Great Reading For ASTRO!

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. We look forward to working with you! Warm regards, The CaliberMRI team

Apparent diffusion coefficient benchmarking and inter-scanner variability; preparing for biological image guided adaptive radiotherapy treatments (2025)
148 – REPRODUCIBILITY OF APPARENT DIFFUSION COEFFICIENT ASSESSED ON A 1.5 T MR-LINAC AND A 3T SIEMENS MRI SCANNER FOR PROSTATE PATIENTS (2025)
Technical development and In Silico implementation of SyntheticMR in head and neck adaptive radiation therapy: A prospective R‐IDEAL stage 0/1 technology development report (2025)

Older Articles:

Accurate, repeatable, and geometrically precise diffusion-weighted imaging on a 0.35 T magnetic resonance imaging-guided linear accelerator (2023)

ADC measurements on the Unity MR-linac – a recommendation on behalf of the Elekta Unity MR-linac consortium (2020)

Conformance of a 3T radiotherapy MRI scanner to the QIBA Diffusion Profile (2022)

Feasibility of quantitative relaxometry for prostate target localization and response assessment in magnetic resonance-guided online adaptive stereotactic body radiotherapy (2024)

In Vivo and Phantom Repeatability of Diffusion-Weighted MRI Sequences on 1.5T MRI-Linear Accelerator (MR-Linac) and MR Simulator Devices for Head and Neck Cancers: Results from a Prospective R-IDEAL Stage 2a Evaluation of Tumor and Normal Tissue Apparent Diffusion Coefficients as Quantitative Imaging Biomarkers (2022)

Longitudinal assessment of quality assurance measurements in a 1.5 T MR-linac: Part I—Magnetic resonance imaging (Ergys Subashi, Alex Dresner, Neelam Tyagi) (2022)

Longitudinal assessment of quality assurance measurements in a 1.5 T MR‐linac: Part II—Magnetic resonance imaging (2022)

Prospective evaluation of in vivo and phantom repeatability and reproducibility of diffusion-weighted MRI sequences on 1.5 T MRI-linear accelerator (MR-Linac) and MR simulator devices for head and neck cancers (2023)

Quantifying multi-institutional ADC measurement variability of 1.5 T MR-Linacs: A phantom and in-vivo study (2025)

Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation (2020)

Technical Development and In Silico Implementation of SyntheticMR in Head and Neck Adaptive Radiation Therapy: A Prospective R-IDEAL Stage 0/1 Technology Development Report (2024)

The Quality Assurance of a 1.5 T MR-Linac (2024)

Validation of daily 0.35 T diffusion-weighted MRI for MRI-guided glioblastoma radiotherapy (2024)

2025 – a year in review – 60 papers and hundreds of authors advancing qMRI

Looking back to 2025, we want to thank the hundreds of customers and collaborators who authored more than 60 papers, talks, and abstracts using CaliberMRI phantoms. Products cited include: (1) Relaxometry phantoms (T1, T2, PD) – National Institute of Standards and Technology (NIST)/ISMRM Model 130 (as well as Models 136 and 106) (2) Diffusion phantom […]

User Group Session with Christopher Moore – Multi-centre Longitudinal Quantitative ADC QA using a Room Temperature ADC phantom

Work spanning 2 years, 9 scanners at 5 centers to evaluate repeatability and reproducibility of quantitative ADC measurements in preparation for longitudinal clinical trials incorporating quantitative ADC as a biomarker of cancer, using the qMRI room temperature ADC phantom. Study results and discussion of the utility of the phantom.

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.

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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

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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CaliberMRI Joins Innosphere’s 2026 Life Sciences Incubator Cohort

CaliberMRI is excited to participate in Innosphere’s 2026 Life Sciences Incubator Startup.

CaliberMRI announces release of the qDisc, a new quantitative MRI phantom for added functionality of the Medium ACR Phantom

BOULDER, Colo., Nov. 26, 2025 /PRNewswire/ — CaliberMRI, an industry leader in standardizing Magnetic Resonance Imaging (MRI), announced the release of a new quantitative MRI phantom compatible with the Medium ACR phantom. CaliberMRI’s qDisc (quantitative Dual Imaging Standardization Compartment) Model 141 allows sites to baseline T1, T2, ADC, and Proton Density in a single slice when scanning the Medium ACR phantom. The qDisc includes the Company’s patented MR readable LC Thermometer and is supported by qCal-MR®, an automated QA/QC analysis software. “This offering provides a practical option for gathering important quantitative metrics during routine scans with an ACR phantom,” says William Hollander, CEO of CaliberMRI. “With the rise of quantitative MRI offerings, the qDisc can be used as a first step toward harmonization of MRI scanners and AI software for analysis”. Hollander added. This phantom is intended to complement CaliberMRI’s more complete phantom platform solutions.

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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.

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Important Meeting Alert – Please Join the Conversation NIST/NIBIB Symposium on Medical Metrology and Standards for American Healthcare and Commerce Medical Imaging, Devices, Diagnostics

Important Meeting Alert – Please Join the ConversationNIST/NIBIB Symposium on Medical Metrology and Standards for American Healthcare and Commerce Medical Imaging, Devices, Diagnostics The Question: What future medical measurements, metrology, and standards should be prioritized to support U.S. Healthcare?

Open Office Hours – Every Tuesday 9-10 a.m. MDT!

Join us for open office hours! Ask questions about your phantom, qCal-MR and meet others advancing quantitative MRI!

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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.
Scope: Dr. Mukherjee will discuss his work on traumatic brain injury with the TRACK-TBI trial and on advanced neuroimaging and artificial intelligence/machine learning (AI/ML) technology.

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Article Word Cloud!

Take a look at our word cloud: qMRI, imaging, diffusion, T1, T2 ADC Mapping! Reproduciblity! QA/QC! Repeatability, Reproducibility, QA/QC!

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.