Ãëàâíàÿ    Ex Libris    Êíèãè    Æóðíàëû    Ñòàòüè    Ñåðèè    Êàòàëîã    Wanted    Çàãðóçêà    ÕóäËèò    Ñïðàâêà    Ïîèñê ïî èíäåêñàì    Ïîèñê    Ôîðóì   
blank
Àâòîðèçàöèÿ

       
blank
Ïîèñê ïî óêàçàòåëÿì

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



Îáñóäèòå êíèãó íà íàó÷íîì ôîðóìå



Íàøëè îïå÷àòêó?
Âûäåëèòå åå ìûøêîé è íàæìèòå Ctrl+Enter


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
blank
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
1 2 3 4 5 6
blank
Ðåêëàìà
blank
blank
HR
@Mail.ru
       © Ýëåêòðîííàÿ áèáëèîòåêà ïîïå÷èòåëüñêîãî ñîâåòà ìåõìàòà ÌÃÓ, 2004-2024
Ýëåêòðîííàÿ áèáëèîòåêà ìåõìàòà ÌÃÓ | Valid HTML 4.01! | Valid CSS! Î ïðîåêòå