Automatic infarct segmentation in rat brain MR images after stroke using an adaptive deformable model

Herng Hua Chang*, Shin Joe Yeh, Yi Ru Lin, Ming Chang Chiang, Sung Tsang Hsieh

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Experimental ischemic stroke models play an important role in realizing the mechanism of cerebral ischemia and evaluating the development of pathological extent. An efficient and reliable image segmentation tool to automatically identify the infarct region in the diffusion weighted imaging (DWI) and T2-weighted MRI (T2WI) images is critical for subsequent processing applications. This paper develops an automatic infarct segmentation algorithm in both rat brain DWI and T2WI images after stroke for further evaluation of neurological damages. The proposed framework consists of four major steps including image preprocessing, image registration, image enhancement, and infarct segmentation. To achieve complete automation, the input rat brain is first divided into two hemispheres, from which the initial infarct mask is acquired after a series of image registration, image subtraction, and image enhancement processes. Subsequently, an adaptive deformable model is exploited to perform infarct region segmentation. The proposed deformable model employs two-phase level set evolution, which is regularized by a local region integration. The integration of the difference between the local intensities and the global mean intensity is restricted in the inward and outward normal directions to minimize the influence of the intensity inhomogeneity. Moreover, the time step is dynamically modified towards annealing for performance refinement. Massive MR images were utilized to evaluate this new infarct segmentation algorithm. Adequate infarct segmentation results were obtained, which outperformed other competitive methods both qualitatively and quantitatively. Our infarct segmentation framework is of potential in providing a decent tool to facilitate preclinical stroke investigation and relevant neuroscience research using DWI and T2WI images.

原文English
主出版物標題Medical Imaging 2023
主出版物子標題Biomedical Applications in Molecular, Structural, and Functional Imaging
編輯Barjor S. Gimi, Andrzej Krol
發行者SPIE
ISBN(電子)9781510660410
DOIs
出版狀態Published - 2023
事件Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, United States
持續時間: 19 2月 202322 2月 2023

出版系列

名字Progress in Biomedical Optics and Imaging - Proceedings of SPIE
12468
ISSN(列印)1605-7422

Conference

ConferenceMedical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging
國家/地區United States
城市San Diego
期間19/02/2322/02/23

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