Analysis of Ischemic Stroke MR Images by Means of Brain Atlases of Anatomy and Blood Supply Territories

A method for atlas-assisted analysis of stroke magnetic resonance images that is a part of a stroke computer-assisted diagnosis system supporting rapid and quantitative checking of thrombolysis conditions is presented. Two brain atlases are used for analysis: atlas of anatomy (AA) and atlas of blood...

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Veröffentlicht in:Academic radiology 2006-08, Vol.13 (8), p.1025-1034
Hauptverfasser: Nowinski, Wieslaw L., Qian, Guoyu, Kirgaval Nagaraja, Bhanu Prakash, Thirunavuukarasuu, Arumugam, Hu, Qingmao, Ivanov, Nick, Parimal, Annamalai Sapayu, Runge, Val M., Beauchamp, Norman J.
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Sprache:eng
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Zusammenfassung:A method for atlas-assisted analysis of stroke magnetic resonance images that is a part of a stroke computer-assisted diagnosis system supporting rapid and quantitative checking of thrombolysis conditions is presented. Two brain atlases are used for analysis: atlas of anatomy (AA) and atlas of blood supply territories (BSTs). To map these atlases onto scans, two methods are used at present: (1) fast Talairach transformation and (2) midsagittal plane and brain’s bounding box matching. After atlas-to-scan mapping, both atlases are superimposed onto the studied images and can be used to get their underlying anatomy and BSTs. To speed up the process of analysis, the system automatically analyzes entire regions occupied by the infarct and penumbra. By using both atlases, the system calculates the following values for each infarct and penumbra region: (1) names of all anatomic structures and BSTs within the region, (2) volumes of occupancy for each structure and territory, and (3) percentages of occupancy for each structure and territory. In addition, the system calculates the infarct–middle cerebral artery (MCA) territory ratio for diffusion-weighted images and the penumbra-MCA territory ratio for perfusion images. Atlas-assisted analysis is fast, and calculations take less than 10 seconds. This method potentially facilitates and speeds up stroke data analysis, as well as supports decision making.
ISSN:1076-6332
1878-4046
DOI:10.1016/j.acra.2006.05.009