NDLI: Geometrical and physical models for the recovery of quantitative information from medical image analysis

Content Provider	IEEE Xplore Digital Library
Author	Duncan, J.S.
Copyright Year	2002
Description	Author affiliation: Departments of Diagnostic Radiol. & Electr. Eng., Yale Univ., New Haven, CT, USA (Duncan, J.S.)
Abstract	Summary form only given. The development of methods to accurately and reproducibly recover useful quantitative information from medical images is often hampered by uncertainties in handling these data related to image acquisition parameters, the variability of normal human anatomy and physiology, the presence of disease or other abnormal conditions, and a variety of other factors. Several image analysis strategies are presented that make use of models based on geometrical and physical/biomechanical information to help constrain the range of possible solutions in the presence of such uncertainty. Included are approaches for image segmentation, object motion tracking, shape/volume measurement, and deformation analysis. These ideas are presented in the context of three problem/application areas within the general field of organ/tissue-level medical image analysis: (i) the characterization of cardiac function from noninvasive 4D image data, (ii) the analysis of neuro-anatomical structure from magnetic resonance images, and (iii) the development of an approach that compensates for brain shift in the image data during image-guided neurosurgery. The talk will include a description of the problem areas and visual examples of the image datasets being used, an overview of the mathematical techniques involved and a presentation of results obtained when analyzing patient image data using these methods.
File Size	42120
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1048293
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Biomedical imaging Image analysis Image motion analysis Magnetic analysis Data analysis Uncertainty Human anatomy Physiology Diseases
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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