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Abstract #2957

Subtraction Map Pipeline to Assess Longitudinal Changes in Multiple Sclerosis at Portable Ultra-Low-Field MRI

Corinne Donnay1,2, Serhat V Okar3, Megan Poorman4, Daniel S Reich3, and Govind Nair5
1NINDS, NIH/Oxford, Bethesda, MD, United States, 2Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, United Kingdom, 3NINDS, NIH, Bethesda, MD, United States, 4Hyperfine Inc, Guilford, CT, United States, 5NIH, Bethesda, MD, United States

Synopsis

Keywords: Visualization, Low-Field MRI, Multiple Sclerosis, Longitudinal, White Matter Lesions

Motivation: Ultra-low-field (ULF) MRI is more patient-accessible due to its cost effectiveness and portability and could in principle allow more frequent follow-up in disabling neurological diseases like multiple sclerosis (MS). However, using ULF MRI to track longitudinal changes is challenging due to reduced SNR and CNR.

Goal(s): To develop an ULF longitudinal subtraction pipeline.

Approach: We developed a subtraction pipeline for ULF images and assessed longitudinal changes in 14 scans from 12 MS participants. Results were compared with an MS neurologist’s impression of high-field images.

Results: Our pipeline was able to detect new lesions and longitudinal changes in MS on par with high-field MRI.

Impact: A longitudinal subtraction pipeline, implemented on ultra-low field MR images, was useful for monitoring interval changes in patients with MS, augmenting the clinical utility of follow-up MRI.

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Keywords