Fast delineation of intracranial hemorrhage from non-enhanced head CT images

Hu Qing-mao; Cheng Guan-xun; Chen Le-ping
July 2008
Journal of US-China Medical Science;Jul2008, Vol. 5 Issue 7, p8
Academic Journal
This study aims to fast and accurately delineate acute intracranial hemorrhage (AIH) from non-enhanced head CT images. Methods An algorithm is proposed which consists of the following steps: skull peeling through intensity thresholding and mathematical morphology; adaptive selection of the original image, brain structures or head structures for calculating the midsagittal plane (MSP) according to the number of detected inlier symmetrical points on axial slices; determination of AIH candidate regions based on AIH's high intensities, high intensity asymmetry with respect to the MSP, and being brighter than their surrounding brain tissues; removal of calcification and linear streaks, and compensation of partial volume effects. Results The algorithm has been validated against 70 clinical non-enhanced CT data sets from multi-centers in China and Japan (55 AIH and 15 non-AIH). It can differentiate all the AIH from non-AIH, and the delineation of AIH is visually checked with success. Conclusion The proposed algorithm is fast (less than 20 seconds on a PC with 2.21 GHz CPU), automatic and accurate, and could be employed for the diagnosis and curing of AIH patients.


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