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Automatic Versus Semi-Automatic method for the striatum specific uptake ratio quantification based on 123IFP-CIT SPECT images

机译:基于 123 i fp-cit Spect图像,自动对纹章特定摄取比定量定量定量

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The aim of this work was to implement an automatic application (AA) for the quantification of the striatum transaxial slices based on [123I]FP-CIT SPECT (Single Photon Emission Tomography) images. A sample of 68 subjects with and without pathology was collected from the nuclear medicine department of the Hospital Particular de Almada. In order to compare the striatum specific uptake ratios (SUR), a semi-automatic application (SAA) was also developed allowing manual adjustments by a specialist operator. The obtained results were compared with the DaTSCAN? V4 application, from General Electric Healthcare. The experimental results based on SUR demonstrate that the AA can successfully discriminate the healthy patients from the pathological subjects. Additionally, a strong correlation was verified between the AA and the semi-automatic methods (DaTSCAN? V4 and the SAA). These methods also evidence intra and inter-operator variability, suppressed by the AA. The proposed methodology for segmentation and quantification of the striatum transaxial images obtained by [123I]FP-CIT SPECT demonstrated that the developed application can accurately complement the visual analysis, requiring future optimization.
机译:这个工作的目的是实现用于纹状体的量化的自动应用(AA)横断切片基于[ 123 I] FP-CIT SPECT(单光子发射断层摄影)图像。 68个科目与不病理样品从医院特别德阿尔马达的核医学科收集。为了比较纹状体特异性摄取比(SUR),半自动应用(SAA)也被开发从而允许由专家操作者手动调节。将所得到的结果与DaTSCAN进行比较 V4应用程序,从通用电气医疗保健。基于SUR实验结果表明,AA可以成功区分健康的病人的病理科。另外,强相关性的AA和半自动的方法(DaTSCAN之间验证 V4和SAA)。这些方法也证明内和运营商间的变化,抑制由AA。用于分割和纹状体横断图像的量化所建议的方法由[获得 123 I] FP-CIT SPECT表明,开发的应用可以准确地补充视觉分析,要求未来的优化。

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