Anatomy assisted MAP-EM PET image reconstruction incorporating joint entropies of wavelet subband image pairs

Jing Tang, Arman Rahmim

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

Abstract

A promising approach in PET image reconstruction is to incorporate high resolution anatomical information (measured from MR or CT) taking the anato-functional mutual information (MI) or its joint entropy (JE) as the prior. The MI or JE of the images only classify voxels based on intensity, while neglecting structural spatial information. In this work, we have implemented an anatomy assisted MAP-EM algorithm wherein the JE measure is supplied by spatial information generated using wavelet analysis. This approach has the benefit of utilizing some theoretical advantages of wavelets, including the ability to decompose an image of certain size into downsampled subbands. The proposed MAP-EM algorithm involves calculation of derivatives of the subband JE measures with respect to PET image intensities, which we have shown can be computed very similar to how inverse wavelet transform is performed. Using simulations of a mathematical human brain phantom with activities generated based on a clinical FDG study, it was observed that compared to conventional EM reconstruction, the proposed MAP-EM algorithm exhibited improved quantitative performance.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium Conference Record
Pages3741-3745
Number of pages5
DOIs
StatePublished - 2009
Event2009 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2009 - Orlando, FL, United States
Duration: Oct 25 2009Oct 31 2009

Other

Other2009 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2009
CountryUnited States
CityOrlando, FL
Period10/25/0910/31/09

Fingerprint

Computer-Assisted Image Processing
anatomy
Entropy
image reconstruction
Anatomy
Joints
entropy
Wavelet Analysis
wavelet analysis
brain
Brain
high resolution
simulation

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Cite this

Tang, J., & Rahmim, A. (2009). Anatomy assisted MAP-EM PET image reconstruction incorporating joint entropies of wavelet subband image pairs. In IEEE Nuclear Science Symposium Conference Record (pp. 3741-3745). [5401877] https://doi.org/10.1109/NSSMIC.2009.5401877

Anatomy assisted MAP-EM PET image reconstruction incorporating joint entropies of wavelet subband image pairs. / Tang, Jing; Rahmim, Arman.

IEEE Nuclear Science Symposium Conference Record. 2009. p. 3741-3745 5401877.

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

Tang, J & Rahmim, A 2009, Anatomy assisted MAP-EM PET image reconstruction incorporating joint entropies of wavelet subband image pairs. in IEEE Nuclear Science Symposium Conference Record., 5401877, pp. 3741-3745, 2009 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2009, Orlando, FL, United States, 10/25/09. https://doi.org/10.1109/NSSMIC.2009.5401877
Tang, Jing ; Rahmim, Arman. / Anatomy assisted MAP-EM PET image reconstruction incorporating joint entropies of wavelet subband image pairs. IEEE Nuclear Science Symposium Conference Record. 2009. pp. 3741-3745
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