Centre for Biomedical Engineering
Anup Singh is working as an Assistant Professor in the Center for Biomedical Engineering (CBME) at IIT-Delhi. His area of interest includes development of MRI techniques/methods, based on exogenous or endogenous contrast agents, for early and better diagnosis of diseases as well as for monitoring treatment responses. Currently, his group is working on development and standardization of methods and software tools for quantitative multiparametric MRI (Perfusion, CEST, T1/T2/T1rho, SWI MRI, etc.) with applications in Brain tumor, Breast cancer and Osteoarthritis. He is actively collaborating with doctors and researchers at AIIMS Delhi, Fortis Memorial Research Institute Gurgaon, University of Pennsylvania, and Mahajan Imaging Center, IIT Kanpur and IIT Mandi.
Dr. Singh received a PhD degree from the Department of Mathematics and Statistics, Indian Institute of Technology Kanpur (IIT-Kanpur) in 2008. During this period he worked on quantitations in DCE-MRI in collaboration with doctors and researchers at medical institute SGPGIMS-Lucknow. He developed methods and software tools for analyzing data from brain tumor, brain tuberculoma and breast cancer patients.
Dr. Singh worked as a Postdoctoral Researcher (Aug 2008 – March 2013) in the Center for Magnetic Resonance and Optical Imaging (CMROI), Department of Radiology at University of Pennsylvania and then as Research Associate (April 2013 - March 2014) in the same center. He has been working on development of MRI techniques and image analysis methodologies associated with major areas of research in the CMROI, which include chemical exchange saturation transfer (CEST), spin lock relaxation (T1ρ) and magnetization transfer (MT) studies on animal models as well as on human subjects. This work has applications in wide range of diseases including multiple sclerosis, alzheimer's diseases, parkinson disease, epilepsy, myocardial infarction, Osteoarthritis diseases.
Dr. Singh has 47 peer reviewed publications (two in a high profile journal “Nature Medicine”) and several conference presentations. He has filed three US patent applications on CEST MRI related work. He is teaching courses on Medical Imaging, Biomedical Image Processing, Applications of mathematics in Biomedical Engineering and Computer Programming.
Multiparametric MRI for Diagnosis and Grading of Brain Tumors : Magnetic Resonance Imaging (MRI) is playing a crucial role in the diagnosis of brain tumors and monitoring of treatment responses. Accurate grading and staging of tumor/cancer is important for treatment purpose, which is routinely done using Histopathology of Biopsy samples. Although Biopsy reports are still treated as gold standard, they are prone to inaccurate diagnosis due to poor sampling. There is a great need of noninvasive imaging techniques/methodology for accurate grading and staging, in addition to diagnosis. Moreover, classification/segmentation of different components of brain tumor viz. enhancing, non enhancing, necrosis and edema is important for treatment planning. MRI techniques can be used to obtain multiple type of information about tissue viz. structural, functional, hemodynamical, biochemical. MRI techniques and methodology is being continuously developed to improve diagnosis, grading, treatment planning and monitoring of treatment responses. Currently our group is working on standardization of MRI protocols, developing methodology of quantitative multiparametric MRI, clinical validation and exploring clinical potential, particularly for improved diagnosis and accurate grading. Research work on applications of Machine Learning approaches using multiparameteric information for improving automatic segmentation of tumor/cancer tissue and grading is a current area of research. This talk will provide an overview of multiparametric MRI related research activities being carried out.