Erik Bieging
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Erik Bieging, MD, MS

Languages spoken: English

Clinical Locations

Veterans Administration Medical Center

Salt Lake City
801-582-1565

  • Erik Bieging, M.D., is an Assistant Professor of Internal Medicine with a primary appointment in the Division of Cardiology and adjunct appointment in the Department of Radiology. His primary clinical practice is at the Salt Lake City VA Medical Center. In addition to general cardiology practice, he specializes in advanced cardiac imaging including cardiac MR, cardiac CT, nuclear cardiology, and echocardiography. His research interests focus on clinical use of novel image processing methods for cardiac MR and CT.

    Dr. Bieging earned his B.S. and M.S. in biomedical engineering from the University of Wisconsin – Madison where he studied medical image science. He earned his M.D. from the University of Wisconsin School of Medicine and Public Health in 2012. He completed residency in Internal Medicine at the University of Utah in 2015. He continued at the University of Utah, completing subspecialty training in Advanced Cardiac Imaging in 2016 and Cardiology in 2019. He joined the Division of Cardiology at the Salt Lake City VA after completing his training.

    Specialties

    Board Certification

    American Board of Internal Medicine
    American Board of Internal Medicine (Sub: Cardiovascular Disease)
    Certification Board of Cardiovascular Computed Tomography
    Certification Board of Cardiovascular Magnetic Resonance
    Certification Board of Nuclear Cardiology
    National Board of Echocardiography

  • Erik Bieging, M.D., is an Assistant Professor of Internal Medicine with a primary appointment in the Division of Cardiology and adjunct appointment in the Department of Radiology. His primary clinical practice is at the Salt Lake City VA Medical Center. In addition to general cardiology practice, he specializes in advanced cardiac imaging including cardiac MR, cardiac CT, nuclear cardiology, and echocardiography. His research interests focus on clinical use of novel image processing methods for cardiac MR and CT.

    Dr. Bieging earned his B.S. and M.S. in biomedical engineering from the University of Wisconsin – Madison where he studied medical image science. He earned his M.D. from the University of Wisconsin School of Medicine and Public Health in 2012. He completed residency in Internal Medicine at the University of Utah in 2015. He continued at the University of Utah, completing subspecialty training in Advanced Cardiac Imaging in 2016 and Cardiology in 2019. He joined the Division of Cardiology at the Salt Lake City VA after completing his training.

    Board Certification and Academic Information

    Academic Departments Internal Medicine -Primary
    Radiology & Imaging Sciences -Adjunct
    Academic Divisions Cardiovascular Medicine
    Board Certification
    American Board of Internal Medicine
    American Board of Internal Medicine (Sub: Cardiovascular Disease)
    Certification Board of Cardiovascular Computed Tomography
    Certification Board of Cardiovascular Magnetic Resonance
    Certification Board of Nuclear Cardiology
    National Board of Echocardiography

    Education history

    Fellowship Cardiovascular Disease - University of Utah School of Medicine Fellow
    Fellowship Advanced Cardiac Imaging - University of Utah School of Medicine Fellow
    Residency Internal Medicine - University of Utah School of Medicine Resident
    Professional Medical Medicine - University of Wisconsin-Madison School of Medicine and Public Health Doctor of Medicine M.D.
    Graduate Training Biomedical Engineering - University of Wisconsin-Madison M.S.
    Undergraduate Biomedical Engineering, with Distinction - University of Wisconsin-Madison B.S.

    Selected Publications

    Journal Article

    1. Sobieski C, Herner M, Goyal N, Khor LL, Chang L, Bieging E, McGarry TJ (2022). Pericardial Decompression Syndrome After Drainage of Chronic Pericardial Effusions. JACC Case Rep, 4(22), 1515-1521. (Read full article)
    2. Bieging ET, Morris A, Chang L, Dagher L, Marrouche NF, Cates J (2021). Statistical shape analysis of the left atrial appendage predicts stroke in atrial fibrillation. Int J Cardiovasc Imaging, 37(8), 2521-2527. (Read full article)
    3. Bieging ET, Morris A, Wilson BD, McGann CJ, Marrouche NF, Cates J (2018). Left atrial shape predicts recurrence after atrial fibrillation catheter ablation. J Cardiovasc Electrophysiol, 29(7), 966-972. (Read full article)
    4. Bieging ET, Haider I, Adluru G, Chang L, Suksaranjit P, Likhite D, Shaaban A, Jensen L, Wilson BD, McGann CJ, DiBella E (2017). Rapid rest/stress regadenoson ungated perfusion CMR for detection of coronary artery disease in patients with atrial fibrillation. Int J Cardiovasc Imaging, 33(11), 1781-1788. (Read full article)
    5. Suksaranjit P, McGann CJ, Akoum N, Biskupiak J, Stoddard GJ, Kholmovski EG, Navaravong L, Rassa A, Bieging E, Chang L, Haider I, Marrouche NF, Wilson BD (2016). Prognostic Implications of Left Ventricular Scar Determined by Late Gadolinium Enhanced Cardiac Magnetic Resonance in Patients With Atrial Fibrillation. Am J Cardiol, 118(7), 991-7. (Read full article)
    6. Cates J, Bieging E, Morris A, Gardner G, Akoum N, Kholmovski E, Marrouche N, McGann C, MacLeod RS (2015). Computational Shape Models Characterize Shape Change of the Left Atrium in Atrial Fibrillation. Clin Med Insights Cardiol, 8(Suppl 1), 99-109. (Read full article)
    7. Suksaranjit P, Akoum N, Kholmovski EG, Stoddard GJ, Chang L, Damal K, Velagapudi K, Rassa A, Bieging E, Challa S, Haider I, Marrouche NF, McGann CJ, Wilson BD (2015). Incidental LV LGE on CMR Imaging in Atrial Fibrillation Predicts Recurrence After Ablation Therapy. JACC Cardiovasc Imaging, 8(7), 793-800. (Read full article)
    8. Bieging ET, Frydrychowicz A, Wentland A, Landgraf BR, Johnson KM, Wieben O, Franois CJ (2011). In vivo three-dimensional MR wall shear stress estimation in ascending aortic dilatation. J Magn Reson Imaging, 33(3), 589-97. (Read full article)
    9. Zhang Y, Bieging E, Tsui H, Jiang JJ (2008). Efficient and effective extraction of vocal fold vibratory patterns from high-speed digital imaging. J Voice, 24(1), 21-9. (Read full article)
    10. Jiang JJ, Zhang Y, Kelly MP, Bieging ET, Hoffman MR (2008). An automatic method to quantify mucosal waves via videokymography. Laryngoscope, 118(8), 1504-10. (Read full article)
    11. Zhang Y, Jiang JJ, Tao C, Bieging E, MacCallum JK (2008). Quantifying the complexity of excised larynx vibrations from high-speed imaging using spatiotemporal and nonlinear dynamic analyses. Chaos, 17(4), 043114. (Read full article)