Patient-specific SPECT imaging protocols to standardize image noise
Autor: | Duncan C. Clackdoyle, Jennifer M. Renaud, R. Glenn Wells, Sarah G. Cuddy-Walsh |
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Rok vydání: | 2019 |
Předmět: |
Photon
business.industry Iterative reconstruction 030204 cardiovascular system & hematology Patient specific 030218 nuclear medicine & medical imaging 03 medical and health sciences Noise 0302 clinical medicine Spect imaging Test set Image noise Medicine Radiology Nuclear Medicine and imaging Computer vision Artificial intelligence Sensitivity (control systems) Cardiology and Cardiovascular Medicine business |
Zdroj: | Journal of Nuclear Cardiology. 28:225-233 |
ISSN: | 1532-6551 1071-3581 |
DOI: | 10.1007/s12350-019-01664-5 |
Popis: | In addition to acquired photon counts, image noise depends on the image reconstruction algorithm. This work develops patient-specific activity or acquisition time protocols to standardize the average noise in a reconstructed image for different patients, cameras, and reconstruction algorithms. Image noise was calculated for images from 43 patients acquired on both a conventional and a multiple-pinhole cardiac SPECT camera. Functions were found to relate image noise to radiotracer activity, scan time, and body mass and were validated by normalizing the image noise in a test set of 58 patients. There was a 3.6-fold difference in photon sensitivity between the two cameras but a 16-fold difference in activity-scan time was necessary to match the noise levels. Image noise doubled from 45 to 128 kg for the conventional camera (12.8 minutes) and tripled for the multiple-pinhole camera (5 minutes) for 350 MBq (9.5 mCi) 99mTc-tetrofosmin. It was 16.3% and 6.1% respectively for an average sized patient. A linear scaling of activity with respect to the patient weight normalizes image noise but the scaling factors depend on the choice of camera and image reconstruction parameters. Therefore, equivalent numbers of acquired photon counts are not sufficient to guarantee equivalent image noise. |
Databáze: | OpenAIRE |
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