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Pushbutton 4D Flow Imaging

Pruitt, Aaron Andrew
http://orcid.org/0000-0003-1139-9400
http://rave.ohiolink.edu/etdc/view?acc_num=osu1638545306745391

Abstract Details

2021, Doctor of Philosophy, Ohio State University, Biomedical Engineering.
Cardiovascular heart disease (CVD) is the leading cause of mortality in the U.S. and worldwide. Over the past several decades, the healthcare costs associated with CVD have steadily risen to more than 200 billion dollars per year and are expected to rise further with the aging population. Cardiovascular MRI (CMR) is a well-established imaging technique that provides the most comprehensive evaluation of the cardiovascular system. CMR is considered the gold standard for evaluating ventricular function and myocardial viability. Despite the growing evidence of its advantages over other imaging modalities and its potential as a “one-stop-shop” diagnostic tool, the role of CMR in clinical cardiology remains limited. One major impediment to its wider usage is the inefficient acquisition that makes CMR exams excessively long, often lasting for more than an hour; this diminishes its efficiency and cost-effectiveness relative to other imaging modalities. The current paradigm offers either a prolonged segmented acquisition that requires regular cardiac rhythm and multiple breath-holds or a fallback option of real-time, free-breathing acquisition with degraded spatial and temporal resolutions. Recently, 3D imaging has gained significant interest due to its volumetric coverage and isotropic resolution. In particular, 4D flow imaging has emerged as a powerful tool that provides temporally and spatially resolved velocity maps of the blood in the heart and great vessels. A major technical limitation of 4D flow imaging is the long acquisition, which makes the images susceptible to motion artifacts. In this work, we present a framework that provides a whole-heart coverage and enables a rapid, quantitative assessment of hemodynamics. In addition, the method employs self-gating and thus extracts and compensates the physiological motions from the information in the MRI data itself, obviating the need to utilize electrocardiogram or respiratory gating. Novel extensions of the method, where it is paired with Pilot Tone-guided data binning, exercise stress, and ferumoxytol enhancement are also proposed. To improve the quantification of flow, a method to offset the nuisance background phase is also integrated into the framework. The techniques presented in this work are validated using data from a pulsatile flow phantom or human volunteers.
Rizwan Ahmad (Advisor)
Rengasayee Veeraraghavan (Committee Member)
Orlando Simonetti (Committee Member)
Jun Liu (Committee Member)
153 p.
Biomedical Engineering; Medical Imaging
Cardiovascular MRI; medical imaging; CMR; phase-contrast; hemodynamics; 4D flow; 5D flow; self-gating; soft-gating; physiological motion; motion correction; respiratory-resolved; undersampling; compressed sensing; Bayesian; eddy currents; background phase correction; Pilot Tone; exercise stress; ferumoxytol; contrast agent; Cartesian

Recommended Citations

Citations

  • Pruitt, A. A. (2021). Pushbutton 4D Flow Imaging [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1638545306745391

    APA Style (7th edition)

  • Pruitt, Aaron. Pushbutton 4D Flow Imaging. 2021. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1638545306745391.

    MLA Style (8th edition)

  • Pruitt, Aaron. "Pushbutton 4D Flow Imaging." Doctoral dissertation, Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1638545306745391

    Chicago Manual of Style (17th edition)

osu1638545306745391
116
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This open access ETD is published by The Ohio State University and OhioLINK.