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APS Session – Multiparametric Tissue Mimics for Breast Imaging and Medical Device Testing
Multiparametric Tissue Mimics for Breast Imaging and Medical Device Testing
Stephen Russek, Todor Karaulanov (presenter), Willaim Hollander, Chamni Jayarathna, Callie Weiant, John Wenzel, Shannon John
We present our work on developing anatomically realistic, quantitative multiparametric MRI (qMRI) phantoms designed to standardize imaging of both healthy and diseased breast tissue. The lack of standardized, morphology-accurate phantoms currently limits the effectiveness of qMRI in both clinical and research settings. Without realistic tissue-mimicking models, radiologists, technologists, and researchers face challenges in learning optimal acquisition protocols and interpreting quantitative data.

In case you missed it, we are sharing some interesting abstracts from the MRinRT conference held in NY last month. Reach out directly to the authors on their work!
Titles listed in order as they appear in program book:
“Longitudinal Diffusion-Weighted MRI for Treatment Response Assessment in Locally Advanced Rectal Cancer Patients Undergoing Short-Course Radiotherapy” by Jonathan Pham, Huiming Dong, PhD, Ann Raldow, and X. Sharon Qi – UCLA
“Implementation of Quantitative MRI-Guided Adaptive Radiotherapy on MRLINAC” by Jie Deng, @Yan Dai, Yen-Peng Liao, @Junjie Wu, @Chris Kabat, Jill B. De Vis, @Fan-Chi Su, Mu-han Lin, and Andrew Godley – UT Southwestern Medical Center.
“MRIdian Multiparametric MRI Working Group Assessment of DiffusionWeighted Imaging Protocols on the 0.35 T MRI-Linear Accelerator” by Natalia Lutsik, @Sungheon Gene Kim , Gage Redler, Joe Weygand, @ Matteo Nardini, Ryan Pennell, Siamak Nejad-Davarani, PhD, DABR, Tess Armstrong, and Eric Mellon.
“Correcting k-space trajectory errors and slice profile imperfections to improve the accuracy of T1 and T2 mapping with MR fingerprinting on a 1.5 T MR-Linac” by @Magali Nuixe, Rosie Goodburn , Bastien L., @Prashant Nair, and Andreas Wetscherek.
“Computed diffusion-weighted imaging and apparent diffusion coefficient for monitoring treatment response in prostate cancer: an MR-Linac feasibility study” Satomi Higuchi, @Jonathan Goodwin, Hilary Byrne, Michael Jameson, and Jeremy de Leon.
Questions about the phantoms used? Please reach out directly.
Warm regards,
The CaliberMRI team
https://lnkd.in/gQ9dYMQb
Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Weill Cornell Medicine, Geisel School of Medicine at Dartmouth, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE, INC, The Royal Marsden NHS Foundation Trust GenesisCare, University of Wollongong, University of Newcastle
MRinRT 2025