Analysis of ischemic stroke MR images by means of brain atlases of anatomy and blood supply territories.
OBJECTIVE
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.


METHODS
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.


RESULTS
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.


CONCLUSIONS
This method potentially facilitates and speeds up stroke data analysis, as well as supports decision making.
Nowinski
Wieslaw L
WL
Biomedical Imaging Lab, Agency for Science, Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore 138671. wieslaw@sbic.a-star.edu.sg
Qian
Guoyu
G
Kirgaval Nagaraja
Bhanu Prakash
BP
Thirunavuukarasuu
Arumugam
A
Hu
Qingmao
Q
Ivanov
Nick
N
Parimal
Annamalai Sapayu
AS
Runge
Val M
VM
Beauchamp
Norman J
NJ
D001271:Atlases as Topic; D002545:Brain Ischemia / Q000175:diagnosis*; D001931:Brain Mapping / Q000379:methods; D002560:Cerebrovascular Circulation; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008488:Medical Illustration