Visualization in Medicine: Theory, Algorithms, and ApplicationsVisualization 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 |
Contents
| 1 | |
| 11 | |
Volume Visualization | 135 |
Exploration of Medical Volume Data | 259 |
Advanced Visualization Techniques | 341 |
Application Areas and Case Studies | 497 |
Appendix A Systems for Visualization in Medicine | 575 |
| 589 | |
| 641 | |
Other editions - View all
Visualization in Medicine: Theory, Algorithms, and Applications Bernhard Preim,Dirk Bartz Limited preview - 2007 |
Visualization in Medicine: Theory, Algorithms, and Applications Bernhard Preim,Dirk Bartz No preview available - 2007 |
Common terms and phrases
3D visualizations algorithms anisotropy applications approach artifacts boundary Bremen clinical clipping color computed contour described diagnosis DICOM direct volume rendering discussed distance DTI data employed endoscopy essential evaluation example FIGURE filter framebuffer graphics gray values grid haptic histogram image analysis Image courtesy intensity values interaction interpolation intraoperative isosurface labels mapped Marching Cubes measurements medical image medical image data medical visualization methods MeVis Bremen MRI data objects opacity parameters patient perfusion pixels plane points polygonal PREIM ray casting recall Sect reconstruction regions relevant represent representation requires resolution respect sampling scanning Section segmentation result selected shape silhouette skeleton slice smoothing spatial splatting surface surgery planning surgical threshold tissue transfer functions trilinear interpolation tumor typically University of Magdeburg University of Tübingen vascular structures virtual endoscopy virtual resection visible visualization techniques volume dataset volume rendering voxel values voxels X-ray
Popular passages
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