Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 120 for “"medical images"”.
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Alignment of contrast enhanced medical images
The re-alignment of series of medical images in which there are multiple contrast variations is difficult. The reason for this is that the popularmeasures of image similarity used to drive the alignment procedure do not separate the influence of intensity variation due to image feature motion and …
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Segmentation of medical images under topological constraints
Major advances in the field of medical imaging over the past two decades have provided physicians with powerful, non-invasive techniques to probe the structure, function, and pathology of the human body. This increasingly vast and detailed amount of information constitutes a great challenge for the …
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Compact representations for fast nonrigid registration of medical images
… techniques for the non-rigid registration of medical images by using representations that adapt to the anatomy found in such images. Images of anatomical structures typically have uniform intensity interiors and smooth boundaries. We create methods to represent such regions compactly using …
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Visual Exploration And Information Analytics Of High-Dimensional Medical Images
… the role of visualization within the context of medical image analysis in the field of neuroimaging. The analysis of brain images has uncovered amazing traits about its underlying dynamics. Multiple image modalities capture qualitatively different internal brain mechanisms and abstract it within …
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Data mining system for tree and network structures in medical images
Ανατομικές δομές με δενδρική τοπολογία απαντώνται συχνά στο ανθρώπινο σώμα και οπτικοποιούνται σε ιατρικές εικόνες χρησιμοποιώντας απεικονιστικές τεχνικές με ακτίνες-χ και τη χρήση σκιαγραφικού υλικού. Χαρακτηριστικά παραδείγματα τέτοιων δομών είναι το βρογχικό δένδρο εντός των πνευμόνων το οποίο …
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Modelling grey-level intensities for smart phones to view medical images
… intensities for mobile phones in order to view medical images in greyscale using different mobile phones. While medical image format of DICOM employs a Greyscale Standard Display Function (GSDF) that describes the relationship between luminance level and display intensity values, medical images …
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Machine Learning and its Application in Automatic Change Detection in Medical Images
… such as image surveillance, remote sensing, medical imaging, etc. The challenge of change detection in medical images is to detect disease-related changes while rejecting changes caused by noise, patient position change, and imaging acquisition artifacts such as field inhomogeneity. In this …
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ESTIMATING PERFUSION AND VASCULAR PROPERTIES FROM MEDICAL IMAGES: QUANTITATIVE TRANSPORT MAPPING (QTM)
… Under this circumstance, contrast enhanced medical imaging techniques were developed, where contrast agents are injected into human body (alternatively, spin labeled water molecule can also work as contrast agent), and then images are acquired while contrast agent travels through the region …
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Automated analysis of digital medical images in cervical cancer screening: A systematic review
Background Cervical cancer is the second highest cause of mortalities in women living in resource-constrained countries compared to those living in high income countries, due to lack of organized population screening. Cervical cancer screening is the best way to detect lesions and remove them …
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An interactive color pre-processing method to improve tumor segmentation in digital medical images
<p>In the last few decades the medical imaging field has grown considerably, and new techniques such as computerized axial tomography (CAT) and Magnetic Resonance Imaging (MRI) are able to obtain medical images in noninvasive ways. These new technologies have opened the medical field, offering …
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Leveraging Modelling and Machine Learning for the Analysis of Curvilinear Structures in Medical Images
… by our clinical collaborators at MEEI, Harvard Medical School, USA), neurites (2 benchmark data sets) and retinal blood vessels (2 benchmark data sets). The tortuosity estimation module has been validated on a data set including 140 corneal nerve images, the largest ever used for this task, to …
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Does Every Picture Tell a Story? The Use of Medical Images for Patient Education
… has shown that visual aids can enhance verbal medical information. However, from the literature, it is unclear what type of visual aid is the most effective. Medical images can be a promising vehicle for health communication: several studies have reported that feedback of medical images …
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Semi-Supervised Transfer Learning for medical images as an alternative to ImageNet Transfer Learning
… labelled training data. Consequently, even in medical imaging, transfer learning from natural image datasets (such as ImageNet) has become the norm. However, this approach has been shown to be ineffective due to the significant differences between medical images and natural images. Developing a …
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A unified information theoretic framework for pair- and group-wise registration of medical images
The field of medical image analysis has been rapidly growing for the past two decades. Besides a significant growth in computational power, scanner performance, and storage facilities, this acceleration is partially due to an unprecedented increase in the amount of data sets accessible for …
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Towards a framework for multi class statistical modelling of shape, intensity and kinematics in medical images
… of morphological variation of bone structures in medical images. For radiological images, the shape, relative pose between the bone structures and the intensity distribution are key features often modelled separately. A wide range of research has reported methods that incorporate these features as …
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Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images
… of morphological variation of bone structures in medical images. For radiological images, the shape, relative pose between the bone structures and the intensity distribution are key features often modelled separately. A wide range of research has reported methods that incorporate these features as …
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Development and Clinical Application of Techniques for the Image Processing and Registration of Serially Acquired Medical Images
… compare regions of interest (ROIs) on different images of the same patient. This comparison is often made difficult when the scanned tissue volume is not in exactly the same three dimensional location each time. Registration, the accurate alignment of the images through the determination of a …
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DEVELOPMENT OF SPACE-INVARIANT SIGNATURE ALGORITHM (SISA) - AN INNOVATIVE APPROACH FOR PROCESSING THE MEDICAL IMAGES FOR THE DETECTION AND LOCALIZATION OF EARLY ABNORMALITIES IN BIOLOGICAL TISSUES
… are some of the important issues facing the medical profession for diseases such as cancer and cardiac disorders. Therefore, it is vital that a reliable approach, which is economic, safer and less time consuming be developed for the detection and diagnosis of such disorders. In this thesis an …
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