We're delighted to share news of a new publication, featuring PreOperative Performance's anisotropic diffusion phantom technology, in the Magnetic Resonance in Medicine journal.
onlinelibrary.wiley.com/doi/10.1002/...
We’re weeks away from the ISMRM Annual Meeting in Cape Town!
On Tuesday May 12 at 09:15am, PreOperative Performance will present data demonstrating unit-to-unit equivalency of our ground-truth imaging technology - Abstract no. 01873.
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Meet with us!
DM us or reach out at contact@preoperativeperformance.com to connect in Cape Town!
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This is the foundation for robust, multi-site, translatable imaging outcomes.
We're looking forward to reconnecting with friends in Cape Town and meeting new collaboration partners.
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What’s needed is a reference standard solution that:
• integrates seamlessly with MRI systems & workflows,
• compatible with clinical diffusion protocols,
• produce meaningful metrics that include diffusion (FA, RA, and more),
• physically models white matter structure & its response to imaging
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Why this matters:
Neuroimaging studies still struggle with reproducibility and translation. Without standardized, physiologically relevant ground truth, results don’t reliably scale across sites, scanners, or cohorts.
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We’re weeks away from the ISMRM Annual Meeting in Cape Town!
On Tuesday May 12 at 09:15am, PreOperative Performance will present data demonstrating unit-to-unit equivalency of our ground-truth imaging technology - Abstract no. 01873.
(1/5)
👋
… standardized physical phantoms will be essential for quality assurance, protocol optimization, and cross-site harmonization."
To collaborate with us ▶️ send us a DM.
onlinelibrary.wiley.com/doi/10.1002/...
… the phantom supported consistent measurements across a range of fiber geometries, particularly under high angular resolution acquisitions.
As advanced diffusion imaging continues to expand in clinical and research settings…
From the paper:
"This study demonstrated that the PreOperative Performance anisotropic phantom is a reliable and effective tool for evaluating the repeatability of advanced dMRI metrics. Despite differences in model assumptions and sensitivities…
In this paper, the phantom hardware, and white matter mimicking modules, are used to assess the repeatability of high-order diffusion tensor models, addressing the challenges presented by volumes with complex geometry such as crossing white matter fibers.
We're delighted to share news of a new publication, featuring PreOperative Performance's anisotropic diffusion phantom technology, in the Magnetic Resonance in Medicine journal.
onlinelibrary.wiley.com/doi/10.1002/...
More news coming shortly!
A significant milestone for our tech, but a bigger win for multi-site imaging studies!
If you’re running multi-site MRI studies, how much of your budget is consumed by travel logistics?
📬 DM us to collaborate!
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By addressing systemic biases in MR systems with anisotropic diffusion phantom measurements, perceived gain from adding more human volunteers drops significantly. More actionable and quantitative data is acquired faster, for a fraction of the budget.
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The Modeling Results:
▶️ Phantom only: 1.6x to 5.7x ROI on a single project,
▶️ Hybrid scenario: 35%-60% savings, combining phantom measurements and limited human subjects,
▶️ Speed: A study that once took years can now be completed in a day between participating sites, and repeated at will.
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Our white matter modules are fully parameterized, temporally stable, and emulate physiological responses, without the biological variance of a human volunteer.
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At PreOperative Performance, we’ve engineered a way out.
We’ve demonstrated unit-to-unit equivalency with our anisotropic diffusion phantom technology.
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The Human Gold Standard in neuroimaging has a scaling problem.
🧠
Traditional multi-site MRI harmonization relies on traveling subjects. It’s a $300k investment that takes 24+ months from first planning steps to publication.
A short thread…
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These results support the use of anisotropic diffusion phantoms for identification of site-specific variability, and quality control solutions for multicenter diffusion MRI studies.
📬DM us to connect and collaborate!
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The study presents an imaging analysis pipeline that yields equivalency tolerances across replica anisotropic diffusion phantoms, demonstrating consistent structural, and physiological 'white matter like' behavior, across individual phantom builds.
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We're pleased to announce that our abstract, “Characterizing Fiber Bundles in an Anisotropic Diffusion Phantom: Comparison of Phantom Replicas” (Abstract # 01873) has been accepted to ISMRM 2026 this May. 🧠
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PreOperative Performance HQ the morning after the biggest winter storm of the season so far.
Neurological reference standards can solve non-obvious and costly problems in neuroimaging data quality.
A short thread…
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#MRI #dMRI #diffusionMRI #neurosky #neuro #neurorad #neuroradiology #neuroscience #imagingstudies #radiologyAI
This is how anisotropic diffusion phantom reference standards add real value - turning subtle, hard-to-spot inconsistencies into clear, actionable information, ensuring that downstream analysis and clinical decisions are based on trustworthy data.
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And relying on anatomy alone, such as checking the corpus callosum on an axial slice, is often not enough to confirm that the b-vectors and the image are aligned.
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These issues are more common than most people expect, especially when software packages use different orientation conventions (e.g., LAS vs. RAS).
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In our white-matter modules, any L-R orientation mismatch between the image and the b-vectors becomes immediately visible, the diffusion signal falls perpendicular to the fiber bundle axes on both diagonal bundles.
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PreOperative Performance’s ground-truth phantoms with white matter simulating modules enable a capability that can be missed in routine practice - clear, objective detection of orientation mismatches and diffusion encoding errors.
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