A knowledge-based approach to 3-D reconstruction of human cerebral vasculature

Good visualisation of the vasculature is essential in the diagnosis and treatment of a variety of brain disorders. This paper presents a new approach to 3-D reconstruction of vascular structures using knowledge-based image processing and multimodal image fusion. The task is to reconstruct the human...

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Veröffentlicht in:	Computers in biology and medicine 1998-07, Vol.28 (4), p.405-413
1. Verfasser:	Zrimec, Tatjana
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anatomy Arteriovenous malformations Arteriovenous Malformations - diagnosis Arteriovenous Malformations - therapy Artificial Intelligence Biological and medical sciences Central nervous system Cerebral Angiography Cerebral Arteries - anatomy & histology Cerebral vasculature Cerebral Veins - anatomy & histology Computer graphics Fundamental and applied biological sciences. Psychology Humans Knowledge-based image processing Magnetic Resonance Angiography Modelling Models, Cardiovascular Radiographic Image Enhancement - methods Symbolic representation Vertebrates: nervous system and sense organs
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Beschreibung
Zusammenfassung:	Good visualisation of the vasculature is essential in the diagnosis and treatment of a variety of brain disorders. This paper presents a new approach to 3-D reconstruction of vascular structures using knowledge-based image processing and multimodal image fusion. The task is to reconstruct the human cerebro-vascular system from the partial information collected from a variety of medical imaging instruments and then recombine these limited models into an anatomically accurate one.
ISSN:	0010-4825 1879-0534
DOI:	10.1016/S0010-4825(98)00021-3