Estimation of Motion Parameters for Ultrasound Images Using Motion Blur Invariants

TL;DR

This paper introduces a new mathematical model for linear motion blur in ultrasound images, enabling estimation of motion parameters and potentially improving image quality analysis.

Contribution

The paper presents a novel invariant-based model of motion blur in ultrasound images that estimates motion parameters in both frequency and moment domains.

Findings

Effective estimation of blur length and angle.

Potential for improved ultrasound image quality analysis.

Invariant features facilitate motion parameter extraction.

Abstract

The quality of fetal ultrasound images is significantly affected by motion blur while the imaging system requires low motion quality in order to capture accurate data. This can be achieved with a mathematical model of motion blur in time or frequency domain. We propose a new model of linear motion blur in both frequency and moment domain to analyse the invariant features of blur convolution for ultrasound images. Moreover, the model also helps to provide an estimation of motion parameters for blur length and angle. These outcomes might imply great potential of this invariant method in ultrasound imaging application.