Effect of de-noising and DDRV correction on cone-beam SPECT reconstruction with non-uniform attenuation

Hao Zhang*, Junhai Wen, Wen Yin, Cuifen Li, Kangping Zhang, Zhengrong Liang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

SPECT (single photon emission computed tomography) is a non-invasive, cost-effective means for assessment of tissue/organ functions in nuclear medicine. For more accurate diagnosis, quantitative reconstruction of radiotracer concentration at any location inside the body is desired. To achieve this goal, we have to address a number of factors that significantly degrade the acquired projection data. The cone-beam SPECT system has higher resolution comparing with parallel-beam and fan-beam SPECT, which is highly advantageous in small object detection. In this paper, we used four analytical reconstruction schemes for cone-beam SPECT that allow simultaneous compensation for non-uniform attenuation and distance-dependent resolution variation (DDRV), as well as accurate treatment of Poisson noise. The simulation results show that the reconstruction scheme 1 and 4 both can obtain good reconstruction results.

Original languageEnglish
Title of host publicationMedical Imaging 2011
Subtitle of host publicationPhysics of Medical Imaging
DOIs
Publication statusPublished - 2011
EventMedical Imaging 2011: Physics of Medical Imaging - Lake Buena Vista, FL, United States
Duration: 13 Feb 201117 Feb 2011

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7961
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2011: Physics of Medical Imaging
Country/TerritoryUnited States
CityLake Buena Vista, FL
Period13/02/1117/02/11

Keywords

  • Poisson noise, DDRV
  • SPECT
  • cone-beam
  • non-uniform attenuation
  • reconstruction

Fingerprint

Dive into the research topics of 'Effect of de-noising and DDRV correction on cone-beam SPECT reconstruction with non-uniform attenuation'. Together they form a unique fingerprint.

Cite this