Center for Research and Innovation in Abdominal Imaging
Contact Information
Center for Research and Innovation in Abdominal Imaging
55 Fruit Street, White Building, Room 270
Boston,
MA
02114
Phone: 617-643-2009
Email: mghcria@mgb.org
About This Program
Overview
The Center for Research and Innovation in Abdominal Imaging (CRIA) at MGH performs clinical and translational research with the use of top-of-the-line technology and decision support to advance healthcare practices and better patient care.
The Center operates within the Abdominal Imaging Division at MGH to consolidate the research performed by our renowned faculty members. Our expert investigators conduct research on a range of imaging modalities using the latest technologies, including Photon Counting CT, Dual-Energy CT, CT Perfusion, and PET-MRI. The research conducted at the Center seeks to answer a variety of clinical questions related to the different abdominal organs such as the kidneys, pancreas, liver and prostate. Oncological research also constitutes a large portion of the research performed at the Center. This includes investigating imaging biomarkers and advancements in screening, staging and response assessment techniques. In addition to leading research investigations, the center aims to foster and develop the next generation of researchers through the support and mentorship of our junior faculty, trainees and clinical and research fellows.
Group Members
Director
Advisory Board
Abdominal Imaging Faculty
- Mark Anderson, MD
- Michael Blake, MBBCH
- William Bradley, MD
- Onofrio Catalano, MD, PhD
- Ryan Chung, MD
- Ranjodh Dhami, MD
- Michael Gee, MD, PhD
- Reece Goiffon, MD, PhD
- Peter Hahn, MD, PhD
- Aoife Kilcoyne, MD, BAO
- Kasra Mojtahed, MD
- Theodore Pierce, MD
- David Rosman, MD, MBA
- Francis Scholz, MD
- Madeleine Sertic, MBBCH, BAO
- Anuradha Shenoy-Bhangle, MD
- Joseph Simeone, MD
Postdoctoral Research Fellows
Abbas Rezaei, MD
Email: arezaei1@mgh.harvard.edu
Hometown: Tehran, Iran
Graduate Education: MD from Bushehr University of Medical Sciences, Bushehr, Iran
Current Projects & Research: Abbas contributes to research at the Center of Research and Innovation in Abdominal Imaging (CRIA). His current work includes developing an AI algorithm aimed at predicting pancreatic cancer, with a focus on enhancing diagnostic accuracy and early detection. Additionally, he is conducting research on the cost-effectiveness of incidental renal lesion characterization, comparing Dual-energy CT and Single-energy CT, to determine the most efficient imaging approach for accurate diagnosis and management in clinical settings.
Abdelrahman Elshikh, MD
Email: aelshikh@mgh.harvard.edu
Hometown: Alexandria, Egypt
Graduate Education: MD from Alexandria Faculty of Medicine, Egypt
Current Projects & Research: Abdelrahman works on innovative use of MRI in prostate imaging and screening. He also aims to investigate the use of deep learning algorithms in image quality improvement and workflow optimization.
Aliva Nayak, MD
Email: anayak3@mgh.harvard.edu
Hometown: Bhubaneswar (India)
Graduate Education: MBBS and Radiology Residency from Datta Meghe Institute of Medical Sciences, Wardha, India
Current Projects & Research: Aliva is currently involved in research involving the imaging evaluation of Intraductal Papillary Mucinous Neoplasms (IPMNs) and Spectral CT in Abdominal and Oncologic Imaging Practice: Impact on patient outcome and Cost-effectiveness study.
Azadeh Hajati, MD
Email: ahajati@mgh.harvard.edu
Hometown: Shiraz, Iran
Graduate Education: MD from Shiraz University of Medical Sciences, Shiraz, Iran; Radiology Residency from Shiraz University of Medical Sciences, Shiraz, Iran
Current Projects & Research: Azadeh is working on the technical and methodological improvements of whole-body PET/MR protocols, along with dedicated regional protocols. I will focus on the clinical performance evaluation of MRI pulse sequences. This involves comparing MRI images generated by deep learning (DL) and artificial intelligence (AI) with conventionally produced images to assess their accuracy.
Binaya Dhakal, MD
Email: bdhakal1@mgh.harvard.edu
Hometown: Gorkha, Nepal
Graduate Education: MBBS from Nepalese Army Institute of Health Sciences- College of Medicine, Kathmandu, Nepal
Current Projects & Research: Binaya is actively involved in research at the Center for Research and Innovation in Abdominal Imaging (CRIA). His work focuses on developing an AI algorithm for early pancreatic cancer detection, conducting a phantom study to evaluate CT image quality, and assessing the efficiency of dual-energy versus single-energy CT for renal lesion diagnosis—all aimed at enhancing diagnostic accuracy and improving patient outcomes.
Maximilian Pohl, MD
Email: mpohl1@mgh.harvard.edu
Hometown: Graz, Austria
Graduate Education: MD from Medical University of Graz, Austria, B.Sc. From University of Bonn, Germany
Current Projects & Research: Max is a current radiology resident in Graz, Austria. His research aims to bridge the gap between cutting-edge AI technology and clinical practice, working toward more precise and less invasive diagnostic pathways in prostate cancer.
Nabih Nakrour, MD
Email: nnakrour1@mgh.harvard.edu
Hometown: Homs, Syria
Graduate Education: MD from Al-Baath University, Homs, Syria
Current Projects & Research: Nabih works on projects revolving around the innovative use of multi-parametric MRI to implement new technologies in liver imaging to quantify inflammation, for a better understanding and diagnosing liver diseases. He also aims to investigate the use of artificial intelligence in MRI for prostate cancer detection and follow-up. He is also a part of researchers looking into the future of managing endometriosis and solidify the essential role of imaging into this disease.
Soumyadeep Ghosh, MD
Email: sghosh18@mgh.harvard.edu
Hometown: Asansol, India
Graduate Education: MBBS from Nilratan Sircar Medical College & Hospital, Kolkata, India; Radiology Residency from PD Hinduja National Hospital & Medical Research Center, Mumbai, India
Current Projects & Research: Soumyadeep collaborates with the Center of Research and Innovation in Abdominal Imaging (CRIA) faculty on their research projects. He is presently conducting abdominal imaging research in several areas, including performing image quality assessments, investigating the role of various imaging modalities in patients with endometriosis including a prospective study evaluating the role of intraoperative transvaginal sonography in patients with bowel endometriosis. He is also involved in evaluating the importance of delayed CT in portal venous phase abdominal CT and taking a deep dive into the use of artificial intelligence and deep learning reconstruction algorithm in MRI for prostate cancer detection.
Yoshifumi Noda, MD PhD
Email: ynoda@mgh.harvard.edu
Hometown: Gifu, Japan
Graduate Education: MD and PhD from Gifu University, Gifu, Japan
Current Projects & Research: Dual-energy CT and photon-counting CT in upper abdomen.
Prior Postdoctoral Research Fellows
- Alexander Herold, MD
- Shravya Srinivas Rao, MD
- Priyanka Prajapati, MD
- Nikitha Uma Baskaran, MD
- Jinjin Cao, MD
- Luigi Asmundo, MD
- Mina Hesami, MD
- Nayla Mroueh, MD
- Felipe Furtado, MD
- Álvaro Badenes Romero, MD
- Sasiprang Konboonvijit, MD (Fern)
Prior Research Intern
- Lauren Glupe