Projects per year
Personal profile
Personal profile
After completing his postdoctoral training in 2000, Dr. Karmonik joined the faculty at the Baylor College of Medicine in Houston, Texas as Instructor in the Department of Medicine. He became an Assistant Professor in the Department of Radiology there in 2002. In addition to his academic appointments, Dr. Karmonik was also a senior software engineer for the Schlumberger Companies. He joined Houston Methodist Hospital and Research Institute in 2005.
Research interests
Dr. Karmonik’s research focuses on enhancing information in medical images by optimized acquisition techniques and advanced post-processing algorithms. Applications include visualization and quantification of hemodynamics in cerebral aneurysms to optimize outcome after flow diverter treatment using 4D phase contrast MRI and computational fluid dynamics together with 3D printing technology, understanding flow changes in the ascending aorta in patients with left ventricular flow devices and probing functional connectivity in the brain in health and disease.
Education/Academic qualification
Applied Physics, Visiting Research Fellowship, National Institute of Standards and Technology
Postdoctoral Fellowship, University of Texas MD Anderson Cancer Center
Physics, MS, University of the Saarland
Physical Chemistry, PhD, University of the Saarland
Free-text keywords
- functional Magnetic Resonance
- Computational Fluid Dynamics
- Computational Surgery
- Brain imaging
- Image Processing
Research Area Keywords
- Imaging & Radiology
- Neurosciences
- Heart & Vascular
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Network
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Houston Alzheimer Disease Study HADS
Masdeu, J. C., Appel, S. H., Faridar, A., Fujita, M., Karmonik, C., Nakawah, M. O., Pascual, B., Roman, G. C. & Wong, S. T.
5/17/21 → …
Project: Clinical Trial
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MRI Guided PAD Imaging
Roy, T., Karmonik, C., Lumsden, A. B., Rivera, A. & Shah, D. J.
11/19/20 → …
Project: Clinical Trial
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Supraspinal mechanisms involved in neurogenic voiding dysfunction
Khavari, R., Boone, T. B., Helekar, S. & Karmonik, C.
8/1/20 → 7/31/22
Project: Federal Funding Agencies
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Biodegradability and Biocompatiblity of a Shape Memory Polymer Wrap to Improve Saphenous Vein Graft Patency in Peripheral and Coronary Artery Bypass Grafting Surgeries
Peden, E. K., Cooke, J. P. & Karmonik, C.
4/15/20 → 10/31/21
Project: Federal Funding Agencies
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Assessing CSF flow in glymphatics
Britz, G. W., Golanov, E. V. & Karmonik, C.
2/5/20 → …
Project: Clinical Trial
Research output
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Design, development, and temporal evaluation of a magnetic resonance imaging-compatible in vitro circulation model using a compliant abdominal aortic aneurysm phantom
Thirugnanasambandam, M., Canchi, T., Piskin, S., Karmonik, C., Kung, E., Menon, P. G., Avril, S. & Finol, E. A., May 2021, In: Journal of Biomechanical Engineering. 143, 5, 051004.Research output: Contribution to journal › Article › peer-review
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High spatial correlation in brain connectivity between micturition and resting states within bladder-related networks using 7 T MRI in multiple sclerosis women with voiding dysfunction
Shi, Z., Tran, K., Karmonik, C., Boone, T. & Khavari, R., 2021, (Accepted/In press) In: World Journal of Urology.Research output: Contribution to journal › Article › peer-review
Open Access -
Therapeutic effects of non-invasive, individualized, transcranial neuromodulation treatment for voiding dysfunction in multiple sclerosis patients: study protocol for a pilot clinical trial
Tran, K., Shi, Z., Karmonik, C., John, B., Rajab, H., Helekar, S. A., Boone, T. & Khavari, R., Dec 2021, In: Pilot and Feasibility Studies. 7, 1, 83.Research output: Contribution to journal › Article › peer-review
Open Access -
A Dual-VENC Four-Dimensional Flow MRI Framework for Analysis of Subject-Specific Heterogeneous Nonlinear Vessel Deformation
Concannon, J., Hynes, N., McMullen, M., Smyth, E., Moerman, K., McHugh, P. E., Sultan, S., Karmonik, C. & McGarry, J. P., Nov 1 2020, In: Journal of Heat Transfer. 142, 11, 114502.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
A pilot study using a machine-learning approach of morphological and hemodynamic parameters for predicting aneurysms enhancement
Lv, N., Karmonik, C., Shi, Z., Chen, S., Wang, X., Liu, J. & Huang, Q., Aug 1 2020, In: International Journal of Computer Assisted Radiology and Surgery. 15, 8, p. 1313-1321 9 p.Research output: Contribution to journal › Article › peer-review
Prizes
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Award-Winning Poster (1st Place)
Manson, G. A. (Recipient), Shi, Z. (Recipient), Karmonik, Christof (Recipient) & Sayenko, Dimitry (Recipient), Dec 6 2019
Prize: Prize (including medals and awards)