Biomedical Imaging
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Research topics include image acquisition, registration, reconstruction, multimodality methods, noise filtering and image enhancement, segmentation, classification and feature detection, model and atlas based imaging, as well as system development and acceleration technologies.
Biomedical Imaging is comprised of 40 contributed chapters, which are organized in such a way that researchers, engineers, clinical practitioners and graduate students can easily follow up with relevant topics, and will benefit from reading the views of the domain experts in their fields.
Research topics include image acquisition, registration, reconstruction, multimodality methods, noise filtering and image enhancement, segmentation, classification and feature detection, model and atlas based imaging, as well as system development and acceleration technologies.
Biomedical Imaging is comprised of 40 contributed chapters, which are organized in such a way that researchers, engineers, clinical practitioners and graduate students can easily follow up with relevant topics, and will benefit from reading the views of the domain experts in their fields.
Guest Editors' Comments.- Miniaturized CMOS Imaging Module with Real-time DSP Technology for Endoscope and Laryngoscope Applications.- Resolution Improvement of Scanning Acoustic Microscopy Using Sparse Signal Representation.- Time Efficient DT-MRI Acquisition Parameters for Robust Estimation of Fiber Tracts.- Non-rigid Ultrasound Image Registration Based on Intensity and Local Phase Information.- Adaptive Grid Generation Based Non-rigid Image Registration using Mutual Information for Breast MRI.- Non-Iterative Hierarchical Registration for Medical Images.- Image Reconstruction Scheme Based on Phase Correction and Singularity Function Analysis Model.- Robust Multimodal Registration using Local Phase-Coherence Representations.- Multimodality Image Registration using Spatial Procrustes Analysis and Modified Conditional Entropy.- Image Processing for Fusion Identification between the GLUT4 Storage Vesicles and the Plasma Membrane.- Effective filtration techniques for gallbladder ultrasound images with variable contrast.- Image segmentation and selective smoothing based on variational framework.- Robust B-spline Snakes for Ultrasound Image Segmentation.- Vasculature Segmentation in MRA Images Using Gradient Compensated Geodesic Active Contours.- A Scalable Framework for Segmenting Magnetic Resonance Images.- Image Segmentation using Excess Entropy.- Effect of Number of Coupled Structures on the Segmentation of Brain Structures.- Edge-based Segmentation Using Robust Evolutionary Algorithm Applied to Medical Images.- Automated Protein Distribution Detection in High-throughput Image-based siRNA Library Screens.- Automated Renal Cell Carcinoma Subtype Classification Using Morphological, Textural and Wavelets Based Features.- In vivo short-echo time localized 1H MRS of the rat brain at 7T: influence of two strategies of background-accommodation on the metabolite concentration estimation using QUEST.- Intravascular Ultrasound Tissue Characterization with Sub-class
- 2009, 556 Seiten, Masse: 21,5 x 28,5 cm, Gebunden, Englisch
- Herausgegeben: Feng Lin, Sun-Yuan Kung, Malini Olivo
- Verlag: Springer US
- ISBN-10: 1441911650
- ISBN-13: 9781441911650
- Erscheinungsdatum: 09.09.2009
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