MR-based attenuation correction for PET/MRI neurological studies with continuous-valued attenuation coefficients for bone through a conversion from R2* to CT-Hounsfield units
Juttukonda, M. R., Mersereau, B. G., Chen, Y., Su, Y., Rubin, B. G., Benzinger, T. L. S., … An, H. (2015, March 14). NeuroImage, Vol. 112, pp. 160–168.
MeSH headings : Adipose Tissue / anatomy & histology; Aged; Air; Algorithms; Aniline Compounds; Bone and Bones / anatomy & histology; Bone and Bones / diagnostic imaging; Brain / anatomy & histology; Brain / diagnostic imaging; Ethylene Glycols; Female; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging / methods; Magnetic Resonance Imaging / statistics & numerical data; Male; Middle Aged; Neuroimaging / statistics & numerical data; Positron-Emission Tomography / methods; Positron-Emission Tomography / statistics & numerical data; Radiopharmaceuticals; Skull / anatomy & histology; Skull / diagnostic imaging
topics (OpenAlex): Medical Imaging Techniques and Applications; Advanced MRI Techniques and Applications; Radiomics and Machine Learning in Medical Imaging
TL;DR:
The proposed CAR-RiDR method closely approaches (<3% error) the gold standard CT-scaled method in PET reconstruction accuracy and provides a low whole-brain mean absolute percent-error in PET reconstructions across subjects.
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