intra-subject; multi-resolution (4), rigid, Mutual Information metric (Mattes) with Adaptive Stochastic Gradient Descent optimizer
FOV was variable, but a typical value was about 500x500x300 mm^3 , in-plane matrix = 512x512, 3 mm slice thickness, 120 kV, exposure time = 923 ms, tube current = 121-183 mA.
it was obtained from 3D Cartesian dual Echo Dixon RF spoiled GRE, TE_1/TE_2 = 1.21/2.53 ms, TR =3.93 ms, Flip Angle = 10 deg , FOV = 477x477x300 mm^3, acquisition matrix = 248x281x120, reconstructed matrix = 480x480x120, BW = 1083 Hz and acquisition time of 2 min 13 s. The method used to generate pseudo-CT is a commercial solution called MR for Attenuation Correction (MRCAT, Philips Healthcare, Best, The Netherlands).
For parameter files see the Elastix Model Zoo repository on GitHub.
elastix version: 4.700
Command line call:
elastix -f $gipl_fix -m $gipl_mov -out $dirReg -p $Para_File_Trans >/dev/null
where $gipl_fix is the fixed image (pseudo-CT), $gipl_mov is the moving image (CT), $dirReg is the output directory, and $Para_File_Trans is the file attached in this page.
Maspero M, et al. (2017), Quantification of confounding factors in MRI-based dose calculations as applied to prostate IMRT. Phys Med Biol. 62(3)
Maspero M, Seevinck PR, Schubert G, Hoesl MA, van Asselen B, Viergever MA, Lagendijk JJ, Meijer GJ, van den Berg CA. Quantification of confounding factors in MRI-based dose calculations as applied to prostate IMRT. Physics in Medicine & Biology. 2017 Jan 11;62(3):948. doi:https://doi.org/10.1088/1361-6560/aa4fe7;
Maspero M, Savenije MH, Dinkla AM, Seevinck PR, Intven MP, Jurgenliemk-Schulz IM, Kerkmeijer LG, van den Berg CA. Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy. Physics in Medicine & Biology. 2018 Sep 10;63(18):185001. doi:https://doi.org/10.1088/1361-6560/aada6d;
Maspero M, Tyyger MD, Tijssen RH, Seevinck PR, Intven MP, van den Berg CA. Feasibility of magnetic resonance imaging-only rectum radiotherapy with a commercial synthetic computed tomography generation solution. Physics and imaging in radiation oncology. 2018 Jul 1;7:58-64. doi:https://doi.org/10.1016/j.phro.2018.09.002.
© 2020 Viktor van der Valk