The UCSF ci2 has a Strong Presence at the 2022 ISMRM Annual Meeting

Group photo of scientists from the UCSF Center for Intelligent Imaging at ISMRM22

The return of in-person events means that members of the UCSF Center for Intelligent Imaging (ci2) are just returning from London, the site of the International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, known on social media as #ISMRM22. Here are a few highlights from year's events featuring UCSF ci2 members.

Nola Hyton, PhD Receives a 2022 ISMRM Gold Medal

Nola Hylton, PhD, professor in residence at UCSF Radiology and UCSF cimember, received a 2022 ISMRM Gold Medal for her foundational work in breast MR imaging. Her research focuses on development and clinical evaluation of MRI techniques for characterizing breast cancers and assessing their response to treatment.

Kenneth Gao wins Best MSK Abstract and a Summa Cum Laude Merit Award

Congratulations to Kenneth Gao, graduate student researcher in the UC Berkeley/UCSF Graduate Program in Bioengineering, who received an award for Best MSK Abstract at the MSK Study Group for his work on large scale meniscus shape analysis. He also received a Summa Cum Laude Merit Award given to trainee members whose abstracts score in the top 5 percent. As a researcher in the UC Berkeley-UCSF Join Graduate Program in Bioengineering, he is mentored by Sharmila Majumdar, PhD.

Excellent posters and talks presented by UCSF ci2 researchers

Aniket Tolpadi, graduate student in the UC Berkeley/UCSF Graduate Program in Bioengineering, is developing deep learning and model-based methods to accelerate acquisition of structural MRI and compositional MRI. He's current focused on musculoskeletal imaging applications and gave a talk on "Gadolinium Free Synthetic Inflammation Imaging" and presented two posters at the meeting:

  • A Cartilage-Specific Loss Function Improves Image Reconstruction Performance in Multiple Tissues of Clinical Interest
  • A Recurrent Encoder-Decoder Network Accelerates T2 Mapping in Knee, Hip and Lumbar Spine

Madeline Hess, UCSF cimember and research data analyst, presented her work on deep learning models for image segmentation and anomaly detection tasks to uncover and characterize biomarkers of lumbar spine degeneration.

Misung Hanh, PhD, assistant professional researcher, presented her poster on "Efficient Dixon-Based 3D Fast Spin-Echo MR Neurography of Lumbosacral Plexus" in the imaging nerves, head and neck section.

Valentina Pedoia, PhD, presented on "Super Resolution Segmentation of the Scapula from Clinical MRI" in the joint section.

Eugene Ozhinsky, PhD, presented on "Towards Clinical Translation of Machine Learning-based Automated Prescription of Spine MRI Acquisitions" in the machine learning/artificial intelligence clinical application section.

Koren Roach, PhD, postdoctoral research scholar, presented her poster on "Feasibility of Simultaneous Bilateral Hip Quantitative MRI" in the cartilage section. 

Upasana Bharadwaj, MD, postdoctoral scholar and UCSF ci2 member, presented on "Deep-learning based 3D segmentation of thigh muscle and classification of intramuscular fat on T1-weighted axial MRI" in the muscle and tissue section.

Rupsa Bhattacharjee, PhD, postdoctoral associate specialist at UCSF Radiology, presented on "ITSS vasculature volume and Radiomics Features from MR SWI: Performance in Glioma Grading" in the brain tumors section.

We also enjoyed hearing talks giving by Jennifer Cummings and Michelle Tong.