Anatomy-assisted direct parametric PET imaging for myocardial blood flow abnormality detection

Wei Deng, Xinhui Wang, Bao Yang, Jing Tang

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

Abstract

Dynamic myocardial perfusion (MP) PET imaging followed by tracer kinetic modeling provides quantitative measurement of myocardial blood flow (MBF). The purpose of this study is to incorporate anatomical information in the 4D direct parametric image reconstruction and to evaluate the performance in detecting regional MBF abnormality. The one-tissue compartment model was formulated in the maximum likelihood (ML) problem to relate the dynamic projection datasets directly to the kinetic parameters. A maximum a posteriori (MAP) algorithm that incorporates the joint entropy (JE) between the anatomic and parametric images in the reconstruction was developed. The preconditioned steepest ascent (PSA) algorithm was used to solve the ML and the JE-MAP estimation problems. Using the XCAT phantom and the patient-based organ time activity curves, we simulated two sets of dynamic MP Rb-82 PET data, one carrying normal MBF and the other with reduced MBF on a region of interest, each with 20 noise realizations. Corresponding MR images were simulated with the 3D T1-weighted sequence as specified in a clinical PET/MRI protocol. The reconstructed parametric images from the ML and the JE-MAP algorithms were compared using the tradeoff between noise and bias and the signal to noise ratio (SNR), which reflects the separability between the normal and abnormal K1 parameters. The proposed JE-MAP algorithm resulted in improved noise versus bias tradeoff compared to the ML algorithm and also demonstrated better performance in the regional abnormal MBF detection task.

Original languageEnglish (US)
Title of host publication2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398626
DOIs
StatePublished - Oct 3 2016
Externally publishedYes
Event2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 - San Diego, United States
Duration: Oct 31 2015Nov 7 2015

Other

Other2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
CountryUnited States
CitySan Diego
Period10/31/1511/7/15

ASJC Scopus subject areas

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

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  • Cite this

    Deng, W., Wang, X., Yang, B., & Tang, J. (2016). Anatomy-assisted direct parametric PET imaging for myocardial blood flow abnormality detection. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 [7582181] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2015.7582181