been constantly increasing during the last years. Indeed, hyperspectral images provide more detailed information about the spectral properties of a scene and allow a more precise discrimination of objects than traditional color images or even multispectral images. High spatial and spectral resolutions of hyperspectral images enable to precisely characterize the information pixel content. Though the potentialities of hyperspectral technology appear to be relatively wide, the analysis and the treatment of these data remain complex. In fact, exploiting such large data sets presents a great challenge. In this thesis, we are mainly interested in the reduction and partitioning of hyperspectral images of high spatial dimension. The proposed approach consists essentially of two steps: features extraction and classification of pixels of an image. A new approach for features extraction based on spatial and spectral tri-occurrences matrices defined on cubic neighborhoods is proposed. A comparative study shows the discrimination power of these new features over conventional ones as well as spectral signatures. Concerning the classification step, we are mainly interested in this thesis to the unsupervised and non-parametric classification approach because it has several advantages: no a priori knowledge, image partitioning for any application domain, and adaptability to the image information content. A comparative study of the most well-known semi-supervised (knowledge of number of classes) and unsupervised non-parametric methods (K-means, FCM, ISODATA, AP) showed the superiority of affinity propagation (AP). Despite its high correct classification rate, affinity propagation has two major drawbacks. Firstly, the number of classes is over-estimated when the preference parameter p value is initialized as the median value of the similarity matrix. Secondly, the partitioning of large size hyperspectral images is hampered by its quadratic computational complexity. Therefore, its application to this data type remains impossible. To overcome these two drawbacks, we propose an approach which consists of reducing the number of pixels to be classified before the application of AP by automatically grouping data points with high similarity. We also introduce a step to optimize the preference parameter value by maximizing a criterion related to the interclass variance, in order to correctly estimate the number of classes. The proposed approach was successfully applied on synthetic images, mono-component and multi-component and showed a consistent discrimination of obtained classes. It was also successfully applied and compared on hyperspectral images of high spatial dimension (1000 × 1000 pixels × 62 bands) in the context of a real application for the detection of invasive and non-invasive vegetation species
Florea, Ioana. "Pet parametric imaging of acetylcholine esterase activity without arterial blood sampling in normal subjects and patients with neurovegetative disease." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3425120.
Повний текст джерелаBelem, Brahima. "Non-invasive wound assessment by image analysis." Thesis, University of South Wales, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409107.
Повний текст джерелаSharp, Angela. "Assessment of putative markers for non-invasive detection of bladder cancer /." Assessment of putative markers for non-invasive detection of bladder cancerRead the abstract of the thesis, 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16763.pdf.
Повний текст джерелаAlonso-Caneiro, David. "Non-invasive assessment of tear film surface quality." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/41737/1/David_Alonso-Caneiro_Thesis.pdf.
Повний текст джерелаHillergren, Pierre. "Towards non-invasive Gleason grading of prostate cancer using diffusion weighted MRI." Thesis, Umeå universitet, Institutionen för fysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172808.
Повний текст джерелаWang, Shaobai. "Development and application of a non invasive image matching method to study spine biomechanics." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44851.
Повний текст джерелаIncludes bibliographical references (p. 83-92).
Research on spine biomechanics is critical to understand pathology such as degenerative changes and low back pain. However, current study on in-vivo spine biomechanics is limited by the complex anatomy and invasive methodology. Modem clinical imaging techniques such as magnetic resonance and fluoroscope images, which are widely accessible nowadays, have the potential to study in-vivo spine biomechanics accurately and non-invasively. This research presents a new combined magnetic resonance and fluoroscope imaging matching method to study human lumbar vertebral kinematics and disc deformation during various physiologic functional activities. Validation and application of this method as well as discussion of its performance and applicability are detailed herein.
by Shaobai Wang.
S.M.
Randall, D. "Towards a non-invasive diagnostic aid for abdominal adhesions using dynamic MRI and image processing." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/19141/.
Повний текст джерелаDerakhshani, Reza. "Determination of vitality from a non-invasive biomedical measurement for use in integrated biometric devices." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=1035.
Повний текст джерелаTitle from document title page. Document formatted into pages; contains x, 126 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. [72]-75).
Jaccard, N. "Development of an image processing method for automated, non-invasive and scale-independent monitoring of adherent cell cultures." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1461036/.
Повний текст джерелаLatasiewicz, Marta Joanna. "Familial amyloid polyneuropathy: ocular complications and the use of novel non-invasive imaging techniques to assess retinal involvement." Doctoral thesis, Universitat de Barcelona, 2020. http://hdl.handle.net/10803/670403.
Повний текст джерелаLa polineuropatía amiloidótica familiar (PAF) es una enfermedad hereditaria caracterizada por el depósito sistémico de transtiretina (TTR), que resulta en polineuropatía periférica debilitante, cardiopatía, nefropatía y, habitualmente, después de unos años, oftalmopatía. Ocasionalmente, el inicio puede ser atípico y el diagnóstico de PAF depende de la identificación de depósitos de amiloide en tejidos oculares clínicamente e histopatológicamente. Sin embargo, hasta ahora no se han publicado imágenes de TTR derivadas del ojo, identificadas utilizando técnicas de inmunotinción. En los tejidos oculares, la PAF puede causar complicaciones amenazantes para la vista, como el glaucoma y la angiopatía amiloide de la retina. El glaucoma en la PAF frecuentemente requiere tratamiento quirúrgico. La esclerectomía profunda no penetrante (EPNP) es una técnica quirúrgica con varias ventajas sobre la trabeculectomía tradicional. Se realiza con éxito en glaucoma de ángulo abierto primario y muchos tipos de glaucoma secundario, pero hasta ahora con pocos casos descritos en PAF. Las modalidades de imágen de retina, como la tomografía de coherencia óptica (OCT) y la autofluorescencia (AF), tienen un valor importante en la evaluación de las patologías retinianas. La angiografía con fluoresceína es el método convencional para evaluar la vasculatura retiniana, pero requiere la inyección de fluoresceína, que tiene varios efectos secundarios y contraindicaciones. Recientemente, una nueva modalidad no invasiva, la angiografía OCT (OCT-A) se ha convertido en una herramienta útil para visualizar la circulación sanguínea del polo posterior. En pacientes con PAF, el uso de OCT-A no ha sido publicado hasta ahora, y solo se han descrito dos casos de hallazgos de AF. Esta tesis doctoral, presentada como un compendio de publicaciones, se divide en tres partes. La primera parte (Artículo 1) tiene como objetivo presentar las imágenes de inmunotinción de TTR amiloide derivado del vítreo en una serie de pacientes con PAF, lo que demuestra que la biopsia vítrea es una herramienta de diagnóstico válida, especialmente en casos clínicamente atípicos. La segunda parte (Artículo 2) es una revisión retrospectiva de las historias clínicas de pacientes con PAF para determinar la prevalencia y las características del glaucoma de ángulo abierto secundario a la PAF. Revela la progresión particularmente rápida del glaucoma en la PAF y su mayor riesgo en pacientes con vitrectomía previa. Se ha presentado el tratamiento quirúrgico y los resultados de los pacientes afectados, lo que indica que EPNP es un tratamiento seguro y efectivo para el glaucoma secundario a PAF. La tercera parte (Artículo 3) es un estudio transversal observacional de hallazgos retinianos en pacientes con PAF. Se expone un análisis descriptivo de las imágenes de la retina en PAF utilizando nuevas técnicas no invasivas: AF, OCT, OCT-A y retinografía de campo amplio (UWF). Estas modalidades se pueden utilizar para detectar depósitos amiloides perivasculares de la retina, así como cambios microvasculares que incluyen áreas de no perfusión, lo que permite una mejor comprensión de la patología, las complicaciones y el pronóstico de los pacientes con PAF. También se muestra que la retinopatía amiloidea es más frecuente de lo que se publicó anteriormente. Los resultados de la tesis enfatizan el glaucoma y la retinopatía como las complicaciones irreversibles graves de la PAF y la necesidad de abordarlos precozmente. Esto es especialmente importante para establecer revisiones oculares regulares adecuadas en pacientes con PAF e identificar a aquellas personas que requieren atención oftalmológica más estricta para prevenir la pérdida de visión.
Lowry, Nathan Christopher. "Bayesian level sets and texture models for image segmentation and classification with application to non-invasive stem cell monitoring." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82500.
Повний текст джерелаThis thesis was scanned as part of an electronic thesis pilot project.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 183-193).
Image segmentation and classification, the identification and demarcation of regions of interest within an image, is necessary prior to subsequent information extraction, analysis, and inference. Many available segmentation algorithms require manual delineation of initial conditions to achieve acceptable performance, even in cases with high signal to noise and interference ratio that do not necessitate restoration. This weakness impedes application of image analysis to many important fields, such as automated, mass scale cultivation and non-invasive, non-destructive high throughput analysis, monitoring, and screening of pluripotent and differentiated stem cells, whether human embryonic (hESC), induced pluripotent (iPSC), or animal. Motivated by this and other applications, the Bayesian Level Set (BLS) algorithm is developed for automated segmentation and classification that computes smooth, regular segmenting contours in a manner similar to level sets while possessing a simple, probabilistic implementation similar to that of the finite mixture model EM. The BLS is subsequently extended to harness the power of image texture methods by incorporating learned sets of class-specific textural primitives, known as textons, within a three-stage Markov model. The resulting algorithm accurately and automatically classifies and segments images of pluripotent hESC and trophectoderm colonies with 97% and 91% accuracy for high-content screening applications and requires no previous human initialization. While no prior knowledge of colony class is assumed, the framework allows for its incorporation. The BLS is also validated on other applications, including brain MRI, retinal lesions, and wildlife images.
by Nathan Christopher Lowry.
Sc.D.
Massimini, Daniel Frank. "Technique and application of a non-invasive three dimensional image matching method for the study of total shoulder arthroplasty." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/46384.
Повний текст джерелаThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
MIT Institute Archives copy: with CD-ROM; divisional library copy with no CD-ROM.
Includes bibliographical references (p. 99-104).
Knowledge of in-vivo glenohumeral joint biomechanics after total shoulder arthroplasty are important for the improvement of patient function, implant longevity and surgical technique. No data has been published on the in-vivo glenohumeral joint contact locations in patients after total shoulder arthroplasty. Therefore, the objectives of this thesis were to determine the in-vivo glenohumeral joint contact locations and humeral head translations in patients after total shoulder arthroplasty. First, a non-invasive three dimensional fluoroscopic image matching method was developed and validated for use in the shoulder joint complex. Next, a group of patients that have undergone clinically successful total shoulder arthroplasty surgeries were recruited for study and imaged by the fluoroscopic imaging technique.The fluoroscopic imaging system was recreated in a virtual environment and the in vivo kinematics that were recorded by the fluoroscopes were recreated with three dimensional models. The contact centroids of the glenohumeral joint and humeral head translations were measured using solid modeling software. In summary, this thesis quantified the in-vivo glenohumeral joint contact locations and humeral head translations after total shoulder arthroplasty. These data provides surgeons and engineers valuable information for developing surgical treatments that may better help recreate 'normal' motion of the shoulder after total shoulder arthroplasty.
by Daniel Frank Massimini.
S.M.
TISATO, Flavia. "Study on Modern and Contemporary works of Art through non invasive integrated physical techniques." Doctoral thesis, Università degli studi di Ferrara, 2014. http://hdl.handle.net/11392/2388948.
Повний текст джерелаLakbakbi, Elyaaquoubi Nafissa. "Réalisation d'une tomographie ultrasonore par reconstruction utilisant le coefficient d'absorption : faisabilité d'une thermométrie non-invasive à l'aide de ce dispositif." Nancy 1, 1987. http://www.theses.fr/1987NAN10343.
Повний текст джерелаRamamoorthy, Dhyanesh. "Muscle Fatigue Detection using Infrared Thermography: Image Segmentation to Extract the Region of Interest from Thermograms." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1543923019568392.
Повний текст джерелаSchwerte, Thorsten. "Early development of the cardio-respiratory system in the model animals zebrafish (danio rerio) and xenopus laevis analysed with non-invasive computer assisted image analysis." Dortmund T. Schwerte, 2006. http://deposit.ddb.de/cgi-bin/dokserv?id=2789102&prov=M&dok_var=1&dok_ext=htm.
Повний текст джерелаHeise, Erich A. "Development and Commercialization of Functional, Non-Invasive Retinal Imaging Device Utilizing Quantification of Flavoprotein Fluorescence for the Diagnosis and Monitoring of Retinal Disease." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1458921113.
Повний текст джерелаPECCENINI, Eva. "A scanning device for wide band infrared reflectography." Doctoral thesis, Università degli studi di Ferrara, 2012. http://hdl.handle.net/11392/2389461.
Повний текст джерелаFang, Yu-Hua, and 方佑華. "Non-invasive approaches for measuring the cerebral metabolic rate of glucose with FDG-PET images." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/85811187639139275519.
Повний текст джерела國立陽明大學
醫學工程研究所
90
The quantitative analysis of [18F]2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) is able to provide an absolute value of the cerebral metabolic rate of glucose (CMRGlc) for the diagnosis of various brain functions; however, an input function from about 20 arterial blood samples is necessary for such a study. Due to the invasive nature of the blood sampling schedule, FDG-PET quantitative analysis is seldom performed in routine procedures. This study proposes two new techniques for estimating the input function without any blood samples. Methods: The first method proposed in this study is the Simplified Simultaneous Estimation (SSIME), which is based upon the Simultaneous Estimation (SIME) technique, but uses 1-point blood sampling method as the input function model in SSIME in order to simply the simultaneous estimation process. Twenty-three patients were tested with this new approach, and the input functions estimated with SSIME were compared with real input functions deriving from blood samples. In our observations, SSIME method provides improved estimation ability than SIME, although it is restricted by some limitations and only applicable for a group of patients. Therefore, we propose another novel technique that is based on the multiple linear regression analysis. Forty-four patients were included in the development of this new statistic approach. First, we generated the tissue time-activity curves (TTACs) of the gray matter and the whole brain with a segmentation technique for every subject. Summations of different intervals of those two curves were used as a feature vector, including the net injection dose. Multiple linear regression analysis was then applied to find the correlation between the input function and the feature vector. When these regression coefficients were found with a group of patients, they would be used to estimate the input functions for another group of patients, where these estimated input functions were compared to the real ones. After a simulation study with in vivo data was performed to primitively verify the input function estimation ability of this method, 29 patients were then applied for calculating the regression coefficients, which were further used to estimate the input functions of other 15 subjects. Results: For 15 patients with their real and estimated input functions compared, the averaged AUC and CMRGlc error percentage were 12.13±8.85 and 16.60±9.61 respectively. The regression analysis of the CMRGlc values derived from the real and estimated input functions revealed a high correlation with r = 0.913, P<0.0001. Conclusion: The multiple linear regression analysis can be used to find the correlation between the input function and the feature vector. This correlation can be further applied for reliable input function estimation in clinical FDG-PET quantitative analysis.
Nizam, Y., Jamil M. M. Abdul, M. N. H. Mohd, Mansour Youseffi, and Morgan C. T. Denyer. "A novel algorithm for human fall detection using height, velocity and position of the subject from depth maps." 2018. http://hdl.handle.net/10454/16944.
Повний текст джерелаHuman fall detection systems play an important role in our daily life, because falls are the main obstacle for elderly people to live independently and it is also a major health concern due to aging population. Different approaches are used to develop human fall detection systems for elderly and people with special needs. The three basic approaches include some sort of wearable devices, ambient based devices or non-invasive vision-based devices using live cameras. Most of such systems are either based on wearable or ambient sensor which is very often rejected by users due to the high false alarm and difficulties in carrying them during their daily life activities. This paper proposes a fall detection system based on the height, velocity and position of the subject using depth information from Microsoft Kinect sensor. Classification of human fall from other activities of daily life is accomplished using height and velocity of the subject extracted from the depth information. Finally position of the subject is identified for fall confirmation. From the experimental results, the proposed system was able to achieve an average accuracy of 94.81% with sensitivity of 100% and specificity of 93.33%.
Partly sponsored by Center for Graduate Studies. This work is funded under the project titled “Biomechanics computational modeling using depth maps for improvement on gait analysis”. Universiti Tun Hussein Onn Malaysia for provided lab components and GPPS (Project Vot No. U462) sponsor.
Rasmi, C. K. "Rapid light sheet fluorescence microscopy for dynamic imaging of living organisms." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4517.
Повний текст джерелаMencarelli, Lucia. "Non-invasive brain stimulation in humans: from image-guided targeting to clinical application." Doctoral thesis, 2021. http://hdl.handle.net/2158/1238666.
Повний текст джерелаJian, Shih-Ting, and 簡士渟. "Non-invasive portable hyperspectral image system applied for detecting fistula stenosis in hemodialysis patients." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/6w7v92.
Повний текст джерела國立交通大學
影像與生醫光電研究所
103
Arteriovenous fistula is an arterial and venous vascular anastomosis surgery, mainly used in hemodialysis patients. In order to make the process of hemodialysis with good efficiency, we must always maintain and monitor arteriovenous fistula function. 80% or more frequent injections of arteriovenous fistula will develop, which led to the phenomenon of vascular stenosis squeeze generated, stenosis due to blood vessel blockage and can’t be dialysis treatment, there will be life-threatening. In order to maintain arteriovenous fistula blood flow, and attention must always keep monitoring whether the produce vascular stenosis phenomenon between hemodialysis patients and doctors important objective. This study use a non-invasive hyperspectral imaging technology, including the use of charge-coupled display different laser wavelengths. Using Matlab to transform image which format is JPEG into 1024*768 – 8bit matrix in order to be used by Labview for image handling, the goal of this research is to develop and apply particular the principle of hyperspectral imaging for early detection and real-time monitoring the status of narrowing blood vessel, which could increase the quality of clinical care.
茆尚憲. "Development of Non-Invasive Functional Medical Image Inspection System for Human Physiological Body Information." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/69445373129275234682.
Повний текст джерела長庚大學
機械工程研究所
92
The non-invasive inspection method is one of the development direction of the contemporary medicine. And the functional medical image inspection methods aim at specific tissue, organ or disease majority, rather than the invasive inspection method, always use the digital image processing technology to achieve the inspection purpose. This research manipulate the digital image processing as the core technology, and point to some specific messages of the human body such as saliva crystallization, foot bottom pressure and temperature, and discuss these relations with the health. This investigation is divided into three parts: The first part of this research is "Using the Infrared Thermal Image Technology on the degenerative arthritis", it use an infrared thermal image instrument to quantitatively evaluate the patient of the degenerative arthritis in contrast with the normal people at the knees. The clinical experiment of this research is cooperated with the St. Paul`s Hospital, and the patients who are suitable to execute this clinical experiment is selected by the orthopaedic doctor. Use the thermal distribution diagram measured by the infrared thermal image instrument to do the temperature analysis. The thermal image of the tested of their left and right knee was divided into four areas at first, and then compute the average temperatures of each areas, and use the SPSS statistical software by the means of the independent sample t-test and paired t-test, to analyze the temperature difference between the patient of the degenerative arthritis and the normal people, also the difference between the disease leg and normal leg of the degenerative arthritic patient, and the relationship with the pain index. The second part of this research is「The Development of Digital Optical Saliva Crystallization by Functional medical image inspection System」,first of all a pilot study about the relationship between women menstrual cycle and saliva crystal was carried out to clarify the relationship between the pull strings of saliva in women’s mouth and the ovulate period. After confirmed the mechanism that related in this research, the notion designed of hardware and software were done, the model of the hardware were built by using the CAD designing software, then prototype was made and a testing procedure was carried out. In addition, the evaluate system was developed by using Borland C++ Builder software, each functional component of this system was tested and integrated. This digital optical saliva crystallization by functional medical image inspection system was testing on clinical patient. The third part of this research is「The Development of the Bottom Foot Health-Care’s Functional Medical Image Inspection System」,the task of research included investigated against the foot pressure、temperature of foot、temperature of foot and relation between the human health and clinical problem clarification, then the notion designed of hardware and software were carried out, the model of the hardware were built by using the CAD designing software, after prototype was made a testing procedure was carried out. This bottom foot health-care’s functional medical image inspection system also developed by Borland C++ Builder software. Via the image processing technique, the pressure distribution of foot was calculated by math’s transformation formula by the foot contact on ground was scanned with optical scanner and matched up with subject’s body weight. The superficial temperature of foot was acquired by the liquid crystal temperature slab’s characteristic of detect temperature color. After the hardware and software were integrated, the functional testing and clinical testing was carried out. The first part of research about the infrared thermal image technology on the degenerative arthritis, the clinical experiment proved that the superficial temperature difference have positive correlation with the clinical features, so doctor was suggested to use infrared thermal image system as an objective evaluation device on knee degenerative arthritis patient. In the part of the developed digital optical saliva crystallization by functional medical image inspection system, in this research, the image processing analysis technique to establish correlation index and saliva crystallization image database, it may be can provide women a ovulate period inspection device. And the part of the bottom foot health-care’s functional medical image inspection system was developed, due to the multiple function of this system, it can simultaneously evaluated the body weight、the contours of foot bottom、foot pressure and temperature distribution, it will be a multiple health-care device for self evaluate specific message from foot bottom at home.
Khan, Md Monsurul Islam. "Image Based Computational Hemodynamics for Non-Invasive and Patient-Specific Assessment of Arterial Stenosis." Thesis, 2019. http://hdl.handle.net/1805/19906.
Повний текст джерелаWhile computed tomographic angiography (CTA) has emerged as a powerful noninvasive option that allows for direct visualization of arterial stenosis(AS), it cant assess the hemodynamic abnormality caused by an AS. Alternatively, trans-stenotic pressure gradient (TSPG) and fractional flow reserve (FFR) are well-validated hemodynamic indices to assess the ischemic severity of an AS. However, they have significant restriction in practice due to invasiveness and high cost. To fill the gap, a new computational modality, called InVascular has been developed for non-invasive quantification TSPG and/or FFR based on patient's CTA, aiming to quantify the hemodynamic abnormality of the stenosis and help to assess the therapeutic/surgical benefits of treatment for the patient. Such a new capability gives rise to a potential of computation aided diagnostics and therapeutics in a patient-specific environment for ASs, which is expected to contribute to precision planning for cardiovascular disease treatment. InVascular integrates a computational modeling of diseases arteries based on CTA and Doppler ultrasonography data, with cutting-edge Graphic Processing Unit (GPU) parallel-computing technology. Revolutionary fast computing speed enables noninvasive quantification of TSPG and/or FFR for an AS within a clinic permissible time frame. In this work, we focus on the implementation of inlet and outlet boundary condition (BC) based on physiological image date and and 3-element Windkessel model as well as lumped parameter network in volumetric lattice Boltzmann method. The application study in real human coronary and renal arterial system demonstrates the reliability of the in vivo pressure quantification through the comparisons of pressure waves between noninvasive computational and invasive measurement. In addition, parametrization of worsening renal arterial stenosis (RAS) and coronary arterial stenosis (CAS) characterized by volumetric lumen reduction (S) enables establishing the correlation between TSPG/FFR and S, from which the ischemic severity of the AS (mild, moderate, or severe) can be identified. In this study, we quantify TSPG and/or FFR for five patient cases with visualized stenosis in coronary and renal arteries and compare the non-invasive computational results with invasive measurement through catheterization. The ischemic severity of each AS is predicted. The results of this study demonstrate the reliability and clinical applicability of InVascular.
(6911054), Md Monsurul Islam Khan. "Image based Computational Hemodynamics for Non-invasive and Patient-Specific Assessment of Arterial Stenosis." Thesis, 2019.
Знайти повний текст джерелаHussain, Nosheen, Patricia A. Cooper, Steven D. Shnyder, Hassan Ugail, Ali M. Bukar, and David Connah. "A Non-invasive 2D Digital Imaging Method for Detection of Surface Lesions Using Machine Learning." 2017. http://hdl.handle.net/10454/14543.
Повний текст джерелаAs part of the cancer drug development process, evaluation in experimental subcutaneous tumour transplantation models is a key process. This involves implanting tumour material underneath the mouse skin and measuring tumour growth using calipers. This methodology has been proven to have poor reproducibility and accuracy due to observer variation. Furthermore the physical pressure placed on the tumour using calipers is not only distressing for the mouse but could also lead to tumour damage. Non-invasive digital imaging of the tumour would reduce handling stresses and allow volume determination without any potential tumour damage. This is challenging as the tumours sit under the skin and have the same colour pattern as the mouse body making them hard to differentiate in a 2D image. We used the pre-trained convolutional neural network VGG-16 and extracted multiple layers in an attempt to accurately locate the tumour. When using the layer FC7 after RELU activation for extraction, a recognition rate of 89.85% was achieved.
Memarian, Negar. "A Novel Access Technology Based on Infrared Thermography for People with Severe Motor Impairments." Thesis, 2010. http://hdl.handle.net/1807/26299.
Повний текст джерелаGreke, Christian. "Nichtinvasiv neuronavigierte transkranielle Dopplersonographie." Doctoral thesis, 2012. http://hdl.handle.net/11858/00-1735-0000-0006-B314-4.
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