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A Novel Non-invasive Method for the Detection of Elevated Intra-compartmental Pressures of the Leg

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Non-invasive pressure difference estimation from PC-MRI using the work-energy equation.

Fabrizio Donati¹, C Alberto Figueroa², Nicolas P Smith³

¹King's College London, Department of Biomedical Engineering and Imaging Sciences, St. Thomas' Hospital, 4th floor Lambeth Wing, The Rayne Institute, London SE1 7EH, United Kingdom.

Medical Image Analysis

|September 27, 2015

Summary

This study introduces a novel, non-invasive method to estimate cardiovascular pressure differences using fluid dynamics principles. The technique shows accuracy and robustness, offering a promising alternative to invasive clinical measurements.

Keywords:

4D flow Aortic flow PC-MRI Pressure differences estimation Work-energy equation

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Area of Science:

Biomedical Engineering
Cardiovascular Physiology
Medical Imaging

Background:

Cardiovascular pressure differences are key biomarkers for diseases like aortic coarctation.
Current clinical measurements require invasive catheterization, necessitating non-invasive alternatives.
Estimating pressure differences from blood flow data is an active area of research.

Purpose of the Study:

To develop and validate a non-invasive method for estimating pressure differences.
To utilize the work-energy equation for Newtonian fluid flow for this estimation.
To compare the proposed method against existing techniques.

Main Methods:

A non-invasive pressure difference estimation procedure based on the work-energy equation for Newtonian fluid.
Validation using in silico Phase Contrast Magnetic Resonance Image (PC-MRI) phantoms with steady and transient flow.
Testing on patient-specific 3D Computational Fluid Dynamics (CFD) simulation data and evaluation on 9 human subjects.

Main Results:

Demonstrated spatial and temporal convergence in silico.
The method showed good accuracy and robustness to noise and segmentation variations.
Performance was comparable to existing Bernoulli and pressure Poisson equation-based methods.

Conclusions:

The proposed work-energy equation method offers a viable non-invasive approach for pressure difference estimation.
This technique has potential for clinical application in diagnosing cardiovascular conditions.
Further validation in diverse clinical settings is warranted.