Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

03/14/2023
by   Prasun C. Tripathi, et al.
0

Heart failure is a serious and life-threatening condition that can lead to elevated pressure in the left ventricle. Pulmonary Arterial Wedge Pressure (PAWP) is an important surrogate marker indicating high pressure in the left ventricle. PAWP is determined by Right Heart Catheterization (RHC) but it is an invasive procedure. A non-invasive method is useful in quickly identifying high-risk patients from a large population. In this work, we develop a tensor learning-based pipeline for identifying PAWP from multimodal cardiac Magnetic Resonance Imaging (MRI). This pipeline extracts spatial and temporal features from high-dimensional scans. For quality control, we incorporate an epistemic uncertainty-based binning strategy to identify poor-quality training samples. To improve the performance, we learn complementary information by integrating features from multimodal data: cardiac MRI with short-axis and four-chamber views, and Electronic Health Records. The experimental analysis on a large cohort of 1346 subjects who underwent the RHC procedure for PAWP estimation indicates that the proposed pipeline has a diagnostic value and can produce promising performance with significant improvement over the baseline in clinical practice (i.e., ΔAUC =0.10, ΔAccuracy =0.06, and ΔMCC =0.39). The decision curve analysis further confirms the clinical utility of our method.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/30/2018

Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis

Left ventricular non-compaction (LVNC) is a rare cardiomyopathy (CMP) th...
research
03/25/2018

Learning-Based Quality Control for Cardiac MR Images

The effectiveness of a cardiovascular magnetic resonance (CMR) scan depe...
research
10/20/2018

Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion

Quantitative assessment of left ventricle (LV) function from cine MRI ha...
research
11/03/2017

Computationally efficient cardiac views projection using 3D Convolutional Neural Networks

4D Flow is an MRI sequence which allows acquisition of 3D images of the ...
research
02/24/2020

Deep learning predicts total knee replacement from magnetic resonance images

Knee Osteoarthritis (OA) is a common musculoskeletal disorder in the Uni...
research
08/29/2023

Multimodal Foundation Models For Echocardiogram Interpretation

Multimodal deep learning foundation models can learn the relationship be...

Please sign up or login with your details

Forgot password? Click here to reset