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An Improvement Method of Brain Extraction Tools for Magnetic Resonance Images

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收录情况： ◇ SCIE ◇ CPCI(ISTP)

作者：

机构： [1]Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China; [2]Harbin Inst Technol, Honor Sch, Harbin 150001, Peoples R China; [3]Capital Med Univ, Beijing Tiantan Hosp, Dept Radiol, Beijing 100050, Peoples R China; [4]Beijing Neurosurg Inst, Beijing 100050, Peoples R China

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关键词： Brain Extraction Segmentation MRI Brain Tumor Glioma Deformable Model

摘要：

The brain segmentation of MRI images is the basic step for most studies of brain, such as quantification analysis of brain tissues, and function and fiber analysis of central nervous system. The Brain Extraction Tools (BET), which has been integrated into some application software such as MRIcro and FMRIB Software Library (FSL), plays an important role in the scientific study of brain. But there are still some problems in terms of accuracy and the degree of automatic processing. An improved method of BET is proposed in this paper, which gives a refined initial deformable model and an improved deformation process. It can provide higher accuracy and robustness than the original BET for automatic brain segmentation. The performance evaluation of this improvement has been done by using some clinical MRI data with glioma that are 3D T1-weighted sequence. Comparing the segmentation results with the "ground truth" of brain, the average overlay rate is 95.11%, greater than the 94.32% of the original BET, and the average extra rate, which indicates the ratio of the residual non-brain tissues after segmentation to total non-brain tissues, is 1.09%, much lower than 10.54% provided by the original BET in FSL.

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出版当年[2013]版：

大类 | 4 区医学

小类 | 4 区数学与计算生物学 4 区核医学

最新[2023]版：

无

JCR分区：

出版当年[2012]版：

Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

最新[2023]版：

无

影响因子： 0 最新[2023版] 0 最新五年平均 0.642 出版当年[2012版] 0.642 出版当年五年平均 0 出版前一年[2011版] 0.623 出版后一年[2013版]

第一作者：

第一作者机构： [1]Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China;

通讯作者：

通讯机构： [1]Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China;

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