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Releases: ad12/DOSMA

v0.0.11

31 Dec 06:31
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v0.0.11 Pre-release
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Thank you for using DOSMA! We have added the following functionality to the codebase:

  • Add support for UTE Cones
  • Add scripts for easy setup and execution
  • Add documentation

v0.0.10

20 Jul 05:17
efbc618
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v0.0.10 Pre-release
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Thank you for using DOSMA! We have added the following functionality to the codebase:

  • new user interface for controlling scans
  • dicom & nifti support
  • streamlined command line interface
  • now supporting patellar cartilage, meniscus, and tibial cartilage

v0.0.8: DOSMA (prerelease)

07 Feb 19:32
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Bug Fixes

  • Issue #6 - fixed mean averaging for T2 scans

Feature update

  • support segmentation and analysis for meniscus and tibial cartilage

v0.0.7

26 Oct 23:15
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v0.0.7 Pre-release
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medial-lateral scanning direction is correctly taken into account

v0.0.6: Bug fixes for femoral cartilage

24 Oct 04:24
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This release fixes bugs in analyzing the femoral cartilage

Bug

  • Medial and lateral divisions not accurate when femoral cartilage is not centered -> Fixed

v0.0.5

23 Oct 03:31
550ab98
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v0.0.5 Pre-release
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Add bilateral knee support

v0.0.4

18 Oct 16:18
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v0.0.4 Pre-release
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Updates

  • Quantitative value (t1-rho, t2, t2*) visualizations are clipped at upper and lower bounds unique for each value to compare color maps. Upper and lower bounds are determined by tissue type (e.g. femoral cartilage) and quantitative value (e.g. t1-rho, t2, t2*)

  • Add support for downsampling slice in z-dimension

v0.0.3: MSK knee pipeline

08 Oct 05:14
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Features:

  • segment DESS images using unet model trained on OAI dataset - not segmentation accuracy has not been quantified
  • register cubequant and cones sequence scans to DESS
  • calculate T2, T1rho, and T2* using DESS, Cubequant, and Cones respectively
  • 2D visualization maps for femoral cartilage
  • save quantitative values to excel file

v0.0.2

06 Oct 18:47
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v0.0.2 Pre-release
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updated README

v0.0.1: initial pipeline for MRI image processing

05 Oct 21:27
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This pipeline supports image processing of DESS, Cubequant, and Cones imaging of MSK knee images