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Estimating Pressure Gradients in CHD with 4D-Flow MRI and Physics-Informed Bayesian Inference

Award Number: R01HL183592
ORGANIZATION: NATIONAL HEART, LUNG, & BLOOD INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 08/25/2026
PERIOD OF PERFORMANCE END DATE: 05/31/2031

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Estimating Pressure Gradients in CHD with 4D-Flow MRI and Physics-Informed Bayesian Inference - PROJECT SUMMARY Congenital heart disease (CHD) affects about 40,000 births per year (1%) in the United States. In particular, left ventricular outflow tract obstructions (LVOTO) accounts for between 5% and 10% of CHD, making it one of the most common severe forms. LVOTO comprises structural abnormalities that obstruct blood flow from the LV to the aorta, including subaortic stenosis, bicuspid aortic valve (BAV), supravalvular aortic stenosis, and coarctation of the aorta. The proposed project aims to develop, validate, and clinically evaluate a magnetic resonance imaging (MRI) method to assess cardiovascular blood flow (hemodynamics) in pediatric and young adult CHD patients, when imaging is most needed. Individuals born with LVOTO require a lifetime of clinical care, especially during surgical or interventional planning and repair. This includes monitoring and/or serial interventions with serial echocardiography, CT, or MRI exams. MRI is oftentimes the clinically preferred imaging modality for these patients owing to soft tissue contrast, clear depiction of complex anatomies, capability to quantify cardiac flow and function, and the lack of ionizing radiation. It is now possible to acquire 3D+time flow encoded (“4D-Flow”) MRI exams that depict and measure blood flow dynamics. In this project we will augment the current capabilities of 4D-Flow MRI to enable direct estimates of pressure gradients across obstructions. We call this method “4D-FlowP”. We will also enforce the physics of fluid flow on our noisy 4D-FlowP measurement data using “Bayesian Parameter Estimation.” Together with the development of some software tools our project will enable the virtual catheterization of patients for pressure gradient mapping, thereby avoiding the need for an invasive diagnostic catheter procedure. In summary, this project will clinically validate 4D-FlowP MRI with BPE to enable fast and accurate estimation of cardiovascular flow and pressure gradients in pediatric patients with native, repaired, or restenosed LVOTO. The impact of our technology goes well beyond patients with LVOTO and we expect future application to right heart lesions and adult congenital and acquired heart disease.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $755,271 )
2026	2026	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Cardiovascular Diseases Research	000	1	8/21/2026	NEW	$755,271
														Subtotal = $755,271

Grand Total All Awards = $755,271

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Estimating Pressure Gradients in CHD with 4D-Flow MRI and Physics-Informed Bayesian Inference

Award Number: R01HL183592

ORGANIZATION: NATIONAL HEART, LUNG, & BLOOD INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 08/25/2026

PERIOD OF PERFORMANCE END DATE: 05/31/2031

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