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Quantitative Calculation Method of Automated Regional Brain Atrophy Degree
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A quantitative calculation and brain atrophy technology, applied in calculation, image analysis, image enhancement, etc., can solve the problems of lack of quantitative methods for the degree of brain atrophy, and achieve the effects of high quantification, accurate judgment and high feasibility
Active Publication Date: 2018-12-07
SHENZHEN BRAINNOW MEDICAL TECH CO LTD
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[0006] The purpose of the present invention is to provide an automatic quantitative calculation method for the degree of brain atrophy in different regions in view of the lack of quantitative methods for the existing degree of brain atrophy
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[0045] Collect the T1w structural magnetic resonance images of 100 normal elderly people aged 65±9 years old and 100 dementia patients aged 65±9 years old for experiments, and compare the brain regions of normal elderly people and dementia patients Atrophy of the brain. Specific steps are as follows:
[0046] Step S01. Perform non-linear registration and mapping between the T1w structural magnetic resonance images of normal elderly people and senile dementia patients and brain templates to obtain the space between each brain template and each individual (normal elderly people, senile dementia patients) transformation relationship;
[0047] Step S02. Map the brain lobe partition and brain tissue probability map on the brain template to the object space to be segmented;
[0048] Step S03. Use the STAPLE label fusion method to fuse the brain lobe partitions of each individual; select the brain tissue probability map of the template that is most similar to the target image after...
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Abstract
A method of the automatic quantification of regional brain atrophy includes at least the steps of brain template database construction, non-linear registration and calculation of brain atrophy degree. The method is convenient and efficiency with a high degree of quantification and accurate, this disclosure offers a highly feasible strategy in quantifying brain atrophy degree, which serves as a reference to assist the evaluation of other situations.
Description
technical field [0001] 本发明涉及脑萎缩程度计算技术领域,尤其涉及一种自动化分区域脑萎缩程度的定量计算方法。 Background technique [0002] 脑萎缩(brain atrophy)是脑组织本身发生器质性病变而产生萎缩的一种现象。脑萎缩的主要病理表现为脑组织结构体积缩小,脑实质减少,脑重量减轻,细胞数目减少,脑回变平,脑沟增宽增深,脑室、脑池和蛛网膜下腔扩大。脑萎缩的临床表现可分为大脑机能衰退和痴呆等智能衰退两大类,这些都主要与脑萎缩发生的部位及程度有关。其中,脑萎缩的一种重要的类型就是以大脑皮层萎缩为主要病理改变的大脑萎缩,在临床上多表现为运动功能障碍,记忆力减退和反应迟钝等。 [0003] 随着影像医学和计算机信息图像处理相关技术的发展,神经影像及相关的分析研究,作为一种准确、再现性高且定量的评估方法,有着非常重要的作用。通过医学神经影像的计算机辅助系统来辅助进行判断具有重大的作用和意义。 [0004] 脑萎缩原本是在CT或磁共振(MRI)检查时,发现脑组织体积减小和脑室扩大等而命名的,因此,脑萎缩是许多疾病的神经影像学表现。CT及MRI等神经影像学检查可发现脑组织体积减少、脑室扩大。如果大脑萎缩可见脑皮质与颅骨板间隙增大,大脑沟增宽增深、脑回变平缩小,侧脑室及第三脑室扩大,侧脑室前后角周围密度减低。小脑萎缩时可现实小脑脑沟增宽增深,体积缩小,影像呈现分枝树叶状,小脑周围腔隙增大,第四脑室扩大。如果有脑桥橄榄体萎缩,在神经影像上可见脑干变细狭窄,周围脑腔隙增大、橄榄体变扁平或缩小。由于不同的疾病引起的脑萎缩的部位和程度有较大差异,因此,临床神经影像分析中准确地判断脑萎缩的区域和脑萎缩的程度有着非常重要的意义。 [0005] 目前脑萎缩程度的判断大多是根据经验主观判断,尚缺少简单客观的量化指标。因此,有必要寻找脑萎缩程度的量化方法,以准确判断脑萎缩程度。 Contents of the invention [0006] 本发明的目的在于针对现有脑萎缩程度缺少量化方法的问题,提供一种自动化分区域脑萎缩程度的定量计算方法。 [0007] 为达到上述发明目的,本发明采用了如下的技术方案: [0008] 一种自动化分区域脑萎缩程度的定量计算方法,至少包括以下步骤: ...
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