TAILIEUCHUNG - Ebook Handbook of medical imaging: Part 2

(BQ) Part 2 book "Handbook of medical imaging" presents the following contents: Registration, visualization, compression storage and communication, visualization pathways in biomedicine, spatial transformation models, registration for image guided surgery, morphometric methods for virtual endoscopy, | IV Registration 26 Physical Basis of Spatial Distortions in Magnetic Resonance Images Peter Jezzard. 425 27 Physical and Biological Bases of Spatial Distortions in Positron Emission Tomography Images Magnus Dahlbom and Sung-Cheng Henry Huang . 439 28 Biological Underpinnings of Anatomic Consistency and Variability in the Human Brain N Tzourio-Mazoyer F. Crivello M. Joliot and B. 29 Spatial Transformation Models Roger p. Woods. 465 30 Validation of Registration Accuracy Roger p. Woods. 491 31 Landmark-Based Registration Using Features Identified Through Differential Geometry Xavier Pennec Nicholas Ayache and Jean-Philippe Thirion. 499 32 Image Registration Using Chamfer Matching Marcel Van Herk. 515 33 Within-Modality Registration Using Intensity-Based Cost Functions Roger p. Woods. . . . . 529 34 Across-Modality Registration Using Intensity-Based Cost Functions Derek . Hill and David J. Hawkes. 537 35 Talairach Space as a Tool for Inlersubjecl Standardization in the Brain Jack L. Lancaster and Peter T. Fox. . 555 36 Warping Strategies for Intersubject Registration Paul M. Thompson and Arthur w Toga. . 569 37 Optimizing the Resampling of Registered Images William F. Eddy and Terence K. Young. . 603 38 Clinical Applications of Image Registration Robert Knowlton. 613 39 Registration for Image-Guided Surgery Eric Grimson and Ron Kikinis. 623 40 Image Registration and the Construction of Multidimensional Brain Atlases Arthur w Toga and Paul M. Thompson. 635 Roger p. Woods UCLA School of Medicine The goal of image registration is to determine a spatial transformation that will bring homologous points in images being registered into correspondence. In the simplest cases the mathematical form of the desired spatial transformation can be limited by simple physical principles. For example when registering images acquired from the same subject it is often possible to assume that the body part being imaged can be treated as a rigid body which leads to a highly .

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• Handbook of medical imaging
• Compression storage and communication
• Visualization pathways in biomedicine
• Spatial transformation models
• Registration for image guided surgery
• Morphometric methods for virtual endoscopy
• Fundamental enhancement techniques
• Adaptive image filtering
• Enhancement by multiscale nonlinear operators
• Volumetric segmentation
• Arterial Tree Morphometry
• Medical Imaging
• Radiographic Films
• Radiographic Noise
• Noise Contrast
• Autoradiographic Methods
• X Ray Imaging Systems
• The biomedical engineering handbook
• Medical devices
• Advanced thermal image processing
• Functional infrared imaging
• Detector arrays
• Infrared detectors
• Digital biomedical signal acquisition
• Biomedical signal processing
• Computed tomography
• Magnetic resonance imaging
• Medical Image Registration
• Segmentation
• Temporal Retinal Image
• Mutual Information Maximization
• Brain Aneurysm Dimensions
• Medical Imaging Modalities
• medical books
• pharmacology
• epidemiologic
• Obstetrics
• anatomy
• Preventing Morbidity
• Multidisciplinary Care
• Clinical psychiatry
• Psychiatric history
• Mental status examination
• Major neurocognitive disorders
• Brain imaging
• Medical assessment
• Endometriosis
• Role of Ultrasound
• MRI and Other Imaging
• Oxidative Stress
• Diagnosis and Treatment
• Current Insights