Volume quantification of 123I-DaTSCAN imaging by MatLab for the differentiation and grading of parkinsonism and essential tremor
Volume quantification of 123I-DaTSCAN imaging by MatLab for the differentiation and grading of parkinsonism and essential tremor
复制标题
MatLab 对 123I-DaTSCAN 成像进行体积量化，用于帕金森病和特发性震颤的区分和分级
DOI：
10.1109/cssr.2010.5773757
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
N. Lagopati
中科院分区：
文献类型：
--
作者：
M. Lyra;J. Striligas;Maria Gavrilleli;N. Lagopati
123I-DaTSCAN成像研究表明，它能够检测纹状体多巴胺转运体的丢失。本工作的目的是评价用MatLab程序处理纹状体成像数据的数学方法是否能够区分不同阶段的帕金森综合征和特发性震颤，从而提高诊断的准确性。通过对123I-DaTSCAN(123I-ioflupane)图像的数字化处理来提取参数以区分帕金森综合征和特发性震颤，以及对体内多巴胺转运体(DAT)的SPECT成像评估，将产生模式识别的显示。测量左右两侧神经节的偏心率、长短轴长度、方位、面积、等效直径和积分强度。这两个神经节参数的特定比率提供了一个分类指标，并有助于诊断。
123I-DaTSCAN imaging studies have shown the ability to detect loss of striatal dopamine transporters. Aim of this work is to evaluate whether mathematical approach of striatum imaging data by Matlab program processing can differentiate between parkinsonian syndromes, of various stages, and essential tremor, and thus increase diagnostic accuracy. The extraction of parameters by digitized processing of 123I-DaTSCAN (123I-ioflupane) images to differentiate between parkinsonism and essential tremor and evaluation of SPECT imaging of the dopamine transporters (DAT) in vivo, will produce a display of pattern recognition. Eccentricity, major & minor axis length, orientation, area, equivalent diameter and integral intensity of both left & right ganglia were determined. A specific ratio of both ganglia parameters gives a classification indication and contributes in diagnosis decision.