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add README for Mediso_NEMA_IQ_lowcounts
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# Mediso_NEMA_IQ_lowcounts | ||
Aside from usual steps | ||
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## | ||
Copy VOIs from high count data, but with adjustement of size. KT | ||
did this via STIR utilities (but can be done via SIRF as well) | ||
``` | ||
for f in VOI*.hv; do | ||
zoom_image --template data/Mediso_NEMA_IQ_lowcounts/OSEM_image.hv data/Mediso_NEMA_IQ_lowcounts/$f $f; | ||
done | ||
``` | ||
## BSREM | ||
Given large oscillations with subsets, I reduced the number of subsets from 12 to 6 (in `dataset_settings.py`) but increased the initial step size. | ||
``` | ||
python -m SIRF_data_preparation.get_penalisation_factor --dataset=Mediso_NEMA_IQ_lowcounts --ref_dataset=Mediso_NEMA_IQ -w | ||
python -m SIRF_data_preparation.run_BSREM Mediso_NEMA_IQ_lowcounts --initial_step_size=.5 --relaxation_eta=.0105 | ||
``` |