Anita Mahadevan-Jansen, Ph.D.

Anita
Mahadevan-Jansen
Ph.D
Orrin H. Ingram Professor of Biomedical Engineering
School of Engineering
Professor
Neurological Surgery
Director of Undergraduate Studies
Biomedical Engineering
Director
Vanderbilt Biophotonics Center
Phone
(615)343-4787

A Sengupta, S Agarwal, PK Gupta, S Ahlawat, R Patir, RK Gupta, A Singh. On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI.European journal of radiology 106, 199-20

A Sengupta, RK Gupta, A Singh.Evaluation of B 1 inhomogeneity effect on DCE-MRI data analysis of brain tumor patients at 3T.Journal of translational medicine 15 (1), 242

Anirban Sengupta, Anandh K. Ramaniharan,Rakesh K Gupta, Sumeet Agarwal.Glioma Grading Using a Machine?Learning Framework Based on Optimized Features Obtained From T1 Perfusion MRI and Volumes of Tumor Components. Journal of Magnetic Resonance Imaging. https://doi.org/10.1002/jmri.26704

Sengupta A, Sahoo P, Gupta P, Gupta RK, Singh A. T1 mapping using 3-point FSE and multi-flip-angle methods and effect of B1 field inhomogeneity on T1 in human brain on 3T MRI scanner. ESMRMB Annual Scientific Meeting 2016, Vienna. PN-202

Sengupta A, Gupta RK, Agarwal S and Singh A. A Machine Learning Based Approach for Fast T1 estimation with Improved Accuracy. ISMRM: 25th Annual Meeting & Exhibition-2017, Honolulu, USA, (Proc.Intl.Soc.Mag.Reson.Med. 25(2017), Page Nu-39

anita.mahadevan-jansen@vanderbilt.edu

I am interested in biomedical Image and signal processing, combined with different machine learning techniques to aid in clinical diagnosis and treatment procedures of various diseases.

At VUIIS, I am trying to analyze the intrinsic functional connectivity of the spinal cord of non-human primates, using the Local field Potential signal . In particular, I am trying to do data-driven analysis for analyzing the intrinsic functional connectivity of the spinal cord. Also, in another project I am involved in applying machine learning methods to differentiate between different stages of Alzeihmer's using White matter resting state connectivity obtained using fMRI.

Hakmook Kang, Ph.D.

Hakmook
Kang
Ph.D
Associate Professor
Biostatistics
Director, IDDRC Biostatistics and Bioinformatics Core
Vanderbilt Kennedy Cente
Associate Director for Graduate Studies
Data Science institute
Phone
(615)343-1906

Kang, H., Ombao, H., Linkletter, C., Long, N., Badre, D. (2012). Spatio-spectral mixed effects model for functional magnetic resonance imaging data. Journal of American Statistical Association, 107(498), 568-577.

Gongvatana, A., Cohen, R.A., Correia, S., Devlin, K.N., Miles, J., Kang, H., Ombao, H., Navia, B., Laidlaw, D.H., Tashima, K.T. (2011). Clinical contributors to cerebral white matter integrity in HIV-infected individuals. Journal of Neurovirology, 17(5), 477-486

hakmook.kang@vanderbilt.edu

My research interests include spatio-temporal modeling, multiple testing problems,  and their applications to imaging data, in particular, fMRI images.  I am also interested in multi-modal imaging data analysis, e.g., fMRI and DTI.

My current research focuses on investigating the effect of insulin detemir on longitudinal changes in reward circuitry and resting-state functional connectivity of the brain by using spatio-temporal models and the Likelihood Paradigm which is known to better control Type I and II error rates.

E. Duco Jansen, Ph.D.

E. Duco
Jansen
Ph.D
Professor
Biomedical Engineering, Neurological Surgery
Senior Associate Dean for Graduate Education and Affairs
Vanderbilt University School of Engineering
Phone
(615)343-1911

Jenkins MW, Duke AR, Gu S, Chiel HJ, Watanabe M, Jansen ED, Rollins AM Optical pacing of the embryonic heart Nature Photonics, Sept, Vol. 4: 623-6; doi:10.1038/nphoton.2010.166 (2010).

Wilmink GJ, Opalenik SR, Nanney LB, Mahadevan-Jansen A, Davidson JM, Jansen ED Molecular Imaging-Assisted Optimization of Hsp70 Expression During Laser Preconditioning for Wound Repair Enhancement J Invest Derm 129, 205 - 216 (2009).

Wilmink GJ, Opalenik SR, Beckham JT, Mackanos MA, Nanney LB, Contag CH, Davidson JM, Jansen ED In-vivo optical imaging of hsp70 expression to assess collateral tissue damage associated with infrared laser ablation of skin J Biomed Opt 13, 054066 (2

Wilmink GJ, Opalenik SR, Beckham JT, Davidson JM, Jansen ED - Assessing laser-tissue damage with bioluminescent imaging J Biomed Optics 11:041114 (2006).

Wells JD, Kao C, Mariappan K, Albea J, Jansen ED, Konrad P, Mahadevan-Jansen A - Optical stimulation of neural tissue in vivo - Optics Letters 30(5): 504-6 (2005).

duco.jansen@vanderbilt.edu

Having worked in the area of light-tissue interactions for over 20 years, my laboratory is interested in the development and application of lasers and optical technologies to solve problems in medicine and biology. Our efforts cover a range of activities from using lasers as therapeutic modalities, developing and applying novel optical imaging technologies and using optical spectroscopy for sensing and diagnosis.

The primary focus areas of my laboratory are include: 1) research focused on development and application of optical imaging technologies, in particular bioluminescence imaging; 2) fundamental studies of tissue optics and light-tissue interactions (especially ultrashort pulse tissue ablation); and 3) the development of optical neural interfaces. In particular the latter, currently the main focus in the lab, includes the development of novel ways to use light to exchange information with the neural system. This encompasses device development, studying the underlying neurobiological mechanisms, development of optically-based prosthetic devices and translating this technology to the clinic.

Yuankai Huo, Ph.D.

Yuankai
Huo
Ph.D
Assistant Professor
Computer Science, Computer Engineering
yuankai.huo@vanderbilt.edu

Large-scale Medical Image Analyses, Machine Learning, Image Processing

(1) Whole brain segmentation and surface reconstruction, (2) AbdominaL organ segmentation, (3) Lung cancer detection, (4) Heart segmentation and CAC detection, (5) Traumatic brain injury.

Stephan Heckers,MD, MSc

Stephan
Heckers
MD, MSc
Professor & Chair
Department of Psychiatry and Behavioral Sciences
William P. and Henry B. Test Chair
Schizophrenia Research Vanderbilt University
Phone
(615)322-2665

Talati P, Rane S, Kose S, Gore J, Heckers S.
Anterior-posterior cerebral blood volume gradient in human subiculum. Hippocampus 2014, 24:503-509. PMID: 24677295.

Sheffield JM, Williams LE, Woodward ND, Heckers S.
Reduced gray matter volume in psychotic disorder patients with a history of childhood sexual abuse. Schizophrenia Research 2013; 143:185-191. PMID: 23178105.

Williams LE, Blackford JU, Luksik A, Gauthier I, Heckers S.
Reduced habituation in patients with schizophrenia. Schizophrenia Research 2013; 151:124-132. PMID: 24200419.

Avery SN, Williams LE, Woolard AA, Heckers S.
Relational memory and hippocampal function in psychotic bipolar disorder. European Archives of Psychiatry and Clinical Neuroscience 2013 Sep 11. [Epub ahead of print] PMID: 24022592.

Ongur D, Cullen TJ, Wolf DH, Rohan M, Barreira P, Zalesak M, Heckers S.
The neural basis of relational memory of deficits in schizophrenia. Archives of General Psychiatry 2006; 63: 356-365.

stephan.heckers@vanderbilt.edu

I am interested in studying the neural basis of psychotic disorders, specifically the early stages of schizophrenia, bipolar disorder and related illnesses.

My current research project include
1) Hippocampal structure and function in psychotic disorders
2) Relational memory in psychosis

Benoit Dawant, Ph.D.

Benoit
Dawant
Ph.D
Cornelius Vanderbilt Professor
Engineering
Professor
Electrical Engineering, Computer Science, Biomedical Engineering, Radiology and Radiological Sciences, Neurological Surgery, Otolaryngology-Head and Neck Surgery
Director
Vanderbilt Institute for Surgery and Engineering (VISE)
(615)322-7923
benoit.dawant@vanderbilt.edu

Laurie Cutting, Ph.D.

Laurie
Cutting
Ph.D
Professor
Radiology & Radiological Sciences, Special Education, Psychology, Pediatrics
Patricia and Rodes Hart Endowed Chair
Associate Director
Vanderbilt Kennedy Center
Phone
(615)875-1054

Swett, K., Miller, A.C., Burns, S., Hoeft, F., Davis, N., Petrill, S.A., Cutting, L.E. (2013). Comprehending expository texts: The dynamic neurobiological correlates of building a coherent text representation. Frontiers in Human Neuroscience, 1-14. PMCID: PMC3860184             

Barquero, L.A., Davis, N., & Cutting, L.E. (2014). Neuroimaging of Reading Intervention: A Systematic Review and Activation Likelihood Estimate Meta Analysis. PLOS ONE, DOI:10.1371/journal.pone.0083668.

Cutting, L.E., Clements-Stephens, A., Pugh, K.R., Burns, S., Cao, A., Pekar, J., Davis, N., & Rimrodt, S.L. (2013). Not All Reading Disabilities are Dyslexia: Distinct Neurobiology of Specific Comprehension Deficits. Brain Connectivity, 3, 199-213. PMCID: PMC3634135.

Clements-Stephens, A.M., Materek, A.D., Eason, S.H., Scarborough, H.S., Pugh, K.R., Rimrodt, S., Pekar, J.J., & Cutting, L.E. (2012). Neural circuitry associated with two different approaches to novel word learning. Developmental Cognitive Neuroscience. PMCID: PMC329524

laurie.cutting@vanderbilt.edu

I am interested in brain-behavior relationships as related to how children learn, or educational cognitive neuroscience. In our research, we use both behavioral and neuroimaging methodologies to better understand the course of normal and abnormal development in reading, oral language, and executive function.

We have a number current research projects, including a reading intervention study, a study examining reading comprehension, and a study examining Late-Emerging Reading Disabilities (LERD).  We also have studies examining biological correlates of reading with adults. 

Catie Chang, Ph.D.

Catie
Chang
Assistant Professor
Electrical & Computer Engineering, Computer Science, Biomedical Engineering
catie.chang@vanderbilt.edu

John Jeffrey Carr, MD

John
Jeffrey
Carr
MD
Professor
Radiology and Radiological Sciences, Biomedical Informatics, Medicine
Cornelius Vanderbilt Chair
Radiology & Radiological Services #12
Phone
(615)343-5343

Reis JP, Launer LJ, Terry JG, Loria CM, Zeki Al Hazzouri A, Sidney S, Yaffe K, Jacobs DR Jr, Whitlow CT, Zhu N, Carr JJ.Subclinical atherosclerotic calcification and cognitive functioning in middle-aged adults: the CARDIA study. Atherosclerosis. 2013 Nov;231(1):72-7. doi: 10.1016/j.atherosclerosis.2013.08.038. Epub 2013 Sep 10. PubMed PMID: 24125414; PubMed Central PMCID: PMC3828555.

Messier SP, Mihalko SL, Legault C, Miller GD, Nicklas BJ, DeVita P, Beavers DP, Hunter DJ, Lyles MF, Eckstein F, Williamson JD, Carr JJ, Guermazi A, Loeser RF. Effects of intensive diet and exercise on knee joint loads, inflammation, and clinical outcomes among overweight and obese adults with knee osteoarthritis: the IDEA randomized clinical trial. JAMA. 2013 Sep 25;310(12):1263-73. doi: 10.1001/jama.2013.277669. PubMed PMID: 24065013.

Reis JP, Loria CM, Lewis CE, Powell-Wiley TM, Wei GS, Carr JJ, Terry JG, Liu K. Association between duration of overall and abdominal obesity beginning in young adulthood and coronary artery calcification in middle age. JAMA. 2013 Jul 17;310(3):280-8. doi: 10.1001/jama.2013.7833. PubMed PMID: 23860986.

Carr JJ, Hendel RC, White RD, Patel MR, Wolk MJ, Bettmann MA, Douglas P, Rybicki FJ, Kramer CM, Woodard PK, Shaw LJ, Yucel EK. 2013 appropriate utilization of cardiovascular imaging: a methodology for the development of joint criteria for the appropriate utilization of cardiovascular imaging by the American College of Cardiology Foundation and American College of Radiology. J Am Coll Cardiol. 2013 May 28;61(21):2199-206. doi: 10.1016/j.jacc.2013.02.010. Epub 2013 Mar 5. Review. PubMed PMID: 23500292.

Barr RG, Bluemke DA, Ahmed FS, Carr JJ, Enright PL, Hoffman EA, Jiang R, Kawut SM, Kronmal RA, Lima JA, Shahar E, Smith LJ, Watson KE. Percent emphysema, airflow obstruction, and impaired left ventricular filling. N Engl J Med. 2010 Jan 21;362(3):217-27. doi: 10.1056/NEJMoa0808836. PubMed PMID: 20089972; PubMed Central PMCID: PMC2887729.

j.jeffrey.carr@vanderbilt.edu

My research is focused on developing quantitative imaging based biomarkers that can be used for to predict future disease risk or to support clinical decision making in populations or for personalized medicine applications.

Longitudinal Changes in Pericardial Adiposity and Subclinical Atherosclerosis - R01 HL 098445
Obesity in early life in African American and white adults is a factor in premature heart disease and cardiovascular death. We will leverage an existing study of 5,115 individuals with 25 years of follow-up to make new measurements with CT and echocardiography and determine how fat located in the heart and abdomen changes over 10 years of early adult life and influences subsequent heart disease. We are making novel measures related to the remodeling of the coronary arteries from atherosclerosis.
The Cardiovascular Research Grid (CVRG) Project - R24 HL085343
The CVRG is a national resource providing the capability to store, manage, and analyze data on the structure and function of the cardiovascular system in health and disease. The CVRG Project will develop new tools that will enhance the ability of researchers to explore and analyze their data to understand the cause and treatment of heart disease.
Skeletal Muscle Adiposity in Black Men with High Type 2 Diabetes Risk--TOBAGO
We are obtaining and analyzing 1600 CT scans from men of African origin living on the island of Tobago for coronary artery calcium, aortic artery calcium, abdominal adipose tissue volumes, abdominal muscle volumes and composition, pericardial adipose tissue, and liver attenuation. These data will be combined with clinical variables and genetic data to determine how lifestyle, environmental and genetic factors influence cardiovascular disease and diabetes.

Brett Byram, Ph.D.

Brett
Byram
Ph.D
Associate Professor
Radiology and Radiological Sciences, Biomedical Engineering
Phone
(615)343-2347

Byram, B., Jakovljevic, M. (2014). Ultrasonic Multipath and Beamforming Clutter Reduction: A Chirp Model Approach. IEEE Trans. Ultrasonics Ferroelectrics and Frequency Control, 61, 428-440.

Byram, B., Han, K., van Assche, L. Wolf, P., Trahey, G. (2014). The Feasibility of Myocardial Infarct Visualization using Atrial Kick Induced Strain (AKIS) Contrast. Ultrasound in Medicine & Biology, 40, 1104-1117.

Wang, M., Byram, B., Palmeri, M., Rouze, N., Nightingale, K. (2013). Imaging Transverse Isotropic Properties of Muscle by Monitoring Acoustic Radiation Force Induced Shear Waves using a 2D Matrix Ultrasound Array. IEEE Trans. Medical Imaging, 32, 1671-1684.

Lediju, M., Trahey, G.E., Byram, B.C. & Dahl, J.J. (2011). Short-lag spatial coherence of backscattered echoes: imaging characteristics. IEEE Trans. Ultrasonics, Ferroelectrics, & Frequency Control, 58(7), 1377-1388.

Byram, B., Holley, G., Giannantonio D., & Trahey, G.E. (2010). 3-D Phantom and In Vivo Cardiac Speckle Tracking using a Matrix Array and Raw Echo Data. IEEE Trans. Ultrasonics, Ferroelectrics and Frequency Control, 57(4), 839-854.

brett.c.byram@vanderbilt.edu

I pursue ultrasonic beamforming and elasticity solutions to clinical problems. I am also interested in coupling signal processing advances with interesting ultrasound hardware realizations.

My current beamforming efforts focus on non-linear ultrasound beamforming strategies. I am developing methods for removing clutter induced by multipath and off-axis scattering from the typical signal of interest with minimal distortion. As part of this task, I am also studying approaches to quantify the effect of various mechanisms of in vivo image degradation on perceptions of ultrasound image quality. I am also developing Bayesian estimators for ultrasound displacement estimation. My lab is using these new estimators to pursue new approaches to non-invasively quantify tissue elasticity, especially for the liver. These elasticity approaches have the potential to enable more flexible and lower cost elasticity measurement tools.

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