Document Detail


A new presentation and exploration of human cerebral vasculature correlated with surface and sectional neuroanatomy.
MedLine Citation:
PMID:  19217067     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The increasing complexity of human body models enabled by advances in diagnostic imaging, computing, and growing knowledge calls for the development of a new generation of systems for intelligent exploration of these models. Here, we introduce a novel paradigm for the exploration of digital body models illustrating cerebral vasculature. It enables dynamic scene compositing, real-time interaction combined with animation, correlation of 3D models with sectional images, quantification as well as 3D manipulation-independent labeling and knowledge-related meta labeling (with name, diameter, description, variants, and references). This novel exploration is incorporated into a 3D atlas of cerebral vasculature with arteries and veins along with the surrounding surface and sectional neuroanatomy derived from 3.0 Tesla scans. This exploration paradigm is useful in medical education, training, research, and clinical applications. It enables development of new generation systems for rapid and intelligent exploration of complicated digital body models in real time with dynamic scene compositing from highly parcellated 3D models, continuous navigation, and manipulation-independent labeling with multiple features.
Authors:
Wieslaw L Nowinski; Arumugam Thirunavuukarasuu; Ihar Volkau; Yevgen Marchenko; Bivi Aminah; Arnaud Gelas; Su Huang; Looi Chow Lee; Jimin Liu; Ting Ting Ng; Natalia G Nowinska; Guoyu Yu Qian; Fiftarina Puspitasari; Val M Runge
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Anatomical sciences education     Volume:  2     ISSN:  1935-9780     ISO Abbreviation:  Anat Sci Educ     Publication Date:    2009 Jan-Feb
Date Detail:
Created Date:  2009-03-03     Completed Date:  2009-05-28     Revised Date:  2010-09-30    
Medline Journal Info:
Nlm Unique ID:  101392205     Medline TA:  Anat Sci Educ     Country:  United States    
Other Details:
Languages:  eng     Pagination:  24-33     Citation Subset:  IM    
Copyright Information:
(c) 2009 American Association of Anatomists
Affiliation:
Biomedical Imaging Lab, Singapore Bioimaging Consortium, Agency for Science, Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore. wieslaw@sbic.a-star.edu.sg
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MeSH Terms
Descriptor/Qualifier:
Anatomy / methods*
Brain / blood supply*
Cerebral Arteries / anatomy & histology
Cerebral Veins / anatomy & histology
Computer Graphics
Computer Simulation*
Humans
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Male
Models, Anatomic*
Models, Cardiovascular*
Neuroanatomy / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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