HS Project -- Motion Estimation (Horn & Schunck)

This project explores optical flow (Horn & Schunck) and Principal Component Analysis (PCA) to estimate and characterize physiological motion in medical imaging, as a foundation for clinical tracking algorithms.

Overview

Optical flow estimation of elastic deformations, followed by spatio-temporal analysis of the displacement fields (PCA) to identify dominant motion patterns.

What the project demonstrates

Optical Flow (Horn & Schunck)

Implementation of Horn–Schunck optical flow to estimate displacement fields and organ deformation.

Optical FlowHorn–SchunckMotion Estimation

Spatio-temporal analysis (PCA)

Analysis of spatio-temporal coherence and extraction of dominant motion components.

PCASpatio-temporalMotion patterns

Foundation for clinical tracking

A methodological base for tracking algorithms intended for clinical applications.

TrackingMedical ImagingValidation

Want to know more?

I can share additional details (parameter choices, limitations, improvement ideas) during a discussion.