3D Ultrasound image segmentation: A Survey

TL;DR

This survey reviews various 3D ultrasound image segmentation techniques, focusing on their applications, methodologies, and comparative evaluation to provide a comprehensive overview of the field.

Contribution

It compiles and analyzes existing 3D ultrasound segmentation methods, clarifies misconceptions about 2D versus 3D approaches, and presents a comparative evaluation framework.

Findings

Different segmentation techniques vary in robustness and interactivity.

Evaluation methods are systematically compared and tabulated.

The survey highlights gaps and future directions in 3D ultrasound segmentation.

Abstract

Three-dimensional Ultrasound image segmentation methods are surveyed in this paper. The focus of this report is to investigate applications of these techniques and a review of the original ideas and concepts. Although many two-dimensional image segmentation in the literature have been considered as a three-dimensional approach by mistake but we review them as a three-dimensional technique. We select the studies that have addressed the problem of medical three-dimensional Ultrasound image segmentation utilizing their proposed techniques. The evaluation methods and comparison between them are presented and tabulated in terms of evaluation techniques, interactivity, and robustness.