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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 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
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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
Ïðåäìåòíûé óêàçàòåëü
IDL 586
Illumination in scalar volume datasets 145—152
Illumination, approximation of normal vectors 148—152
Illumination, Phong model 146—148
Illustrative rendering 419—439
Illustrative rendering of medical volume data 427—429
Illustrative rendering, degrees of freedom 422
Illustrative rendering, emphasis and 422—423
Illustrative rendering, hatching surface models 426—427
Illustrative rendering, outlook 451—452
Illustrative rendering, shape perception 421—422
Illustrative rendering, style specification 433—434
Illustrative rendering, surface 420—433
Illustrative rendering, volume 433—434
Illustrative shading styles 430—433
Image analysis 83—133
Image analysis, accuracy 84
Image analysis, gradient filtering 93—94
Image analysis, histograms 87—88
Image analysis, inhomogeneity correction 93
Image analysis, interaction techniques 116—118
Image analysis, liver surgery planning 505—508
Image analysis, morphological 119—120
Image analysis, noise reduction techniques 88—93
Image analysis, pipeline illustration 84
Image analysis, pipeline steps 83
Image analysis, quantitative 69
Image analysis, registration and fusion 126—131
Image analysis, reproducibility 84—85
Image analysis, requirements 84—85
Image analysis, resampling 86—87
Image analysis, robustness 84
Image analysis, ROI selection 85—86
Image analysis, segmentation postprocessing 119—122
Image analysis, skeletonization 122—124
Image analysis, speed 85
Image analysis, structure enhancement 94—95
Image analysis, summary 131
Image analysis, validation 124—126
Image-driven TF specification 267—270
Image-driven TF specification by means of component functions 269—270
Image-driven TF specification with thumbnail images 270
Image-driven TF specification, defined 267
Image-guided surgery 407—411
Image-guided surgery, appropriate dataset 403
Image-guided surgery, movements 404
Image-guided surgery, navigation instruments 409—411
Image-guided surgery, prerequisites 403—407
Image-guided surgery, registration 405—407
Image-guided surgery, setups 403
Image-guided surgery, summary 416—417
Image-guided surgery, time between acquisition 404
Image-guided surgery, tissue deformation 404
Image-guided surgery, tracking systems 407—409
Implicit polygonizer 364
Implicit segmentation 262
Implicit surface reconstruction 357—361
Implicit surface reconstruction, blending 360—361
Implicit surface reconstruction, defined 352
Implicit surface reconstruction, introduction 358 (see also “Vessel visualization”)
Implicit surfaces 358
Importance-driven volume rendering 444—445
Indirect volume rendering 135
Indirect volume rendering, hybrid 225
Indirect volume rendering, plane-based 155—156
Indirect volume rendering, summary 180—182
Indirect volume rendering, surface postprocessing 173—180
Indirect volume rendering, surface-based 156—173
Indirect volume rendering, virtual endoscopy 384—385
Indirect volume rendering, when to use 235 (see also “Volume visualization”)
Infiltrating balloon segmentation 110
Inhomogeneity correction 93
Inner intervals 325
insets 440
Intensity-based similarity 128
Interaction sticker 415 416
Interaction techniques 116—118
Interaction techniques for growing region 117—118
Interaction techniques for livewire 118
Interaction techniques for watershed segmentation 118
Interactive area measurements 323—324
Interactive labeling 531
Interactive manipulations 259
Interactive resection 308
Interactive rulers 319—320
Interactive rulers, behavior 320
Interactive rulers, geometry 319—320
Interactive volume measurements 324—329
Intermediate difference operator 149—150
Internal label placement 535—541
Interpolation, anisotropic 466
Interpolation, artifacts 22—25
Interpolation, bilinear 16 216
Interpolation, DTI data 465—466
Interpolation, linear 15
Interpolation, Marching Cubes 166—167
Interpolation, schemes 15
Interpolation, shape-based 106—107
Interpolation, triangle-based 166
Interpolation, trilinear 15 16 465
Interval-based volume selection 325—327
Intervals, inner 325
Intervals, outer 325
Intervals, selection 272
InterventionPlanner, default values 518—519
InterventionPlanner, defined 516
InterventionPlanner, surgery planning with 517—518
InterventionPlanner, synchronization 519
Intravascular ultrasound (IVUS) 59
Intuitive color spaces 31
Isolines, combining with color-coding 245—247
Isolines, computation 246
Isolines, generation principle 247
Isosurface extraction, data structures for accelerating 169—173
Isosurface extraction, Dividing Cubes 168
Isosurface extraction, Marching Cubes 162—168
Isosurface extraction, Marching Squares 160—162
Isosurface extraction, polygonal 159—168
Isosurface extraction, splitting box algorithm 168—169
Isosurfaces, model-based visualization versus 367
Isosurfaces, rendering 428
Isovalues, selection of 145
ITK 578
Julius 585
Just-noticeable difference (JND) 28—29
kd-tree 169
Labeling 530—541
Labeling of interactive illustration 536—537
Labeling, anatomic objects 534
Labeling, automatic 531
Labeling, branching 537—539
Labeling, cross-sectional images 539
Labeling, external label placement 531—535
Labeling, interactive 531
Labeling, internal label placement 535—541
Labeling, measurement facilities integration and 530
Labeling, multiple anchor points and 540
Labeling, potential fields 534
Labeling, presentation variables 539—541
Labels, adapting after rotation 539
Labels, adapting after zooming 538
Labels, anchor point determination 535
Labels, external 531—535
Labels, external, grouping 535
Labels, internal 535—541
Labels, layout illustration 533
Labels, rearranging 536
Labels, vertical arrangement 532
Lamina terminalis 394
Laplacian filter 177
Laplacian smoothing 301
Laser-induced interstitial, thermotherapy (LITT) 504 514
Level set methods 111
Lightboxes 68
Line scan diffusion imaging (LSDI) 463
Line stylization 436
Linear histograms 139
Linear interpolation levels 15
Linearization 28
Live Donor Liver Transplants (LDLT) 313 354
Live Donor Liver Transplants (LDLT), case study 512—514
Live Donor Liver Transplants (LDLT), defined 499
Live Donor Liver Transplants (LDLT), donor selection 505
Live Donor Liver Transplants (LDLT), grafts with/without middle hepatic vein 511—512
Live Donor Liver Transplants (LDLT), planning of 356
Live Donor Liver Transplants (LDLT), risk analysis 511—514
Live Donor Liver Transplants (LDLT), strategies 504—505
Live Donor Liver Transplants (LDLT), vascular anatomy and 501 (see also “Liver surgery”)
Liver surgery 503—505
Liver surgery planning 303 499—523\
Liver surgery planning with InterventionPlanner 517—519
Liver surgery planning, clinical application 519—520
Liver surgery planning, HepaVision 516 517
Liver surgery planning, image analysis for 505—508
Liver surgery planning, oncologic, risk analysis for 508—511
Liver surgery planning, software assistants 516—519
Liver surgery, ablation of liver metastases 504
Liver surgery, liver carcinoma 503
Liver surgery, medical background 500—505
Liver surgery, preoperative imaging 502—503 (see also “Live Donor Liver Transplants (LDLT)”)
Liver, anatomy 500—502
Liver, hepatic artery 501—502
Liver, intrahepatic vasculature 506—507
Liver, segmentation 505—506
Liver, segments 500 501
Liver, segments, anatomy prediction 507—508
Liver, vascular structures 501
LiverSurgeryTrainer 553 554
Livewire segmentation 104—109
Livewire segmentation, adaptive propagation and 107—108
Livewire segmentation, defined 104
Livewire segmentation, filtering and 109
Livewire segmentation, interaction techniques 118
Livewire segmentation, results 108
Livewire segmentation, shape-based interpolation and 106—107 (see also “Segmentation”)
Local emphasis 419—420 440—443
Local emphasis with arrows 441—442
Local emphasis with color 440
Local emphasis with shadow volumes 442—443 (see also “Emphasis”)
Local emphasis, focus and context views 440—441
Local histograms 263
Local transfer functions (TFs) 286—287
Local transfer functions (TFs) for detail-and-context views 286
Local transfer functions (TFs) for segmented structures 286—287 (see also “Transfer functions”)
Local transfer functions (TFs), realization of 287
Local transfer functions (TFs), rendering process 287
Logarithmic histograms 140—141
Lookup tables (LUT), 2D transfer function conversion to 271—272
Lookup tables (LUT), adjusting 72
Low pass filtering 20
Macroscopic anatomy 528
Magic Lenses 255
Magnetic resonance imaging (MRI) 4 48—57
Magnetic resonance imaging (MRI), abdominal data 53
Magnetic resonance imaging (MRI), angiography 53
Magnetic resonance imaging (MRI), brain perfusion 254
Magnetic resonance imaging (MRI), contrast enhancement 53
Magnetic resonance imaging (MRI), CT versus 56—57
Magnetic resonance imaging (MRI), DCE 250
Magnetic resonance imaging (MRI), defined 48
Magnetic resonance imaging (MRI), diffusion tensor imaging (DTI) 55—56
Magnetic resonance imaging (MRI), functional (fMRI) 54—55
Magnetic resonance imaging (MRI), image artifacts 54
Magnetic resonance imaging (MRI), imaging coils 52
Magnetic resonance imaging (MRI), intraoperative data 54
Magnetic resonance imaging (MRI), scanning parameters 50—54
Magnetic resonance imaging (MRI), sequences 50
Magnetic resonance imaging (MRI), spin-spin relaxation 50
Magnetic resonance imaging (MRI), summary 63
Magnetic resonance imaging (MRI), T1/T2-weighted cerebral data 52
Mamillary bodies 393
Manual navigation 386
Manual segmentation 76 96
Marching Cubes 162—165
Marching Cubes, ambiguities 165—166
Marching Cubes, defined 162
Marching Cubes, dual algorithm 178
Marching Cubes, equivalence class cases 163
Marching Cubes, interpolation 166—167
Marching Cubes, possible triangulations 165
Marching Cubes, segmented models 167
Marching Squares 160—162
Marker clamp 409
Marker triangulation 410
Marschner-Lobb phantom 232
Mass-spring models 132 556—557
MATLAB 586
Maximum-intensity projections (MIPs) 191—192 193 251—252
Mean symmetric distance 125
Mean transmit time (MTT) 240
Measurement tools, 3D 313
Measurement tools, measurement number assignment 316
Measurement tools, usability 315—317
Measurement tools, volume 329
Measurements 313—339
Measurements of angles between elongated objects 337
Measurements, 3D distance 317—321
Measurements, accuracy and uncertainty 317
Measurements, angular 321—323
Measurements, area 323—324
Measurements, automatic 336—337
Measurements, extents of objects 336
Measurements, general design issues 315—317
Measurements, introductory examples 313—314
Measurements, numbers 316
Measurements, objects relationship 315—316
Measurements, path 320—321
Measurements, performance, anatomic tree structures 374
Measurements, summary 337—338
Measurements, tasks and clinical applications 338
Measurements, volume 324—329
Measurements, widgets 315
MEDAPRA display 414
Medical education, anatomy 546—552
Medical education, datasets for 526—527
Medical education, knowledge representation 528—530
Medical education, outlook 566—567
Medical education, summary 566—567
Medical education, surgery 552—566
Medical education, visualization for 525—567
Medical image data 13—17
Medical image data, acquisition 35—64
Medical image data, registration and fusion 126—131
Medical visualization as analysis process 2
Medical visualization for neck dissection planning 2 (see also “Visualizations”)
Medical visualization, color in 30
Medical visualization, data 4
Medical visualization, image analysis 83—133
Medical visualization, measurements 313—339
Medical volume data 65—81
Medical volume data, cutting 307—310
Medical volume data, dynamic 237—257
Medical volume data, film-based diagnosis 67—69
Medical volume data, soft-copy reading 69—80
Medical volume data, storage 65—67
Medical volume data, summary 80—81
Memory-sensitive processing 202
Mesh, bilateral denoising 177
Mesh, fairing 176
Mesh, reduction 175—176
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