David Pickens

David
Pickens
Ph.D., DABR
Associate Professor
Radiology & Radiological Sciences
Phone
(615)322-3190
david.pickens@vanderbilt.edu

I am interested in new imaging methods based on x rays, magnetic resonance, and ultrasound.  I am also interested in the clinical application of medical physics.

Current projects include phase contrast tomosynthesis, where x-ray phase contrast effects are combined with digital tomosynthesis to provide improved visualization of soft tissues, and the study of coherent scatter computed tomography, where the coherently scattered x rays are used to improve soft-tissue visualization in a cross-sectional imaging (CT) system.  Coherent scatter CT is at the stage of Monte Carlo simulation of such a system.  Both of these projects are part of a collaborative group effort.

Cynthia B. Paschal

Cynthia
B.
Paschal
Ph.D
Associate Dean
School of Engineering
Associate Professor
Biomedical Engineering
Associate Professor
Radiology & Radiological Sciences
Phone
(615)322-2029
cynthia.paschal@vanderbilt.edu

My interests have been in cardiopulmonary imaging using MRI, CT, and radionuclide techniques.  My current responsibilities center primarily on external relations " corporate and international " for the School of Engineering.

Currently, I serve as Associate Dean of the School of Engineering and am responsible for external relations both corporate and international. I am VUSE"s liaison to the Career Center and interact with employers recruiting VU students. A number of prominent corporate leaders serve on the VUSE Committee of Visitors, a group I coordinate. Internationally, I assist with the development of global relations for research and academic study and also facilitate study abroad for VUSE students. I enjoy teaching courses in systems physiology and imaging including clinical translational imaging.

Chuck Nockowski

Chuck
Nockowski
Technical Support Engineer
Philips Healthcare

I enjoy working in the Research environment and with a multidisciplinary group of people. The staff, faculty, and students keep me sharp in my troubleshooting skills and are a pleasure to work with.

charles.nockowski@phillips.com

I work for Philips Healthcare and provide technical support for the Human Imaging Core for their 7.0T Machine as well as their 3.0T Machines. I started here in 2006 as part of the collaboration project between Philips and Vanderbilt. I am part of the Customer Experience Team for the Business Information Unit (BIU) and provide level 3 support for all of North America MRI.

Michael I. Miga

Michael
I.
Miga
Ph.D
Professor
Biomedical Engineering
Professor
Radiology & Radiological Sciences
Professor
Neurological Surgery
Phone
(615)343-8336

J. A. Weis, M. I. Miga, F. Granero-Molto, and A. Spagnoli, 'A finite element inverse analysis functional improvement during the fracture healing process', Journal of Biomechanics , Vol. 43, No. 3, pp. 557-562, 2010

P. Dumpuri, R. C. Thompson, A. Cao, S. Ding, I. Garg, B. M. Dawant, and M. I. Miga, 'A fast efficient method to compensate for brain shift for tumor resection therapies measured between preoperative and postoperative tomograms', IEEE Transactions on Biome

S. L. Barnes, P. P. Young, M. I. Miga, 'A novel model-gel-tissue assay analysis for comparing tumor elastic properties to collagen content', Biomechanics and Modelling in Mechanobiology, Vol. 8, No. 4, pp. 337-343, 2009

C.C. R. Chen, M. I. Miga, and R. L. Galloway, 'Optimizing electrode placement using finite-element models in radiofrequency ablation treatment planning', IEEE Transactions on Biomedical Engineering, Vol. 56, No. 2, 2009

michael.miga@vanderbilt.edu

My research is focused at the detection, diagnosis, characterization, and treatment of disease through the integration of computational models into research and clinical practice.

Projects include the use of soft-tissue biomechanical computer models in conjunction with intraoperative data to compensate for deformation during image-guided brain, liver, and kidney surgery. The investigation of mechanical properties as biomarkers for cancer, and as an assessment tool for bone fracture healing. Other interests include radiofrequency ablation therapy and tumor growth models

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