Nonrigid registration-based coronary artery motion correction for cardiac computed tomography
2012; Wiley; Volume: 39; Issue: 7Part1 Linguagem: Inglês
10.1118/1.4725712
ISSN2473-4209
AutoresRoshni Bhagalia, Jed D. Pack, James V. Miller, Maria Iatrou,
Tópico(s)Medical Imaging Techniques and Applications
ResumoMedical PhysicsVolume 39, Issue 7Part1 p. 4245-4254 Radiation imaging physics Nonrigid registration-based coronary artery motion correction for cardiac computed tomography Roshni Bhagalia, Roshni Bhagalia GE Global Research, Niskayuna, New York 12309 Author to whom correspondence should be addressed. Electronic mail: [email protected]Search for more papers by this authorJed D. Pack, Jed D. Pack GE Global Research, Niskayuna, New York 12309 Electronic mail: [email protected]Search for more papers by this authorJames V. Miller, James V. Miller GE Global Research, Niskayuna, New York 12309 Electronic mail: [email protected]Search for more papers by this authorMaria Iatrou, Maria Iatrou GE Healthcare, Hoboken, New Jersey 07030 Electronic mail: [email protected]Search for more papers by this author Roshni Bhagalia, Roshni Bhagalia GE Global Research, Niskayuna, New York 12309 Author to whom correspondence should be addressed. Electronic mail: [email protected]Search for more papers by this authorJed D. Pack, Jed D. Pack GE Global Research, Niskayuna, New York 12309 Electronic mail: [email protected]Search for more papers by this authorJames V. Miller, James V. Miller GE Global Research, Niskayuna, New York 12309 Electronic mail: [email protected]Search for more papers by this authorMaria Iatrou, Maria Iatrou GE Healthcare, Hoboken, New Jersey 07030 Electronic mail: [email protected]Search for more papers by this author First published: 22 June 2012 https://doi.org/10.1118/1.4725712Citations: 40 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract Purpose: X-ray computed tomography angiography (CTA) is the modality of choice to noninvasively monitor and diagnose heart disease with coronary artery health and stenosis detection being of particular interest. Reliable, clinically relevant coronary artery imaging mandates high spatiotemporal resolution. However, advances in intrinsic scanner spatial resolution (CT scanners are available which combine nearly 900 detector columns with focal spot oversampling) can be tempered by motion blurring, particularly in patients with unstable heartbeats. As a result, recently numerous methods have been devised to improve coronary CTA imaging. Solutions involving hardware, multisector algorithms, or β-blockers are limited by cost, oversimplifying assumptions about cardiac motion, and populations showing contraindications to drugs, respectively. This work introduces an inexpensive algorithmic solution that retrospectively improves the temporal resolution of coronary CTA without significantly affecting spatial resolution. Methods: Given the goal of ruling out coronary stenosis, the method focuses on “deblurring” the coronary arteries. The approach makes no assumptions about cardiac motion, can be used on exams acquired at high heart rates (even over 75 beats/min), and draws on a fast and accurate three-dimensional (3D) nonrigid bidirectional labeled point matching approach to estimate the trajectories of the coronary arteries during image acquisition. Motion compensation is achieved by employing a 3D warping of a series of partial reconstructions based on the estimated motion fields. Each of these partial reconstructions is created from data acquired over a short time interval. For brevity, the algorithm “Subphasic Warp and Add” (SWA) reconstruction. Results: The performance of the new motion estimation–compensation approach was evaluated by a systematic observer study conducted using nine human cardiac CTA exams acquired over a range of average heart rates between 68 and 86 beats/min. Algorithm performance was based-lined against exams reconstructed using standard filtered-backprojection (FBP). The study was performed by three experienced reviewers using the American Heart Association's 15-segment model. All vessel segments were evaluated to quantify their viability to allow a clinical diagnosis before and after motion estimation–compensation using SWA. To the best of the authors' knowledge this is the first such observer study to show that an image processing-based software approach can improve the clinical diagnostic value of CTA for coronary artery evaluation. 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