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Medical Image Computing and Computer-Assisted Intervention - MICCAI'99 -

Medical Image Computing and Computer-Assisted Intervention - MICCAI'99

Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings

Chris Taylor, Alan Colchester (Herausgeber)

Media-Kombination
XLII, 1242 Seiten | Ausstattung: Softcover
1999 | 1999
Springer Berlin
978-3-540-66503-8 (ISBN)
CHF 74,85 inkl. MwSt
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Abnormal white matter of the brain is common to patients with one of s- eral di?erent diseases (including multiple sclerosis (MS) and Alzheimer s d- ease (AD)) and also appears in normal (asymptomatic) aging (NA) subjects. Better characterization of the nature of these white matter changes can help to improve our understanding of the biological processes at work. Clinically, it is interesting to be able to di?erentiate between di?erent disease states and to ?nd markerswhich allowearlydiagnosis.Conventionalspin echo magnetic resonance imaging is sensitive to these white matter changes. MRI studies of patients and volunteershaveindicatedthatthepatternsofbrainchangeassociatedwiththese processes are di?erent. An important goal is to be able to quantitatively study these di?erences. Many automated and semi-automated segmentation algorithms for quan- tatively assessing these brain changes have been developed and validated. Most of these algorithms have aimed at determining a binary characterization of each voxelas one of a groupof possible tissue classes.This approachhas been limited bytwofactors.First,abnormalwhitematter isoftenisointensewithnormalgrey matter and previous studies have been limited by the inability to discriminate between some abnormal white matter and normal grey matter [1,2]. Secondly, white matter damage appears as an heterogenous region of abnormal signal - tensity but binarization of the segmentation treats all levels of signal intensity abnormality equally.

Data-Driven Segmentation.- Segmentation Using Structural Models.- Image Processing and Feature Detection.- Surfaces and Shape.- Measurement and Interpretation.- Spatiotemporal and Diffusion Tensor Analysis.- Registration and Fusion.- Visualisation.- Image-Guided Intervention.- Robotic Systems.- Biomechanics and Simulation.

Erscheint lt. Verlag 8.9.1999
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XLII, 1242 p. 657 illus., 54 illus. in color. In 2 volumes, not available separately.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 1546 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Schlagworte Algorithmen • Bildverarbeitung • Biomechanics • computer vision • Diffusion • Image Processing • Medical Image Processing • Medizinische Informatik • robot • Segmentation • Surgical Planning
ISBN-10 3-540-66503-X / 354066503X
ISBN-13 978-3-540-66503-8 / 9783540665038
Zustand Neuware
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