LV Contours in US Images

**Introduction**

- Ultrasound imaging system is a cardiac scaning modality with the highest temporal resolution.

- We want to measure the left ventricualr (LV) volume at each time to provide the quantitative parameters of clinical evaluation of cardiac function. For exmaple, 'volume stroke' or 'ejection fraction'.

- Automateic real-time segmentatino of LV is needed because manual tracing is tedius, time-consuming and impractical.

- We also propose an energy functional using the pre-determined Rayleigh distribution parameter ¥ò * = ¥ò1.

- We incorporate a few control points and shape constraints into the energy functional to prevent contour leakage though gaps by weak edges.

- We numerically implement using the steepest descent approach of the energy functional.

**Methods**

- We analyze the characteristics of speckle of blood and tissue in ultrasound images.

- We propose the decomposition method of Rayleigh distribution parameters ¥ò1, ¥ò2 from histogram data h of LV image u.

- By the decomposition method, non-linear and ill-posed problem is changed into linear least square problem.

**Numerical Experiments**

1. Synthetic Images

2. Real Images

For more detailed description, see "Fast segmentation of ultrasound images using robust Rayleigh distribution decomposition" by Ahn

Research Topics

Introduction

Electrical Impedance Tomography

Magnetic Resonance EIT

Electrical Property Imaging

Elastography

LV contours in Ultrasound

Dental CT : Metal Artifacts Reduction

Bioimpedance spectroscopy

Quantitative susceptibility mapping

Image processing

Micro EIT

Surveillance

Lecture Notes

Algorithm

Electrical Impedance Tomography

Magnetic Resonance EIT

Electrical Property Imaging

Elastography

LV contours in Ultrasound

Dental CT : Metal Artifacts Reduction

Bioimpedance spectroscopy

Quantitative susceptibility mapping

Image processing

Micro EIT

Surveillance

Lecture Notes

Algorithm

last update 2012.10.26 by Chi Young Ahn