IITKGP
The MITLab@IITKgp has concluded a MOU with GE Healthcare to work jointly in developing ' Patient-specific Precision Surgical Aids' using AI and AR methods. | The Medical Imaging and Theragnostics Lab (MITLab) is looking for multiple motivated Postdoctoral/Ph.D. Candidates in areas of Biomedical Optics, AI/ML for Medical Imaging, Augmented Reality for Surgical Interventions, and Cancer Therapy. |

Research Areas

The Medical Imaging and Theranostics Lab (MITLab@IIT Kharagpur) is involved in a broad spectrum of medical imaging and image processing application from Microscopy to Radiology. We have in-house imaging facilities for Fluorescence microscopy, Stereo microscopy, optical coherence tomography, clinical ultrasound imaging, and integrated cell culture and tissue processing capabilities. The current focus areas in translational medical research are oral and breast cancer, wound healing, cardiac imaging and signal processing, and developing novel point-of-care microscopy and photoacoustic devices. We are working closely with Medical faculty members of Dr. B C Roy Multi Speciality Medical Research Centre and external hospitals (viz. Fortis, Tata Medical Center, LEF Purulia, LVPEI Hyderabad, and SSSIHMS, Whitefield) for clinical CT, MR, and ophthalmology imaging. Our industry partners include GE Healthcare, TCS Research, Erbe Elektromedizin Group, Germany, and Microsoft Research. We are collaborating with national institutes like AIIMS, IISER, ILBS and internationally with universities like TU Munich, ETH Zurich, Postech (South Korea), and the University of Toronto.
The Lab has an illustrious history of over 15 years, with successful alums in academia and industry worldwide. We are glad to receive the mentorship of our former PIs, Prof. Ajoy K Ray, Padmashree, and Prof. Jyotirmoy Chatterjee, and support from a robust advisory group of academic and industry leaders.
 
  • Memory Replay for Continual Medical Image Segmentation through Atypical Sample Selection Bera S., Ummadi V. , Sen D. , Mandal S. , Biswas P. K. By International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) - (2023)
  • Segmentation and Tracking of Tumor Vasculature Using Volumetric Multispectral Optoacoustic Tomography Lach A., Mandal S. , Razansky D. By Innovations and Developments of Technologies in Medicine, Biology and Healthcare 75-78 (2021)
  • AR visualizations in laparoscopy: surgeon preferences and depth assessment of vascular anatomy Heiliger C., Heiliger.. T. , Mandal S. , Navab N. , Karcz K. By Minimally Invasive Therapy & Allied Technologies 32 190-198 (2023)
  • Noise adaptive beamforming for linear array photoacoustic imaging Paul S., Mandal S. , Singh M. S. By IEEE Transactions on Instrumentation and Measurement 70 1-11 (2021)
  • Brilliant cresyl blue enhanced optoacoustic imaging enables non-destructive imaging of mammalian ovarian follicles for artificial reproduction Mandal S., Dutta R. , Amy Lin H. , Raz T. , Kind A. , Schnieke A. , Razansky D. By Journal of the Royal Society Interface 17 - (2020)
  • Visual Quality Enhancement in Optoacoustic Tomography Using Active Contour Segmentation Priors Mandal S., Dean-ben X. L., Razansky D. By IEEE Transactions on Medical Imaging 35 2209-2217 (2016)
  • Improving Optoacoustic Image Quality via Geometric Pixel Super-Resolution Approach H., Mandal S. , Buehler A. , Dean-ben X. L., Razansky D. , Ntziachristos V. By IEEE Transactions on Medical Imaging 35 812-818 (2016)
  • Development of Cardiac Prescreening Device for Rural Population Using Ultralow-Power Embedded System Mandal S., Basak K. , Mandana K. M., Ray A. K., Chatterjee J. , Mahadevappa M. By IEEE Transactions on Biomedical Engineering 58 745-749 (2011)
  • Imaging system, laparoscope and method for imaging an object Kalim F., Joshi S. , Mandal S. By - (2023)
  • Maximum Entropy Based Non-Negative Optoacoustic Tomographic Image Reconstruction J., Mandal S. , Razansky D. , Ntziachristos V. By IEEE Transactions on Biomedical Engineering 66 2604-2616 (2019)

Principal Investigator

  • "Al aSsisted point-of-caRe device for pre-screening of Glaucoma using predictive modeling of tear fern patterns (ASRU)" IIT KHARAGPUR AI4ICPS I HUB FOUNDATION
  • Artificial Intelligence augmented oocyte retrieval for improved outcome of Assisted Reproductive Technologies (Al4ART) IIT KHARAGPUR AI4ICPS I HUB FOUNDATION
  • Patient-Specific Precision Surgical Aids Science and Engineering Research Board (SERB),Wipro GE Healthcare Private Limited
  • Portable Intraoral Multispectral Imager for Cancer screening Indian Council of Medical Research (ICMR)

Co-Principal Investigator

  • Fabrication of a smart lab-on-a-chip to detect salivary biomarkers of oral cancer and malignant transition of oral premalignancy for point-of-care diagnostics and machine learning-based predictive modelling INDIAN COUNCIL OF MEDICAL RESEARCH (ICMR)
  • Integrated transcriptomics, metabolomics and microbiome signatures-based prediction ofCOPD patients at-risk of progressing to lung cancer INDIAN COUNCIL OF MEDICAL RESEARCH (ICMR)
  • SMST Facility User Charges Various internal users of the Institute

Ph. D. Students

Anuska Sarkar

Area of Research: AI assisted medical interventions

Anusuiya

Area of Research: Computer-aided medical interventions

Partha Acharya

Area of Research: Microfluidics

Sumana Halder

Area of Research: Multimodal Imaging for precision dosimetry

Vipul Vishal

Area of Research: Multiscale Selective Plane Illumination Imaging