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EchoLVFM

Research · arXiv 2025

One-step echocardiogram video synthesis via Latent Flow Matching. Given a target ejection fraction (EF), the model generates a realistic cardiac ultrasound video in a single forward pass — no iterative diffusion steps required.

Video Generation

Generating synthetic echocardiograms conditioned on different ejection fraction values.

EchoLVFM generation demo — synthetic echocardiogram videos conditioned on ejection fraction

Video Reconstruction

Reconstructing real echocardiograms in latent space, with matched ejection fraction values.

EchoLVFM reconstruction demo — reconstructed echocardiogram videos with matched EF

Latent Flow Matching

Rather than learning a denoising process over many steps, LFM learns a straight-line flow in latent space between noise and data — enabling one-step generation.

Clinical Conditioning

The model is conditioned on ejection fraction (EF), a key cardiac health metric, allowing targeted synthesis of pathological and healthy cardiac motion.

Application

Synthetic data augmentation for rare cardiac conditions, and a controllable simulator for training downstream echocardiogram analysis models.