Jeff Vachon

PACS/VNA
Imaging data can be an asset in the fight against COVID-19
The current coronavirus pandemic is creating a new normal across all facets of daily life, and medical imaging is no exception. In a new article, Jeff Vachon of healthcare analytics firm Bialogics discusses how image data can be leveraged to fight COVID-19.
April 13, 2020
2020 03 30 23 32 9943 Virus Coronavirus Covid 19 400
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Axial (A) and Coronal (B) CTPA show multiple partial intraluminal filling defects along the course of the right middle lobar segmental branches (medial segment) (yellow arrow) and lower lobar and postero-medial segmental branches (green arrow). Note the low-signal filling defects on the axial and coronal 0.55T MRI sequence.
ISMRM 2025
ISMRM: Contrast-free MR angiography comparable to CT for PE detection
University of Michigan researchers investigate detectability of pulmonary embolism by noncontrast MR angiography at 0.55 tesla.
Associations between insulin resistance and MWF. (A) Distribution of insulin resistance, stratified by sex. (B) Regression analysis of whole-brain MWF vs. log (HOMA-IR), adjusted for age and age². Shaded regions indicate 95% confidence intervals. (C) Regression analysis of whole-brain MWF vs. log (HOMA-IR), adjusted for age, age², sex, and log (HOMA-IR) sex. Graphics and caption courtesy of Nathan Zhang, PhD, and the ISMRM.
ISMRM 2025
ISMRM: Insulin resistance in women associated with less myelin, changes in brain
Representative T2-FLAIR, CBF maps, choroid plexus segment, free-water maps, ALPS ROI, and 3D T1BRAVO from a stroke patient, and a healthy control. Both individuals are 64 years old in chronological age. The patient displays an evident ischemic lesion in the basal ganglia region on T2-FLAIR imaging. The distinctions between the patient and the healthy control are as follows: CBF (32.22 ml/100g/min vs. 47.70 ml/100g/min), CPVF (1.47 vs. 0.84), VCSFVF (32.50 vs. 11.00), MSFW (0.0455 vs. 0.0313), ALPS (1.04 vs. 1.54), and BPAD (13.21 vs. -1.60).
ISMRM 2025
ISMRM: Brain’s waste-clearing system accelerates brain aging after stroke
Researchers at ISMRM highlighted the success of a trimodal MR-PET-FUS system built around a low-field MRI scanner. MR (top) and PET (bottom) images were acquired simultaneously before and after FUS heating.
ISMRM 2025
ISMRM: Trimodal PET-MR-FUS may be feasible therapy monitoring option
Protocol time and recall bounds as a function of AI specificity and sensitivity. On the top, the bounds are shown as a function of the specificity of the AI algorithm, for a fixed value of the sensitivity of that same AI model. On the bottom, the bounds are shown as a function of the sensitivity, for a fixed specificity. Graphics and caption courtesy of the ISMRM.
ISMRM 2025
ISMRM: Switching between full and short breast MRI reduces recalls
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Axial (A) and Coronal (B) CTPA show multiple partial intraluminal filling defects along the course of the right middle lobar segmental branches (medial segment) (yellow arrow) and lower lobar and postero-medial segmental branches (green arrow). Note the low-signal filling defects on the axial and coronal 0.55T MRI sequence.
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Associations between insulin resistance and MWF. (A) Distribution of insulin resistance, stratified by sex. (B) Regression analysis of whole-brain MWF vs. log (HOMA-IR), adjusted for age and age². Shaded regions indicate 95% confidence intervals. (C) Regression analysis of whole-brain MWF vs. log (HOMA-IR), adjusted for age, age², sex, and log (HOMA-IR) sex. Graphics and caption courtesy of Nathan Zhang, PhD, and the ISMRM.
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The the brain’s glymphatic system appears to accelerate brain aging in patients after ischemic stroke.
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Representative T2-FLAIR, CBF maps, choroid plexus segment, free-water maps, ALPS ROI, and 3D T1BRAVO from a stroke patient, and a healthy control. Both individuals are 64 years old in chronological age. The patient displays an evident ischemic lesion in the basal ganglia region on T2-FLAIR imaging. The distinctions between the patient and the healthy control are as follows: CBF (32.22 ml/100g/min vs. 47.70 ml/100g/min), CPVF (1.47 vs. 0.84), VCSFVF (32.50 vs. 11.00), MSFW (0.0455 vs. 0.0313), ALPS (1.04 vs. 1.54), and BPAD (13.21 vs. -1.60).
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Researchers at ISMRM 2025 touted the success of a trimodal MR-PET-FUS system that could have applications for therapy monitoring.
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Researchers at ISMRM highlighted the success of a trimodal MR-PET-FUS system built around a low-field MRI scanner. MR (top) and PET (bottom) images were acquired simultaneously before and after FUS heating.
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Protocol time and recall bounds as a function of AI specificity and sensitivity. On the top, the bounds are shown as a function of the specificity of the AI algorithm, for a fixed value of the sensitivity of that same AI model. On the bottom, the bounds are shown as a function of the sensitivity, for a fixed specificity. Graphics and caption courtesy of the ISMRM.
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