Fully automated quantification of regional cerebral blood flow with three-dimensional stereotaxic region of interest template: validation using magnetic resonance imaging--technical note.

Fully automated quantification of regional cerebral blood flow with three-dimensional stereotaxic region of interest template: validation using magnetic resonance imaging--technical note.
复制标题

使用三维立体定向感兴趣区域模板全自动量化局部脑血流量:使用磁共振成像进行验证 - 技术说明。

DOI:
10.2176/nmc.43.153
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发表时间:
2003
影响因子:
1.9
通讯作者:
J. Konishi
J. Konishi
中科院分区:
医学4区
文献类型:
--
作者:
R. Takeuchi;Y. Yonekura;S. Takeda;K. Fujita;J. Konishi

文献摘要

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先前报道的三维立体定向感兴趣区域(ROI)模板(3DSRT-t)用于解剖标准化技术-99m- l, l -半胱氨酸二聚体(99mTc-ECD)单光子发射计算机断层扫描(SPECT)图像的分析,被修改用于全自动区域脑血流量(rCBF)定量软件3DSRT。结合移植自统计参数映射99的解剖标准化引擎和基于3DSRT-t的roi进行量化。将10例局部梗死区患者的三维t2加权磁共振图像与3DSRT的ROI轮廓线进行比较,并估计初级感觉运动区中央沟的位置。20个病灶的位置均严格符合3DSRT的ROI圈定。中心沟至少在210对roi的一侧被发现,在主要感觉运动区的273对roi中,这210对roi中的192(91.4%)在中间被发现。中央沟在超过71.4%的roi中被识别,其中中央沟在初级感觉运动区各自的28个切片中被识别。3DSRT可以在解剖学标准化图像上实现全自动准确的ROI描绘,使用RVR方法获得的99mTc-ECD SPECT图像,仅需几分钟即可实现rCBF和血管储备的客观量化。
The previously reported three-dimensional stereotaxic region of interest (ROI) template (3DSRT-t) for the analysis of anatomically standardized technetium-99m-L,L-ethyl cysteinate dimer (99mTc-ECD) single photon emission computed tomography (SPECT) images was modified for use in a fully automated regional cerebral blood flow (rCBF) quantification software, 3DSRT, incorporating an anatomical standardization engine transplanted from statistical parametric mapping 99 and ROIs for quantification based on 3DSRT-t. Three-dimensional T2-weighted magnetic resonance images of 10 patients with localized infarcted areas were compared with the ROI contour of 3DSRT, and the positions of the central sulcus in the primary sensorimotor area were also estimated. All positions of the 20 lesions were in strict accordance with the ROI delineation of 3DSRT. The central sulcus was identified on at least one side of 210 paired ROIs and in the middle of 192 (91.4%) of these 210 paired ROIs among the 273 paired ROIs of the primary sensorimotor area. The central sulcus was recognized in the middle of more than 71.4% of the ROIs in which the central sulcus was identifiable in the respective 28 slices of the primary sensorimotor area. Fully automated accurate ROI delineation on anatomically standardized images is possible with 3DSRT, which enables objective quantification of rCBF and vascular reserve in only a few minutes using 99mTc-ECD SPECT images obtained by the RVR method.