Noise reduction for cone-beam SPECT by penalized reweighted least-squares projection restoration

Hao Zhang, Junhai Wen, Donghao Shi, Rui Yang, Jing Wang, Zhengrong Liang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In single photon emission computed tomography(SPECT), the non-stationary Poisson noise in the projection data is one of the major degrading factors that jeopardize the quality of reconstructed images. In our previous researches for low-dose CT reconstruction, based on the noise properties of the log-transformed projection data, a penalized weighted least-squares (PWLS) cost function was constructed and the ideal projection data(i.e., line integral) was then estimated by minimizing the PWLS cost function. The experimental results showed the method could effectively suppress the noise without noticeable sacrifice of the spatial resolution for both fan- and cone-beam low-dose CT reconstruction. In this work, we tried to extend the PWLS projection restoration method to SPECT by redefining the weight term in PWLS cost function, because the weight is proportional to measured photon counts for transmission tomography(i.e., CT) while inversely proportional to measured photon counts for emission tomography (i.e., SPECT and PET). The iterative Gauss-Seidel algorithm was then used to minimize the cost function, and since the weight term was updated in each iteration, we refer our implementation as penalized reweighted least-squares (PRWLS) approach. The restorated projection data was then reconstructed by an analytical cone-beam SPECT reconstruction algorithm with compensation for non-uniform attenuation. Both high and low level Poisson noise was simulated in the cone-beam SPECT projection data, and the reconstruction results showed feasibility and efficacy of our proposed method on SPECT.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2013
Subtitle of host publicationPhysics of Medical Imaging
DOIs
StatePublished - Jun 3 2013
EventMedical Imaging 2013: Physics of Medical Imaging - Lake Buena Vista, FL, United States
Duration: Feb 11 2013Feb 14 2013

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8668
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2013: Physics of Medical Imaging
CountryUnited States
CityLake Buena Vista, FL
Period2/11/132/14/13

Keywords

  • Noise reduction
  • Non-uniform attenuation
  • Penalized weighted least-squares
  • Poisson noise
  • SPECT reconstruction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Noise reduction for cone-beam SPECT by penalized reweighted least-squares projection restoration'. Together they form a unique fingerprint.

  • Cite this

    Zhang, H., Wen, J., Shi, D., Yang, R., Wang, J., & Liang, Z. (2013). Noise reduction for cone-beam SPECT by penalized reweighted least-squares projection restoration. In Medical Imaging 2013: Physics of Medical Imaging [86685C] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8668). https://doi.org/10.1117/12.2007745