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Preim B., Bartz D. — Visualization in Medicine: Theory, Algorithms, and Applications
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Íàçâàíèå: Visualization in Medicine: Theory, Algorithms, and ApplicationsÀâòîðû: Preim B., Bartz D. Àííîòàöèÿ: Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems.
ßçûê: Ðóáðèêà: Ìåäèöèíà è çäðàâîîõðàíåíèå /Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö ed2k: ed2k stats Ãîä èçäàíèÿ: 2007Êîëè÷åñòâî ñòðàíèö: 680Äîáàâëåíà â êàòàëîã: 30.12.2007Îïåðàöèè: Ïîëîæèòü íà ïîëêó |
Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
Ïðåäìåòíûé óêàçàòåëü
89 90 26-neighborhood 17 2D component functions 272—274 2D component functions, color and opacity specification 274 2D component functions, interval selection 272 2D component functions, templates 272—273 2D visualization 6—7 3D interaction 259—260 3D ultrasound 59 3D visualization 6—7 3D visualization, 3D interaction 79—80 3D visualization, based on row segmentation 122 3D visualization, diagnosis with 77—80 3D visualization, interactive manipulations 259 3D visualization, maximum intensity projection 77 3D visualization, multiplanar reformatting 78 3D visualization, summary 80—81 3D visualization, surface shaded display (SSD) 77—78 3D visualization, ultrasound data 91 3D visualization, virtual endoscopy 78—79 3D visualization, volume rendering 78 (see also “Visualizations”) 3D widgets 315 3D widgets, distance lines 317—319 3D widgets, outlook 338 3D widgets, rulers 319—320 6-neighborhood 17 Absorption 184—185 Active appearance models (AAMs) 114—115 Active appearance models (AAMs), defined 114—115 Active appearance models (AAMs), summary 115 Active contour models 109—111 Active contour models, 3D extension 110—111 Active contour models, problem 111 Active shape models (ASMs) 111—114 559 Active shape models (ASMs), allowable shape domain 112 Active shape models (ASMs), applications 113—114 Active shape models (ASMs), defined 111 Active shape models (ASMs), model fitting 113 Active shape models (ASMs), requirements 113 Active shape models (ASMs), variability 114 Adaptive propagation 107—108 Adaptive ray sampling 200 Adaptive supersampling 226—227 Additive Gaussian noise 234 Adhesio interthalamica 393 Algebraic reconstruction techniques (ART) 43 Aliasing 19—21 Aliasing in direct volume rendering 217 Aliasing visual result 19 Ambient light 146 Amira 367 579—580 Anatomic tree structures, examples 371—372 Anatomic tree structures, performance measurements 374 Anatomic tree structures, small 353 Anatomic tree structures, summary 377—378 Anatomic tree structures, validation and evaluation 365—371 Anatomic tree structures, vessel analysis 345—350 Anatomic tree structures, visualization 343—379 Anatomy education 546—552 Anatomy education, AnatomyBrowser 549 Anatomy education, Digital Anatomist 547—549 Anatomy education, VoxelMan 547 Anatomy education, ZoomIllustrator 549—552 (see also “Medical education”) AnatomyBrowser 549 Angiogenesis 249 Angiography, defined 39 Angiography, digital subtraction (DSA) 39 40 Angiography, MRI 53 Angiography, phase-contrast (PCA) 53 Angioscopy of cerebral blood vessels 397—399 Angioscopy of coronary blood vessels 399—400 Angular measurements 321—323 Angular measurements in CT data 323 Angular measurements, behavior 322 Angular measurements, geometry 321—322 Angular measurements, orthopedic applications 323 Angular measurements, view coupling 322 animations 541—545 Animations for anatomy and surgery education 542—544 Animations, author specification 541 Animations, changing object focus with 545 Animations, interactive control 545 Animations, manual specification 541 Animations, script-based specification 542—545 Anisotropic dataset 400 Anisotropic interpolation 466 Anisotropy, color-coding 470 Anisotropy, functional 469 Anisotropy, metrics 467—469 Annotation 76 Apparent diffusion coefficient (ADC) 461 Area measurements 323—324 Area under the curve (AUC) 27 Arrows, emphasis with 441—442 Artifacts 17—26 Artifacts, bilinear slice interpolation 216 Artifacts, binary segmentation block 23 Artifacts, bricking 218 Artifacts, CT 25 Artifacts, interpolation 22—25 Artifacts, Moire 19—20 Artifacts, MR image 54 Artifacts, partial volume effects 21—22 Artifacts, signal 25—26 Artifacts, staircasing 23 24 ARToolkit 413—414 Automatic labeling 531 Automatic navigation 385 Axis-aligned bounding box (AABB) 171—172 331 336 363 Backface culling 173 Band-limited signals 21 Bilateral mesh denoising 177 Bilinear interpolation 16 Bivariate color scales 33 Blending 360—361 Blending, strength 361 Blending, strength at branchings 360 Blending, unwanted 360 Boundary model 264—265 Bounding cylinders 172 Bounding spheres 172 Bounding volumes 171—173 Bounding volumes, axis-aligned bounding box (AABB) 171—172 331 336 363 Bounding volumes, bounding cylinders 172 Bounding volumes, bounding spheres 172 Bounding volumes, convex hull 172 Bounding volumes, k-dimensional orientation polytope (k-DOP) 172—173 Bounding volumes, oriented bounding box (OBB) 172 299 336 Box clipping 294 295 Brain perfusion 240 253—256 Brain perfusion, computer support 255 Brain perfusion, imaging 254 Brain perfusion, visualization techniques 255—256 Branch-on-need-octrees (BONO) 169—170 Branching, blending strength at 360 Branching, labeling 537—539 Branching, transitions at 363 Branching, undesired effects 349 Bricking artifacts 218 BSP-trees 169 Bulging 361 Cache-sensitive memory, management 202—203 Calibrated mixed reality endoscope 415—416 Catmull — Clark subdivision 356 Cell projection 220 Center of gravity (COG) 336 447 Central difference operator 148—149 Central nervous system (CNS) 391 Cerebral aneurysms 398 Cerebral ventricular system 328 391—394 Cerebrospinal fluid (CSF) 391 Choroid plexus 393 Clinical anatomy 528 Clinical surgery, basis 552 Clinical surgery, CBT systems for studying 553 Clipping 291—294 Clipping, box 294 295 Clipping, planes 291—292 Clipping, planes, tilting 292 Clipping, selective 293—294 Clipping, uses 291 Closest vessel projection (CVP) 192—193 252 Clustering 486—492 Clustering, algorithms 488—489 Clustering, features 493 Clustering, fiber tracts 486—492 Clustering, hierarchical 488—489 Clustering, motivation 487 Clustering, partitional 489 Clustering, proximity metrics 487—488 Clustering, uses 489 Clustering, validation 492 (see also “Fiber tracts”) Coherence metrics 469 collimation 46 Collision detection 307 560 Collision detection, deformable object 560 Collision detection, hierarchical data structures for 560 Collision detection, rigid body 560 Color perception 30—33 Color scales 32—33 Color scales for encoding scalar values 32 Color scales, bivariate 33 Color scales, discrete 33 Color scales, trivariate 33 color spaces 31 Color spaces, defined 31 Color spaces, device-oriented 31 Color spaces, intuitive 31 Color spaces, perceptually uniform 31—32 Color transfer functions 144—145 Color-coded visualization 368 Color-coding, anisotropy 470 Color-coding, diffusivity 470 Color-coding, directional information 470—471 Comparative anatomy 528 Complete neighborhood 17 Composting 187 189—195 Composting, accuracy issues 189 Composting, defined 187 Composting, operator 189 Composting, variations 190—193 Computed tomography (CT) 4 41—48 Computed tomography (CT), brain perfusion 254 Computed tomography (CT), contrast-enhancement 47 Computed tomography (CT), data generation principle 42—45 Computed tomography (CT), datasets 45 Computed tomography (CT), defined 41 Computed tomography (CT), fan beam methods 44 Computed tomography (CT), flat panel detector 45 Computed tomography (CT), helical 43 Computed tomography (CT), Hounsfield units 47—48 Computed tomography (CT), localization of anatomical structures 41 Computed tomography (CT), lung parenchyma identification 390 Computed tomography (CT), MRI versus 56—57 Computed tomography (CT), multislice example 43 Computed tomography (CT), new devices 45 Computed tomography (CT), quantitative measurements 41 Computed tomography (CT), radiation dose 46 Computed tomography (CT), reconstruction filters 44 Computed tomography (CT), scanners 43 45 Computed tomography (CT), scanning parameters 45—47 Computed tomography (CT), sensitivity 41 Computed tomography (CT), slice of abdominal dataset 91 Computed tomography (CT), slice with additional information 67 Computed tomography (CT), slices 46 Computed tomography (CT), spiral 43 Computed tomography (CT), standardization 47—48 Computed tomography (CT), summary 63 Computed tomography (CT), thorax diagnostics 282—284 Computed tomography (CT), tilted dataset 46 Computed tomography (CT), X-ray imaging versus 41—42 Computer-aided detection (CAD) 376—377 Computer-based training (CBT) 525 526 Computer-based training (CBT) for clinical surgery study 553 Computer-based training (CBT) for comparative anatomy 528 Computer-based training (CBT) for operative techniques study 562—566 Computer-based training (CBT), basics 545—546 Computer-based training (CBT), rules of thumb 545 Computer-based training (CBT), successful 546 Computerized medical imaging 2—6 Computerized medical imaging, diagnosis 4 Computerized medical imaging, educational purposes 3—4 Computerized medical imaging, intraoperative support 4 Computerized medical imaging, treatment planning 4 cones 30 Connected component analysis (CCA) 98 Consequences 361 Constrained elastic surface nets 178—179 Container objects (CAO) 435 439 Context objects (CO) 435 Context-preserving volume rendering 429 Contour tracing 158 Contrast-enhanced CT scans 47 Contrasts for emphasis 445—446 Contrasts, darkness 445 Contrasts, perception 29—30 Contrasts, saturation 445 Convex hull 172 Convolution surfaces 358—360 Convolution surfaces, bulging and 359 Convolution surfaces, computational complexity 362—364 Convolution surfaces, filter modification 361—362 Convolution surfaces, filter selection 359—360 Convolution surfaces, geometric model construction 364—365 Convolution surfaces, radius representation 360 Convolution surfaces, visualization with 361—365 Cool-to-warm tone shading 432—433 Cool-to-warm tone shading, discrete 433 Cool-to-warm tone shading, illustrated 432 Coronary blood vessels, angioscopy of 399—400 Coronary blood vessels, noninvasive assessment 400 Corrected normals 24 Cross-sectional anatomy 528 Crossings 467 CT artifacts 25 Cuberille voxel representation 158—159 Cuberille voxel representation, defined 158 Cuberille voxel representation, illustrated 159 Currently selected object (CSO) 419 Curved planar reformation (CPR) 156 Cut surfaces, high-quality representation 308—310 Cut surfaces, resolution 308 Cutaway views 423 443—445 Cutaway views, cut region shape 443 Cutaway views, illustrated 446 Cutaway views, realization 444 Cutting plane, boundaries, defining 298 Cutting plane, cut path definition 298 Cutting plane, initial, generation of 298—302 Cutting plane, orientation and extent 300 Cutting plane, virtual resection with 297—307 Cylindrical bounding volume (CBV) 362 Darkness contrast 445 Data processing 242—244 Data processing, fitting pharmacokinetic models 243—244 Data processing, image registration 242—243 Data processing, model fitting 243 Data processing, segmentation 243 Data processing, signal intensities calibration 243 Data processing, temporal denoising 243
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