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Mu Map

Repository for the code to replicate the paper of Shi et al. with our SPECT/CT Scanner.

Differences

Authors Ours
SPECT/CT Scanner GE NM/CT 850 SPECT/CT Siemens Symbia Intevo 16 SPECT/CT
Scan Arc 180° 208°
Angles 60 34
Energy Window Lower 114-126 keV 110-131 keV
Energy Window Upper 126-155 keV 131-152 keV
Dose 15 mCi ?
Reconstruction OSEM (5 iterations, 4 subsets) Siemens Conjugate Gradient
CT Energy 120 kVp ?
Attenuation Map Shape (25-35)x64x64 ?
Reconstruction Shape 64x64x64 51x128x128
Voxel Size 6.8x6.8x6.8 mm³ 4.8x4.8x4.8 mm³

Open Questions

References

  • Shi et al. "Deep learning-based attenuation map generation for myocardial perfusion SPECT". 2020 In: European Journal of Nuclear Medicine and Molecular Imaging 47.10

Install

Install libraries for tomographic reconstruction:

NiftyRec

  • mkdir libs
  • cd libs
  • git clone https://github.com/TomographyLab/NiftyRec
  • cd NiftyRec
  • git checkout 5329496
  • cp README.md README.txt - this file is needed by cmake
  • mkdir build
  • cd build
  • ccmake .. - turn of the volume renderer
  • make -j 8
  • make package
  • sudo dpkg -i NiftyRec-3.1.0-Linux-x86_64.deb

TomoLab

Make sure your python virtual environment is active for this.

  • mkdir libs
  • cd libs
  • git clone https://github.com/TomographyLab/TomoLab
  • git checkout 86b9a58