@inproceedings{b152618d3eb44f57a168124a70288b8e,
title = "Coronary calcium visualization using dual energy chest radiography with sliding organ registration",
abstract = "Coronary artery calcification (CAC) is the lead biomarker for atherosclerotic heart disease. We are developing a new technique to image CAC using ubiquitously ordered, low cost, low radiation dual energy (DE) chest radiography (using the two-shot GE Revolution XRd system). In this paper, we proposed a novel image processing method (CorCalDx) based on sliding organ registration to create a bone-image-like, coronary calcium image (CCI) that significantly reduces motion artifacts and improves CAC conspicuity. Experiments on images of a physical dynamic cardiac phantom showed that CorCalDx reduced 73% of the motion artifact area as compared to standard DE over a range of heart rates up to 90 bpm and varying x-ray radiation exposures. Residual motion artifact in the phantom CCI is greatly suppressed in gray level and area (0.88% of the heart area). In a Functional Measurement Test (FMT) with 20 clinical exams, image quality improvement of CorCalDx against standard DE (measured from -10 to +10) was significantly suggested (p<0.0001) by three radiologists for cardiac motion artifacts (7.2±2.1) and cardiac anatomy visibility (6.1±3.5). CorCalDx was always chosen best in every image tested. In preliminary assessments of 12 patients with 18 calcifications, 90% of motion artifact regions in standard DE results were removed in CorCalDx results, with 100% sensitivity of calcification detection, showing great potential of CorCalDx to improve CAC detection and grading in DE chest radiography.",
keywords = "Coronary artery calcification, Dual energy chest radiography, Motion artifact, Sliding organ registration",
author = "Di Wen and Katelyn Nye and Bo Zhou and Gilkeson, {Robert C.} and Wilson, {David L.}",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Medical Imaging 2016: Image Processing ; Conference date: 01-03-2016 Through 03-03-2016",
year = "2016",
doi = "10.1117/12.2216436",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Styner, {Martin A.} and Angelini, {Elsa D.} and Angelini, {Elsa D.}",
booktitle = "Medical Imaging 2016",
}