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ANANT MADABHUSHI, PhD

Assistant Professor,
Director, Laboratory for Computational Imaging and Bioinformatics (LCIB)
Department of Biomedical Engineering,
Rutgers The State University of New Jersey,
Member, Cancer Institute of New Jersey
Adjunct Assistant Professor of Radiology,
Robert Wood Johnson Medical Center
599 Taylor Road, Room 213, Piscataway, NJ 08854
Tel: 732-445-4500 (x 6213)
E-mail: [my first name + last name initial] [at] [rci] [dot] [rutgers] [dot] [edu]

Research Focus:  The complexity of biological systems and the vast amount of information now available at the level of genes, proteins, metabolites, tissues, and organs, requires developing quantitative computational methods to define relationships between structure and function at multiple biological scales. For instance, while Magnetic resonance imaging (MRI) and MR spectroscopy can probe a variety of physiological (e.g. blood vessel permeability) and metabolic characteristics of cancer, little is known about the changes in gene expression that underlie the spectral and imaging features observed in cancer. The ability to map genomic and proteomic expressions to in-vivo imaging opens the potential for new insights into disease characterization and a better understanding of disease mechanisms. 
        As Director of the Laboratory for Computational Imaging and Bioinformatics at Rutgers University, Dr. Madabhushi's research goals have focused on developing novel computerized image and spectral analysis, and multi-modal registration tools to facilitate synergistic and correlative analysis of disease signatures across multiple scales and functionalities -- from gene and protein expression to spectroscopy to histopathology and to MRI, for early computerized diagnosis, prognosis, and theragnosis of prostate, breast, and ovarian cancer. We seek to develop a quantifiable framework to link and integrate the cross-modality phenotype mappings for cancer across spatial scales, which will provide the ability to map profiles of proteins and enzymes to their corresponding imaging and/or histological image parameters on a pixel-by-pixel basis. The framework will facilitate identification of specific subsets of cross-modal features that relate to the emergence of a specific phenotype. We have also been developing machine learning schemes for combining measurements at multiple scales and modalities into an integrated prediction score that can provide a superior outcome prediction compared to a single predictor.

Histopathology Imaging (HIMA) Workshop in Columbus, Ohio, July 6-7, 2009
Dr. Madabhushi is co-hosting (along with Dr.'s Metin Gurcan, Nasir Rajpoot, and Mike Feldman) a workshop entitled "Histopathology Imaging" to be held in Ohio State University, Columbus, Ohio, July 6-7, 2009.

Brief Bio

A. Education and Training

B. Professional Experience

 

2007-        Adjunct Assistant Professor, Radiology, UMDNJ-RWJ,NJ
2005 -       Assistant Professor, Department of Biomedical Engineering, Rutgers Univ., Piscataway, NJ.

2004-2005  Assistant Research Professor, Dept. of Biomedical Eng., Rutgers Univ., Piscataway, NJ.


C. Selected Research Honors, Awards and Accomplishments (For my student/post-doc awards click here) D. Teaching
Spring 2008: BME 125:416 Pattern Recognition
Fall 2007: BME 125:305 Numerical Modeling in Biomedical Systems
Fall 2007: BME 125: 201Engineering Orientation: Biomedical Imaging
Spring 2007: BME 125:416 Pattern Recognition
Fall 2006: BME 125:305 Numerical Modeling in Biomedical Systems
Fall 2006: BME 125: 201Engineering Orientation: Biomedical Imaging
Spring 2006: BME 125:416 Pattern Recognition
Fall 2005: BME 125:305 Numerical Modeling in Biomedical Systems

E. Selected Recent Presentations (For a full list click here)
1.     ‘Integrated multi-modal disease characterization of prostate cancer’, IIT Chennai, India, September, 2007.
2.    ‘Multi-modal, multi-scale disease characterization: From gene-expression to MRI’, Jack Welch Center, General Electric, Bangalore, India, August, 2007.
3.    ‘Towards multi-modal, multi-scale disease characterization: From Gene Expression to MRI”, Grand Rounds, Cancer Institute of New Jersey, Jan, 2008.
4. ‘Towards multi-modal, multi-scale disease characterization: Work at the Laboratory for Computational Imaging and Informatics;, Eigen LLC, Grass Valley, CA, Nov., 2007.
5.  ‘Computer-aided Diagnosis, Registration, Visualization of Prostate cancer from Multi-modal MR Imaging’, AdmeTech meeting, Washington DC, Sept. 16-18, 2007.
 
F. Publications
 
Selected Peer Reviewed Journal Papers (For a full list click here)

     J1. Souza, A., Udupa, J, Madabhushi, A, Use of Generalized Scale for image filtering, Med. Image Anal. 2008, Vol. 12[2], pp. 87-98.

J2.     Juan, D, Alexe, G, Antes, T, Foran, D, Madabhushi, A, Bhanot, A, Delisi, C, Ganesan, S, Liou, L, MicroRNA Expression Profile in Clear-Cell Kidney Cancer, The Journal of Urology, Volume 179 [4], Supplement 1, pp. 92,  2008.
J3.     Lee, G., Rodriguez, C, Madabhushi, A, "Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene- and Protein-Expression Studies" IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2008 http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.36
 
Recent Peer-reviewed Conference Papers (For a full list click here)
C1.  Doyle, S., Hwang, M., Naik, S., Feldman, M., Tomaszewwski, J., Madabhushi, A.: Using manifold learning for content-based image retrieval of prostate histopathology. In: Proceedings of the MICCAI 2007 Workshop on Content-Based Image Retrieval for Biomedical Image Archives (2007) pp. 53-62.
C2.  Vishwanath, S., Madabhushi, A., Rosen, M., Manifold Learning and Consensus Clustering for Segmentation of 3 Tesla Prostate MRI, SPIE Medical Imaging, vol. 6915(1), 2008.
C3.  Agner, S, Madabhushi, A, Rosen, M, Schnall, M, Nosher, J, Somans, S, Libfeld, E, A comprehensive multi-attribute, manifold learning scheme-based computer aided diagnostic system for breast MRI, SPIE Medical Imaging, vol. 6915(1), 2008.
C4.  Vishwanath, S, Tiwari, P, Madabhushi, A, Rosen, M, Quantitative Integration of Magnetic Resonance Spectroscopy and Magnetic Resonance Imaging In Vivo for Computer-aided Diagnosis of Prostate Cancer, SPIE Medical Imaging, vol. 6915(1), 2008.
C5.  Naik, S, Doyle, S, Madabhushi, A, Tomaszewski, J, Feldman, M, Automated Nuclear and Gland Segmentation and Gleason Grading of Prostate Histology by Integrating Low-, High-level and Domain Specific Information, MIAAB, ISBI Special Workshop on Computational Histopathology (CHIP), Invited Paper, 2008.
C6. Tiwari, P, Rosen, M, Madabhushi, A., Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy, MICCAI 2008, Accepted.
C7.  Vishwanath, S, Chappelow, J, Toth, R, Linkinski, R, Bloch, B, Madabhushi, A., et al. An Integrated Segmentation Registration and Cancer Detection Scheme on 3 Tesla in vivo Prostate DCE MRI, MICCAI 2008, Accepted.
C8. Toth, R, Chappelow, J, Rosen, M, Kalyanpur, A, Pungavkar, S, Madabhushi, A., Multi-attribute Non-Initializing Texture Reconstruction based ASM (MANTRA), MICCAI 2008, Accepted.
 
G. Selected Research Support (For a full list click here)
 
Madabhushi, Anant (PI)                                       05/01/07-04/30/09
NIH R21-CA-127186-01                                       $333,000
Detecting Prostate Cancer using multi-protocol 3 Tesla in vivo MRI
 
Madabhushi, Anant (PI)                                       03/01/07-11/30/08
NIH R03CA128081-01                                         $159,000
Detecting pre-cancerous lesions from high resolution prostate MRI
 
Madabhushi, Anant (PI)                                       06/01/07-05/30/09
New Jersey Commission on Cancer Research            $115,500
Computerized Detection and Grading of Prostate Histology

Madabhushi, Anant (PI)                                      06/01/08-05/30/09
Society for Imaging Informatics in Medicine             $50,000
Content Based Image Retrieval System for Breast MRI

Madabhushi, Anant (PI)                                      06/01/08-05/30/09
Life Science Commercialization Award (Rutgers)      $50,000
Computer aided grading of prostate cancer histopathology

Madabhushi, Anant (PI)                              08/01/08-08/01/10
Coulter Foundation – Early Career Award (Phase 2)      $260,000
Automated Detection of Prostate Cancer from Multi-modal High Resolution MRI


H. Patents

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