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To deliver impactful solutions in Bio-medical imaging through research that will further Indian and Global health care.


To promote interdisciplinary research through engagement of researches in the broad are of medical imaging in general and magnetic resonance in particular, enhancing the knowledge in this area through achieving excellence in the focused area of Bio-medical imaging.


1.This work focuses on application of Partial Least Square (PLS) regression modelling to determine PK maps with 95-98% reduction in time as compared to curve fitting approaches. PLS is a statistical method based on PCA and linear regression that provides the relationship between the predictor and response variables through the determination of the regression co-efficient matrix β.

2. Intravoxel incoherent motion (IVIM) imaging is a non-invasive analysis to evaluate perfusion and diffusion simultaneously. The parametric maps obtained from IVIM-diffusion weighted imaging(f, D and D*) are correlated with dynamic susceptibility contrast(DSC)- cerebral blood volume(CBV) in Human brain

3. Figure shows Time Of Flight (TOF) Magnetic Resonance Angiography(MRA) scan images of volunteers and Diabetis Mellitus patients for both pre-exercise and post-exercise. Statistically significant signal increase in some of the arteries of calf muscles post-exercise can be seen.


1.Perfusion Phantom

2.Cardiac Phantom

The cardiac phantom consists of two square boxes made of acrylic material, sizes of which were 200×200×200mm3 and 350×350×350mm3. The smaller box housed the heart that was prepared using poly vinyl alcohol (PVA). The larger box housed the mechanical gear system that produces the piston motion. The piston was connected to pumping system to pump in copper sulphate (CuSo4) solution that mimic the blood contrast. The cardiac phantom setup is as shown in figure 1.
The cardiac phantom was positioned in the iso-centre, supported with foam pads on the sides and paper tapes. Tap water was filled in the heart phantom. To obtain the thermometric profile of the cardiac phantom 12 probes were inserted into the phantom, with the required thermal insulation. The scan protocol included a gradient echo sequence was part of B1+ stress test for a single channel transmit head coil which produced a B1 max of 3.2µT

MIRC           MIRC1

MR Engineering group working on MRI coils, Currently building Radio Frequency (RF) Coils for 1.5T scanner integrated with temperature measurement.

1. A general framework to design and integrate MR Hardware probe and pulse sequence design

Objective of this research work is the design of Radio Frequency (RF) coil for MRI of multi-nuclear application.

2. MR Hardware Simulator


3. MR Motion Correction Simulator

1. Beachball abstract

2. GO-Avtive Technique

3. GO-Active Technique for DCE MRI (Application)

MR Image Reconstruction working on MR Image Reconstruction using Compressed Sensing (CS) and/or Parallel Imaging (PI) techniques. Current projects include application of a recently developed technique by us called Region of Interest Compressed Sensing (ROICS) on a MRA and the combination of ROICS with PI.

1.Developing Novel technique to accelerate Magnetic Resonance Imaging (MRI) using Compressed Sensing (CS) technique.

Region of Interest Compressed Sensing (ROICS) has been proposed by our team and its application has been demonstrated successfully on cardiac MRI and Magnetic Resonance Angiography (ROICS). Also ROICS has been combined with Parallel Imaging (PI) to achieve highest acceleration and it is demonstrated on MRI brain data.

2.Optimal k-space sampling strategies for the combination of Compressed sensing and Parallel imaging in MRI

The proposed work aims in developing the novel k-space trajectories combining Compressed Sensing (CS) and Parallel Imaging (PI) which acquire very few data from the k-space, able reconstruct the image without artifact to achieve highest acceleration and retain the contrast or the critical information of the image.

3.Novel techniques and applications of Diffusion Weighted Imaging in Fetal MRI

Objective of this research work is to find anomalies in various organs of fetus using Diffusion MRI and also develop techniques to accelerate Diffusion Tensor Imaging (DTI)

4.Fast and robust reconstruction methods for non cartesian k-space trajectories

A major challenge for MRI is reduction in the scan times which is requires to obtain an image. This can be achieved by using the sophisticated encoding techniques like non cartesian k-space trajectories and parallel imaging.The goal of this research work is to develop reconstruction methods for fast MRI using non cartesian k-space trajectories.