Penalized maximum-likelihood image reconstruction for lesion detection

Published: Aug 2, 2006
Abstract
Detecting cancerous lesions is one major application in emission tomography. In this paper, we study penalized maximum-likelihood image reconstruction for this important clinical task. Compared to analytical reconstruction methods, statistical approaches can improve the image quality by accurately modelling the photon detection process and measurement noise in imaging systems. To explore the full potential of penalized maximum-likelihood image...
Paper Details
Title
Penalized maximum-likelihood image reconstruction for lesion detection
Published Date
Aug 2, 2006
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