Automated brain extraction and separation in triphenyltetrazolium chloride-stained rat images

Herng Hua Chang, Shin Joe Yeh, Ming Chang Chiang, Sung Tsang Hsieh

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Ischemic stroke is one of the leading causes of death among aged population worldwide. To understand the mechanism and damage of cerebral ischemia, the middle cerebral artery occlusion (MCAO) model in rodents has been generally adopted. For its celerity and veracity, the 2,3,5-triphenyltetrazolium chloride (TTC) staining has been widely utilized to visualize the infarct lesion. An important precursor is to segment the brain regions and compute the midline that separates the brain for subsequent processing. This paper develops an automated brain extraction and hemisphere separation framework in TTC-stained rat images captured by a smartphone. A saliency feature detection scheme associated with superpixels is exploited to extract the brain region into individual slices from the compound image. A chain of edge detection, morphological operation, and polynomial regression methods are introduced to compute the midline. Massive experiments were conducted to quantitatively evaluate the proposed framework. Experimental results indicated that our brain extraction algorithm outperformed competitive methods and our hemisphere separation scheme provided high accuracy.

原文English
主出版物標題28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings
發行者European Signal Processing Conference, EUSIPCO
頁面1362-1366
頁數5
ISBN(電子)9789082797053
DOIs
出版狀態Published - 24 1月 2021
事件28th European Signal Processing Conference, EUSIPCO 2020 - Amsterdam, Netherlands
持續時間: 24 8月 202028 8月 2020

出版系列

名字European Signal Processing Conference
2021-January
ISSN(列印)2219-5491

Conference

Conference28th European Signal Processing Conference, EUSIPCO 2020
國家/地區Netherlands
城市Amsterdam
期間24/08/2028/08/20

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