Erik Bieging
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Erik Bieging, MD, MS

Languages spoken: English

Clinical Locations

Primary Location

Veterans Administration Medical Center

500 S Foothill Blvd
Salt Lake City , UT 84148
801-582-1565
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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

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

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

Education history

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

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.
  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.
  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.
  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.
  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.
  6. 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.
  7. 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.
  8. Bieging ET, Frydrychowicz A, Wentland A, Landgraf BR, Johnson KM, Wieben O, François CJ (2011). In vivo three-dimensional MR wall shear stress estimation in ascending aortic dilatation. J Magn Reson Imaging, 33(3), 589-97.
  9. Zhang Y, Bieging E, Tsui H, Jiang JJ (2010). Efficient and effective extraction of vocal fold vibratory patterns from high-speed digital imaging. J Voice, 24(1), 21-9.
  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.
  11. Zhang Y, Jiang JJ, Tao C, Bieging E, MacCallum JK (2007). Quantifying the complexity of excised larynx vibrations from high-speed imaging using spatiotemporal and nonlinear dynamic analyses. Chaos, 17(4), 043114.