Stereotactic statistical imaging analysis of the brain using the easy Z-score imaging system for sharing a normal database.

Stereotactic statistical imaging analysis of the brain using the easy Z-score imaging system for sharing a normal database.
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DOI:
10.1007/s11604-006-0056-8
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发表时间:
2006-08-01
期刊:
影响因子:
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通讯作者:
Kumita, Shin-ichiro
Kumita, Shin-ichiro
中科院分区:
其他
文献类型:
--
作者:
Mizumura, Sunao;Kumita, Shin-ichiro

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统计脑成像分析具有良好的客观性和重复性。在日本,全国范围内使用统计参数图(SPM)和三维立体定向表面投影(3D-SSP)作为标准脑坐标的统计成像分析。它们通常通过避免临床医生不熟悉的可能的陷阱(例如,衰老、萎缩的影响)来帮助解释脑单光子发射计算机断层扫描(SPECT)图像。然而,这种类型的分析带来了一个问题:统计处理需要许多正常的受试者图像。Easy Z-Score成像系统(EZIS)是使用SPM处理进行归一化和平滑处理的统计分析方法之一,它具有图像转换功能,无需控制数据库即可进行统计分析。因此,通过共享已准备好的正常数据库,统计分析可用于临床实践。通过处理共享数据库来统一图像质量,该程序在许多医院共享患者成像数据方面具有巨大的潜力。预计eZIS将在合作研究中帮助对许多功能性疾病进行详细分析。本文描述了脑SPECT图像的解释,并提出了eZIS的用处和潜力。
Statistical brain imaging analysis has good objectivity and reproducibility. In Japan, statistical parametric mapping (SPM) and three-dimensional stereotactic surface projections (3D-SSP) are used nationwide as statistical imaging analysis with standard brain coordinates. They often help to interpret brain single photon emission computed tomography (SPECT) images by avoiding possible pitfalls (e.g., effects of aging, atrophy) with which clinicians are unfamiliar. However, this type of analysis presents a problem: statistical processing requires many normal subject images. The easy Z-score imaging system (eZIS) is one of the statistical analysis methods that uses SPM processing in normalization and smoothing, and it has the function of image conversion leading to statistical analysis without a control database. Therefore, statistical analysis can be used in clinical practice by sharing a prepared normal database. By unifying the image quality by processing a shared database, this program has great potential for sharing patient imaging data in many hospitals. It is expected that the eZIS will help perform detailed analysis in many functional diseases in collaborative studies. This article describes the interpretation of brain SPECT images and suggests the usefulness and potential of eZIS.