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Preim B., Bartz D. — Visualization in Medicine: Theory, Algorithms, and Applications
Preim B., Bartz D. — Visualization in Medicine: Theory, Algorithms, and Applications



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Íàçâàíèå: Visualization in Medicine: Theory, Algorithms, and Applications

Àâòîðû: 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.

The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding surgical disciplines. The book is based on several years of the authors' teaching and research experience. Both authors have initiated and lead a variety of interdisciplinary projects involving computer scientists and medical doctors, primarily radiologists and surgeons.

* A core field of visualization and graphics missing a dedicated book until now
* Written by pioneers in the field and illustrated in full color
* Covers theory as well as practice


ßçûê: en

Ðóáðèêà: Ìåäèöèíà è çäðàâîîõðàíåíèå/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 2007

Êîëè÷åñòâî ñòðàíèö: 680

Äîáàâëåíà â êàòàëîã: 30.12.2007

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Data volumes, resampling      25
Data-driven TF specification      263—266
Decomposition rules      542
Deformable models      109
Depth shading      150—151
Device-oriented color spaces      31
Diagnosis with 3D visualizations      77—80
Diagnosis, computerized medical imaging      4
Diagnosis, coronary vessels      377
Diagnosis, DTI      463—464
Diagnosis, film-based      67—69
Diagnosis, vascular disease      374
Diagnosis, vascular tree      375
Diagnosis, vessel visualization for      374—377
Diagnostic procedures      26
DICOM      65—67
DICOM, data structure      66—67
DICOM, defined      65
DICOM, scope      65—66
DICOM, tags      66
Diffuse reflection      146
Diffusion filtering      92
Diffusion tensor imaging (DTI)      9 55—56 341 455—495
Diffusion tensor imaging (DTI), advanced interpolation methods      465—466
Diffusion tensor imaging (DTI), amount of diffusion      455
Diffusion tensor imaging (DTI), classic interpolation methods      465
Diffusion tensor imaging (DTI), clinical applications      463—464
Diffusion tensor imaging (DTI), data      455 461
Diffusion tensor imaging (DTI), data analysis pipeline      457
Diffusion tensor imaging (DTI), data filtering      466—467
Diffusion tensor imaging (DTI), data interpolation      465—466
Diffusion tensor imaging (DTI), data software tools      493
Diffusion tensor imaging (DTI), defined      455
Diffusion tensor imaging (DTI), diagnostic value      463—464
Diffusion tensor imaging (DTI), diffusion tensor calculation      461—462
Diffusion tensor imaging (DTI), direct volume rendering      478
Diffusion tensor imaging (DTI), echo-planar imaging (EPI)      463
Diffusion tensor imaging (DTI), eigenanalysis      456
Diffusion tensor imaging (DTI), image acquisition      458—463
Diffusion tensor imaging (DTI), intraoperative use      464
Diffusion tensor imaging (DTI), line scan diffusion imaging (LSDI)      463
Diffusion tensor imaging (DTI), medical background      457—464
Diffusion tensor imaging (DTI), neuroanatomy and      458
Diffusion tensor imaging (DTI), outlook      494
Diffusion tensor imaging (DTI), quality      462—463
Diffusion tensor imaging (DTI), resolution      462—463
Diffusion tensor imaging (DTI), slice-based visualizations      470—473
Diffusion tensor imaging (DTI), summary      493—494
Diffusion tensor imaging (DTI), surgery planning      464
Diffusion tensor imaging (DTI), techniques      463
Diffusion tensor imaging (DTI), tensors      456
Diffusion tensors      480
Diffusion tensors, anisotropy metrics      467—469
Diffusion tensors, calculation      461—462
Diffusion tensors, coherence metrics      469
Diffusion tensors, diffusivity metrics      467
Diffusion tensors, fields, DVR of      477
Diffusion tensors, quantitative characterization      467—470
Diffusion-weighted MR imaging (DWI)      458 460—461
Diffusion-weighted MR imaging (DWI), diffusion measurement      460
Diffusion-weighted MR imaging (DWI), diffusion weighting factor      461
Diffusivity, color-coding      470
Diffusivity, metrics      467
Digital Anatomist      547—549
Digital hanging protocol      76
Digital mammography      38
Digital subtraction angiography (DSA)      39—40
Digital subtraction angiography (DSA), defined      39
Digital subtraction angiography (DSA), illustrated      40 (see also “X-ray imaging”)
Dijkstra algorithm      105
Direct neighborhood      17
Direct volume rendering (DVR)      7 135 183—196 434
Direct volume rendering (DVR) of diffusion tensor fields      477
Direct volume rendering (DVR) of segmented volume data      221—222
Direct volume rendering (DVR), absorption      184—185
Direct volume rendering (DVR), aliasing      217
Direct volume rendering (DVR), bony structures      376
Direct volume rendering (DVR), compositing      189—195
Direct volume rendering (DVR), defined      183
Direct volume rendering (DVR), depiction      183
Direct volume rendering (DVR), emission      184
Direct volume rendering (DVR), equation      185—186
Direct volume rendering (DVR), Fourier domain      220—221
Direct volume rendering (DVR), hardware      221
Direct volume rendering (DVR), hybrid      225
Direct volume rendering (DVR), pipeline      187—189
Direct volume rendering (DVR), summary      195
Direct volume rendering (DVR), theoretical models      183—186
Direct volume rendering (DVR), vascular visualization      343
Direct volume rendering (DVR), virtual endoscopy      385
Direct volume rendering (DVR), when to use      235 (see also “Volume visualization”)
Direct volume visualization algorithms      197—235
Direct volume visualization algorithms, ray casting      197—203
Direct volume visualization algorithms, shear warp      203—206
Direct volume visualization algorithms, splatting      206—212
Direct volume visualization algorithms, texture-mapping      212—219
Direct volume visualization algorithms, validation      228—235
Directional information, color-coding      470—471
Directional information, color/transparency combination      471
Discrete color scales      33
Discussion and clinical evaluation (DCE) MRI      252—253
Distance lines      317—319
Distance lines, behavior      317—319
Distance lines, geometry      317
Distance lines, illustrated      318
Distance lines, rubberbanding      318
Distance measurements      317—321
Distance measurements, boxplots      368
Distance measurements, interactive rulers      319—320
Distance measurements, lines      317—319
Distance measurements, minimal computation      329—335
Distance measurements, path      320—321
Distance measurements, validation      319
Distance measurements, virtual endoscopy      318
Distance-based transfer functions      280—286
Distance-based transfer functions for CT thorax diagnostics      282—284
Distance-based transfer functions for tumor surgery planning      284—285 (see also “Transfer functions”)
Distance-based transfer functions, applications      282—285
Distance-based transfer functions, distance calculation/storage      281—282
Distance-based transfer functions, metrics      281
Distance-based transfer functions, motivation      280
Distance-based transfer functions, rendering pipeline      280
Dividing Cubes      168
Dynamic contrast enhanced (DCE) images      238
Dynamic emphasis      446—447
Dynamic image data      237—257
Dynamic image data, advanced visualization techniques      244—248
Dynamic image data, brain perfusion case study      253—256
Dynamic image data, hanging protocols      255—256
Dynamic image data, medical background      238—240
Dynamic image data, morphology integration      248
Dynamic image data, parameters      240
Dynamic image data, processing      242—244
Dynamic image data, summary      256
Dynamic image data, tumor perfusion case study      248—253
Dynamic image data, visualization techniques      241—242 (see also “Medical volume data”)
Dynamic noise reduction filters      91—92
Dynamic SPECT (dSPECT)      62
Echo-planar imaging (EPI)      463
Eigenvalues      456
Eigenvectors      456 472
Electromagnetic tracking      407—408
Ellipsoidal tensor glyphs      474 476
emission      184
Emphasis in 2D slices      448
Emphasis with arrows      441—442
Emphasis with color      440
Emphasis with hybrid visualizations      435—439
Emphasis with shadow volumes      442—443
Emphasis, applications      450—451
Emphasis, contrasts      445—446
Emphasis, cutaway views      443—445
Emphasis, dynamic      446
Emphasis, focusing with      420
Emphasis, ghost views      443—445
Emphasis, global      419—420 443—446
Emphasis, illustrative rendering and      422—423
Emphasis, local      419—420 440—443
Emphasis, regional      419—420 443—446
Emphasis, summary      551—552
Emphasis, synchronized      447—449
Emphasis, technique classification      449—451
Endoscopes      381
Endoscopes, calibrated mixed reality      415—416
Endoscopes, fiber optic      381
Endoscopic surgery simulation      562
Enhancement curves      255
Error, visualization      370—371
Euclidean distance      126 299
Explicit surface reconstruction      352—357
Explicit surface reconstruction, defined      352
Explicit surface reconstruction, parametric surfaces      353
Explicit surface reconstruction, subdivision surfaces      355—357
Explicit surface reconstruction, truncated cones      353—355 (see also “Vessel visualization”)
Exploration      372—374
External label placement      531—535
Extracellular space (ECS)      244
Extrema graph      171
Fast marching methods      111
Feature lines from polygonal models      423—426
Feature lines, data structures for      426
Fiber bundles, illustrated      491
Fiber bundles, quantification      489—492
Fiber bundles, visualization      490—491 (see also “Clustering”)
Fiber tracts, clustering      486—492
Fiber tracts, extraction      477
Fiber tracts, hyperstreamlines      483—486
Fiber tracts, modeling      477—486
Fiber tracts, streamlines      478—483
Fibertracking      480 482
Film-based diagnosis      67—69
Film-based diagnosis, radiologist/radiology technician cooperation      67—68
Film-based diagnosis, tasks      68—69 (see also “Diagnosis”)
Filtering at boundaries      92—93
Filtering, diffusion      92
Filtering, DTI data      466—467
Filtering, dynamic      91—92
Filtering, gradient      93—94
Filtering, livewire segmentation and      109
Filtering, multiresolution      93
Filtering, static      89—91
First Hit      190
Fluoroscopy      38
Focus objects (FO)      435 438
Fourier domain volume rendering      220—221
Free navigation      386
Frequency domain      18
Functional anisotropy      469
Functional MRI (fMRI)      54—55
Functional MRI (fMRI), activation patterns      55
Functional MRI (fMRI), data      54—55
Functional MRI (fMRI), data illustration      55
Functional MRI (fMRI), defined      54
Functional MRI (fMRI), PET and      61
Functional MRI (fMRI), SPM      55 (see also “Magnetic resonance imaging (MRI)”)
Functional regions (FR)      459
Fusion      130
Gabor patches      471—473
Gabor patches, defined      472
Gabor patches, illustrated      473
Gaussian filter      21
Geodesic distance      299
Geometry culling      173—175
Geometry culling, backface      173
Geometry culling, defined      173
Geometry culling, occlusion      174
Geometry culling, view-frustum      173—174
Geometry-based similarity      128
Ghost views      443—445
Ghost views, illustrated      444
Ghost views, realization      444
Gouraud shading      220 430
Gradient estimators      148—152
Gradient estimators, central difference      148—149
Gradient estimators, intermediate difference      149—150
Gradient estimators, quality of      151—152
Gradient estimators, Sobel operator      150
Gradient filtering      93—94
Gradient-based transfer functions      275—280
Gradient-based transfer functions, automatic arc determination      278
Gradient-based transfer functions, gradient estimation/storage      275—276
Gradient-based transfer functions, gradient magnitude/intensity histograms      277
Gradient-based transfer functions, half-elliptical arcs      278
Gradient-based transfer functions, reference      278—280
Gradient-based transfer functions, user interfaces      276—280 (see also “Transfer functions”)
Graph analysis      350
Gray value perception      27—30
Gray value perception, contrast      29—30
Gray value perception, just-noticeable difference (JND)      28—29
Gray value perception, spatial resolution      29
Gray-level transfer functions      144—145
Grids, irregular      274
Grids, points, translating      302
Grids, rectilinear      274—275
Grids, regular      274
Grids, uniform      14
Grids, voxel      159
Guided navigation      386—387
Half-tone shading      431—432
Hanging protocols      255—256
Haptic feedback      555 560—561
Haptic feedback, basis      561
Haptic feedback, rendering      561
Haptic feedback, tactile input devices      561
Hatching surface models      426—427
Hatching volume models      429—430
Hausdorff distance      126 232 488
Hepatic artery      501—502 513
Hepatic surgery simulator      562—563
HepaVision      516 517
Hierarchical clustering      488—489
Hierarchical occlusion map (HOM)      202
Histograms      87—88 139—142
Histograms, analysis      87
Histograms, computation      140
Histograms, defined      139
Histograms, equalization      88
Histograms, gradient magnitude/intensity      277
Histograms, linear      139
Histograms, local      263
Histograms, logarithmic      140—141
Histograms, TF transform according to      267
Histograms, zoomed      140
Hounsfield units      47—48
Hybrid visualizations      434—439
Hybrid visualizations for multiple objects      438
Hybrid visualizations with object-based methods      434—435 (see also “Visualizations”)
Hybrid visualizations, default values      436—439
Hybrid visualizations, emphasis with      435—439
Hybrid volume rendering      223—228
Hybrid volume rendering, adaptive supersampling      226—227
Hybrid volume rendering, direct      225
Hybrid volume rendering, indirect      225
Hybrid volume rendering, motivations      223—224
Hybrid volume rendering, polygon-volume interactions      224—226
Hybrid volume rendering, two-level      227—229 (see also “Volume rendering”)
Hyperstreamlines      483—486
Hyperstreamlines, defined      483
Hyperstreamlines, multimodal visualization      484—485
Hyperstreamlines, streamsurfaces      484 (see also “Streamlines”)
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