Improved myocardial perfusion PET imaging with MRI learned dictionaries

Xinhui Wang, Yanhua Wang, Dong Han, Wei Deng, Leslie Ying, Jing Tang

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

Abstract

The purpose of this study is to form PET image reconstruction sparse priors based on MR image learned dictionaries in Bayesian PET image reconstruction and to evaluate the performance in myocardial perfusion (MP) defect detection. A set of time activity curves representing the typical patient Rb-82 bio-distribution was applied in the analytical simulation with 2.5-min and 4.5-min cumulated activities. For each count levels, we used the 4D XCAT phantom to simulate two MP imaging datasets, one with normal MP and the other with a reduced activity region on the left ventricle. Using the SIMRI simulator, MR images were simulated with sequence specified to be 3D T1-weighted as in a clinical PET/MRI protocol. The maximum a posterior (MAP) PET image reconstruction that took dictionary-based sparse approximation of PET images as the prior was applied. Assuming that the PET and MR images can be sparsified under the same dictionary, the K-SVD algorithm was used in the dictionary learning (DL) process from the MR images. The receiver operating characteristic (ROC) analysis on the reconstructed images for perfusion defect detection was performed using a channelized Hotelling observer (CHO). The DL MAP algorithm demonstrated improved noise versus bias tradeoff compared to that from the ML algorithm and also provided better performance in the MP defect detection task.

Original languageEnglish (US)
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960972
DOIs
StatePublished - Mar 10 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014Nov 15 2014

Publication series

Name2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014

Other

OtherIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
CountryUnited States
CitySeattle
Period11/8/1411/15/14

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Improved myocardial perfusion PET imaging with MRI learned dictionaries'. Together they form a unique fingerprint.

  • Cite this

    Wang, X., Wang, Y., Han, D., Deng, W., Ying, L., & Tang, J. (2016). Improved myocardial perfusion PET imaging with MRI learned dictionaries. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 [7430778] (2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2014.7430778