Shape Detection of Liver From 2D Ultrasound Images

TL;DR

This paper proposes a shape detection method for the liver in 2D ultrasound images, addressing challenges like noise and image complexity to improve automated diagnosis.

Contribution

The study introduces a novel shape detection technique specifically designed for 2D ultrasound liver images, including noise handling and accuracy comparison.

Findings

The method effectively detects liver shape in noisy ultrasound images.

Noise removal improves detection accuracy.

The approach enhances computer-aided liver diagnosis.

Abstract

Applications of ultrasound images have expanded from fetal imaging to abdominal and cardiac diagnosis. Liver-being the largest gland in the body and responsible for metabolic activities requires to be to be diagnosed and therefore subject to utmost injury. Although, ultrasound imaging has developed into three and four dimensions providing higher amount of information; it requires highly trained medical staff due to the image complexity and dimensions it contain. Since 2D ultrasound images are still considered to be the basis of clinical treatments,computer aided automated liver diagnosis is very essential. Due to the limitations of ultrasound images, such as loss of resolution leading to speckle noise, it is difficult to detect shape of organs.In this project, we propose a shape detection method for liver in 2D Ultrasound images. Then we compare the accuracies of the method for both noise and after noise removal.