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Based on a segmented MRI dataset of a normal subject (100 structures)including the ability to simulate rigid motion of the brain(3 translation, 3 rotation).

(Re)compile usingmake, or useCMake (e.g. forVisual Studio).Then rundncat_bin (without arguments) for help:

$ make$ ./dncat_binProgram to produce voxelised phantoms from NURBS torso file inputUsage:  ./dncat_bin [options]<gen_par><out_base>Options:  -x X  translationin mm  -y Y  translationin mm  -z Z  translationin mm  -X X  rotationin degrees  -Y Y  rotationin degrees  -Z Z  rotationin degreesArguments:<gen_par>: general parameter filename. Note that start_slice should be                an even number> 1 to avoid artefacts.<out_base>: base stringfor output files

./dncat_bin test.par resulting_image1

will create a128x128x128 sample brain image (seetest.parfor definitions). The values we have used in this particular example aresomewhat close to a typical anatomic MR study (but this may need to bebetter tuned and double-checked for the various regions).

• Paul Segars 2006-09-03
• Casper da Costa-Luis (casperdcl) 2017-05

Original can be downloaded fromhere.

Please reference the following work (in which the construction of thephantom has been more elaborately mentioned):

1. Rahmim, K. Dinelle, J. C. Cheng, M. A. Shilov, W. P. Segars, S. C. Lidstone, S. Blinder, O. G. Rousset, H. Vajihollahi, B. M. W. Tsui, D. F. Wong, and V. Sossi, "Accurate event-driven motion compensation in high-resolution PET incorporating scattered and random events", IEEE Trans. Med. Imag., vol. 27, pp. 1018-1033, 2008.