Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010138271 | RC691.6.A53 A53 2003 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
Recent, rapid advances in mathematical engineering and applied mathematics have opened the door to solving complex problems in angiography imaging. For the first time, this book presents the different medical imaging modalities--MR, CT, x-ray, and ultrasound--for performing angiography and its analysis. Pioneers from a variety of relevant disciplines address state-of-the-art issues related to angiography, pre- and post angiography imaging, and their applications, such as intravascular ultrasound and x-ray fusion, plaque imaging, and morphology analysis. Their presentations cover most of the segmentation algorithms for anatomic blood vessels of the body, such as the brain, aorta, and retina.
Author Notes
Dr. Jasjit S. Suri is in the Department of Biomedical Engineering at Case Western Reserve University in Cleveland. Ohio
Dr. Swamy Laxminarayan is Chief of Biomedical Information Engineering at Idaho State University in Pocatello, Idaho
Table of Contents
1 Non-Skeleton and Skeleton-Based Segmentation Techniques from Angiography Data Sets | p. 1 |
2 Scale-Space 3-D Ellipsoidal Filtering for White and Black Blood MRA | p. 69 |
3 Three-Dimensional Interactive Vascular Postprocessing Techniques: Industrial Perspective | p. 99 |
4 Masking Strategies for Black-Blood Angiography | p. 143 |
5 Segmentation of Retinal Fundus Vasculature in Nonmydriatic Camera Images Using Wavelets | p. 193 |
6 Automated Model-Based Segmentation, Tracing, and Analysis of Retinal Vasculature from Digital Fundus Images | p. 225 |
7 Atherosclerotic Plaque Imaging Techniques in Magnetic Resonance Images | p. 299 |
8 Analysis and Visualization of Atherosclerotic Plaque Composition by MRI | p. 331 |
9 Plaque Morphological Quantitation | p. 365 |
10 On the Role of Computer Vision in Intravascular Ultrasound Image Analysis | p. 397 |
11 Clinical Applications Involving Vascular Image Segmentation and Registration | p. 451 |
12 A Note on Future Research in Vascular and Plaque Segmentation | p. 501 |
Index | p. 523 |