Automated tool to quantitatively assess bone disease on Whole-Body Diffusion Weighted Imaging for patients with Advanced Prostate CancerDownload PDF

22 Apr 2022, 15:53 (edited 04 Jun 2022)MIDL 2022 Short PapersReaders: Everyone
  • Keywords: Metastatic bone disease, WBDWI, transfer learning, atlas-based registration, segmentation
  • TL;DR: Segmentation tool for bone metastases
  • Abstract: An automated tool has been developed to assess bone disease on Whole-Body Diffusion Weighted Imaging (WBDWI). The tool segments areas of suspected bone disease on the high b-value sequences, transfers the ROIs obtained onto the derived Apparent Diffusion Coefficient (ADC) map and estimates the median global ADC (gADC) and the Total Diffusion Volume (TDV).
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  • Paper Type: novel methodological ideas without extensive validation
  • Primary Subject Area: Segmentation
  • Secondary Subject Area: Application: Radiology
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