Review of methods for automatic cerebral microbleeds detection

TL;DR

This paper systematically reviews existing methods for automatic cerebral microbleeds detection in MRI, highlighting current research status and providing a foundation for future practical medical applications.

Contribution

It compiles, describes, and assesses all available publications on automatic cerebral microbleeds detection to clarify the research landscape and guide future developments.

Findings

Current methods are not yet used in clinical practice

The review identifies gaps and challenges in existing approaches

Provides a comprehensive overview for future research directions

Abstract

Cerebral microbleeds detection is an important and challenging task. With the gaining popularity of the MRI, the ability to detect cerebral microbleeds also raises. Unfortunately, for radiologists, it is a time-consuming and laborious procedure. For this reason, various solutions to automate this process have been proposed for several years, but none of them is currently used in medical practice. In this context, the need to systematize the existing knowledge and best practices has been recognized as a factor facilitating the imminent synthesis of a real CMBs detection system practically applicable in medicine. To the best of our knowledge, all available publications regarding automatic cerebral microbleeds detection have been gathered, described, and assessed in this paper in order to distinguish the current research state and provide a starting point for future studies.