Radiology Alliance for Health Services Research Statistical Validation of Image Segmentation Quality Based on a Spatial Overlap Index1 Scientific Reports

نویسندگان

  • Kelly H. Zou
  • Simon K. Warfield
  • Michael R. Kaus
  • Steven J. Haker
  • Ferenc A. Jolesz
چکیده

Materials and Methods. The Dice similarity coefficient (DSC) was used as a statistical validation metric to evaluate the performance of both the reproducibility of manual segmentations and the spatial overlap accuracy of automated probabilistic fractional segmentation of MR images, illustrated on two clinical examples. Example 1: 10 consecutive cases of prostate brachytherapy patients underwent both preoperative 1.5T and intraoperative 0.5T MR imaging. For each case, 5 repeated manual segmentations of the prostate peripheral zone were performed separately on preoperative and on intraoperative images. Example 2: A semi-automated probabilistic fractional segmentation algorithm was applied to MR imaging of 9 cases with 3 types of brain tumors. DSC values were computed and logit-transformed values were compared in the mean with the analysis of variance (ANOVA).

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تاریخ انتشار 2004