Linear quantification correction for myocardial perfusion imaging from x-ray coronary angiography

Jingwu Yao, Takuya Sakaguchi, Omair Yousuf, Jeff Trost, Joao A.C. Lima, Takashi Ichihara, Richard George

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

Abstract

Myocardial perfusion imaging from x-ray coronary angiography is important with clinical benefits because online real-time assessment of myocardial blood flow can promote the clinical outcomes of interventional treatments for coronary artery disease. In this paper, we aim at the nonlinearity problem of contrast image measurements for the perfusion estimation, since x-ray nonlinear responses of iodinated contrast agent is always an important concern when lacking of x-ray depth information on 2D angiography. A new approach is developed to perform linear quantification correction to angiographic measurements in terms of iodine concentration for estimated body thickness. We recognize the causes of nonlinear measurements from three different sources, that is, image processing artifacts of background subtraction, x-ray physics causes of beam hardening, photon scattering and detector glare if image intensifier applied, as well as clinical application issue of residual contrast agents in myocardium during cardiac catheterization heart procedure. Correspondingly, the developed approach involves three countermeasures to handle the three nonlinear sources. In order to compensate the registration artifacts of background subtraction, the technique of layer image processing is applied to compensate the different cardiac and breathing motions. A prior phantom-based calibration is implemented to make a lookup table of correction models. A polynomial model selected from the table is used online to correct the nonlinear measurements due to x-ray physics causes. For the effect of residual contrast agent, a new workflow of triple background subtractions is proposed by introducing an initial background image. Finally, the proposed approach is validated with pre-clinical studies of porcine models.

Original languageEnglish (US)
Title of host publication2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
Pages2977-2982
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012 - Anaheim, CA, United States
Duration: Oct 29 2012Nov 3 2012

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Other

Other2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
CountryUnited States
CityAnaheim, CA
Period10/29/1211/3/12

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Linear quantification correction for myocardial perfusion imaging from x-ray coronary angiography'. Together they form a unique fingerprint.

  • Cite this

    Yao, J., Sakaguchi, T., Yousuf, O., Trost, J., Lima, J. A. C., Ichihara, T., & George, R. (2012). Linear quantification correction for myocardial perfusion imaging from x-ray coronary angiography. In 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012 (pp. 2977-2982). [6551680] (IEEE Nuclear Science Symposium Conference Record). https://doi.org/10.1109/NSSMIC.2012.6551680