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立体定向脑图像定量分析方法的开发:利用解剖分割评估范围和严重程度的累积减少情况。

Development of quantitative analysis method for stereotactic brain image: assessment of reduced accumulation in extent and severity using anatomical segmentation.

作者信息

Mizumura Sunao, Kumita Shin-ichiro, Cho Keiichi, Ishihara Makiko, Nakajo Hidenobu, Toba Masahiro, Kumazaki Tatsuo

机构信息

Department of Radiology, Nippon Medical School, Tokyo, Japan.

出版信息

Ann Nucl Med. 2003 Jun;17(4):289-95. doi: 10.1007/BF02988523.

DOI:10.1007/BF02988523
PMID:12932111
Abstract

Through visual assessment by three-dimensional (3D) brain image analysis methods using stereotactic brain coordinates system, such as three-dimensional stereotactic surface projections and statistical parametric mapping, it is difficult to quantitatively assess anatomical information and the range of extent of an abnormal region. In this study, we devised a method to quantitatively assess local abnormal findings by segmenting a brain map according to anatomical structure. Through quantitative local abnormality assessment using this method, we studied the characteristics of distribution of reduced blood flow in cases with dementia of the Alzheimer type (DAT). Using twenty-five cases with DAT (mean age, 68.9 years old), all of whom were diagnosed as probable Alzheimer's disease based on NINCDS-ADRDA, we collected I-123 iodoamphetamine SPECT data. A 3D brain map using the 3D-SSP program was compared with the data of 20 cases in the control group, who age-matched the subject cases. To study local abnormalities on the 3D images, we divided the whole brain into 24 segments based on anatomical classification. We assessed the extent of an abnormal region in each segment (rate of the coordinates with a Z-value that exceeds the threshold value, in all coordinates within a segment), and severity (average Z-value of the coordinates with a Z-value that exceeds the threshold value). This method clarified orientation and expansion of reduced accumulation, through classifying stereotactic brain coordinates according to the anatomical structure. This method was considered useful for quantitatively grasping distribution abnormalities in the brain and changes in abnormality distribution.

摘要

通过使用立体定向脑坐标系的三维(3D)脑图像分析方法进行视觉评估,如三维立体定向表面投影和统计参数映射,难以定量评估解剖学信息和异常区域的范围。在本研究中,我们设计了一种根据解剖结构分割脑图谱来定量评估局部异常发现的方法。通过使用该方法进行定量局部异常评估,我们研究了阿尔茨海默病型痴呆(DAT)患者脑血流减少的分布特征。我们收集了25例DAT患者(平均年龄68.9岁)的I-123碘安非他明单光子发射计算机断层扫描(SPECT)数据,所有患者均根据美国国立神经疾病和中风研究所 - 阿尔茨海默病及相关疾病协会(NINCDS - ADRDA)标准被诊断为可能的阿尔茨海默病。使用3D - SSP程序生成的3D脑图谱与20例年龄匹配的对照组数据进行比较。为了研究3D图像上的局部异常,我们根据解剖学分类将整个脑分为24个节段。我们评估每个节段中异常区域的范围(节段内所有坐标中Z值超过阈值的坐标比例)和严重程度(Z值超过阈值的坐标的平均Z值)。该方法通过根据解剖结构对立体定向脑坐标进行分类,明确了放射性摄取减少的方向和扩展范围。该方法被认为有助于定量把握脑内分布异常及异常分布的变化。

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