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