List-mode maximum-likelihood reconstruction applied to positron emission mammography (PEM) with irregular sampling

Ronald H. Huesman, Gregory J. Klein, William W. Moses, Jinyi Qi, Bryan W. Reutter, Patrick R G Virador

Research output: Contribution to journalArticlepeer-review

132 Scopus citations


We present a preliminary study of list-mode likelihood reconstruction of images for a rectangular positron emission tomography (PET) specifically designed to image the human breast. The prospective device consists of small arrays of scintillation crystals for which depth of interaction is estimated. Except in very rare instances, the number of annihilation events detected is expected to be far less than the number of distinguishable events. If one were to histogram the acquired data, most histogram bins would remain vacant. Therefore, it seems natural to investigate the efficacy of processing events one at a time rather than processing the data in histogram format. From a reconstruction perspective, the new tomograph presents a challenge in that the rectangular geometry leads to irregular radial and angular sampling, and the field of view extends completely to the detector faces. Simulations are presented that indicate that the proposed tomograph can detect 8-mm-diameter spherical tumors with a tumor-to-background tracer density ratio of 3:1 using realistic image acquisition parameters. Spherical tumors of 4-mm diameter are near the limit of detectability with the image acquisition parameters used. Expressions are presented to estimate the loss of image contrast due to Compton scattering.

Original languageEnglish (US)
Pages (from-to)532-537
Number of pages6
JournalIEEE Transactions on Medical Imaging
Issue number5
StatePublished - May 2000

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics


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