Sökning: "Image reconstruction"
Visar resultat 1 - 5 av 311 avhandlingar innehållade orden Image reconstruction.
1. Evaluation of Regularized Image Reconstruction for Clinical Positron Emission Tomography
Sammanfattning : Positron emission tomography (PET) combined with computed tomography (CT) is a widely used noninvasive molecular imaging modality with a broad range of clinical applications in oncology, neurology, and cardiology. Producing imperative image quality and accurate quantification are important driving forces behind the technological advances within PET image reconstruction and system development. LÄS MER
2. Multidimensional MRI of Cardiac Motion : Acquisition, Reconstruction and Visualization
Sammanfattning : Methods for measuring deformation and motion of the human heart in-vivo are crucial in the assessment of cardiac function. Applications ranging from basic physiological research, through early detection of disease to follow-up studies, all benefit from improved methods of measuring the dynamics of the heart. LÄS MER
3. Filtering and reconstruction in image processing
Sammanfattning : Image processing is a broad field posing a wide range of problems. The Work presented in this dissertation is mainly concerned with filter design subject to different criteria and constraints.The first part describes the development of a new radiographic reconstruction method designated Ectomography. LÄS MER
4. Interactive 3D Image Analysis for Cranio-Maxillofacial Surgery Planning and Orthopedic Applications
Sammanfattning : Modern medical imaging devices are able to generate highly detailed three-dimensional (3D) images of the skeleton. Computerized image processing and analysis methods, combined with real-time volume visualization techniques, can greatly facilitate the interpretation of such images and are increasingly used in surgical planning to aid reconstruction of the skeleton after trauma or disease. LÄS MER
5. Unsupervised Segmentation of Head Tissues from Multi-Modal Magnetic Resonance Images: With Application to EEG Source Localization and Stroke Detection
Sammanfattning : The automated segmentation or labeling of individual tissues in magnetic resonance (MR) images of the human head is an essential first step in several biomedical applications. The resulting segmentation yields a patient-specific labeling of individual tissues that can be used to quantitatively characterize these tissues (e.g. LÄS MER