As we get ready for RSNA, we thought we’d share a word cloud of article titles in our Resource Library! We are grateful for the customers and collaborators working on qMRI, quantitative imaging and so many interesting topics.

Reach out directly to authors with questions. Have an article that’s not listed? Let us know and we’ll add it.

Meet us at RSNA!  We’re exhibiting at Booth 7610 (North Hall).

We’d love to see you at RSNA (we’ll be at Booth 7610 North Hall).text

Related Articles

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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.

April User Group Session! Multisite MRI Intravoxel Incoherent Motion Repeatability and Reproducibility across 3 T Scanners in a Breast Diffusion Phantom: A BReast Intravoxel Incoherent Motion Multisite (BRIMM) Study

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Upcoming User Group Sessions – Join Us!

Please join us for our upcoming user group sessions! We’ll be discussing MR-Linac, Diffusion, Repeatability, and Relaxometry.

Join us at ISMRM – Booth C15

Advancing Quantitative MRI! Stop by to visit our Booth (C19) at ISMRM to talk about data quality, standardization, reproducibility, and quantitative imaging in the age of AI. Topics: clinical trials, QA/QC, R&D, and AI/ML validation/testing.

November 18th – User Group Session | Traumatic Brain Injury, the TRACK-TBI Study, Data, and Quantitative Imaging | Dr. Pratik Mukherjee (UCSF)

Topic: Traumatic Brain Injury, the TRACK-TBI Study, Data, and Quantitative Imaging
Guest Speaker:  Dr. Pratik Mukherjee MD, PhD, UCSF

Dr. Mukherjee is a Professor in Residence in the Department Radiology and Biomedical Imaging, Bioengineering, and he is an attending neuroradiologist at the University of California, San Francisco. He is the Director of the Center for Imaging of Neurodegenerative Disease (CIND) based at the San Francisco VA Medical Center. He also directs the Neural Connectivity Laboratory (NCL) at UCSF China Basin.

 Dr. Mukherjee’s primary clinical research is the study of neurodevelopmental disorders and traumatic brain injury (TBI) using advanced neuroimaging and artificial intelligence/machine learning (AI/ML) technology. His research has been focused on technical development, neuroscience and clinical applications of advanced imaging methods for mapping structure and function of the human brain, especially diffusion MRI, which is a popular technique for assessing the development and integrity of white matter and for mapping axonal fiber pathways.
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CaliberMRI User Group Session 2 – June – The variability of Mean ADC Measurements with Simultaneous Multi-slice Imaging in a NIST/QIBA/CaliberMRI Diffusion Phantom

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Topic: The variability of Mean ADC Measurements with Simultaneous Multi-slice Imaging in a NIST/QIBA/CaliberMRI Diffusion Phantom
Guest Speakers: Dr. Ryckie Wade, PhD, and Matthew Marzetti, MsC, University of Leeds, United Kingdom

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Are you heading to ASTRO next week?  If so, take a look at some incredible articles below (some hot off the press!).  Please reach out directly to authors on their work or to CaliberMRI on our phantoms.  If you’d like to set up a meeting at ASTRO, please reach out to us directly at info@qmri.com. […]

CaliberMRI Joins Innosphere’s 2026 Life Sciences Incubator Cohort

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