Abstract #5312

Rapid and Robust Automated MRI Dixon Water and Fat Image Classification

Junying Cheng¹, Changqing Wang², Zhongbiao Xu³, Yan Cui¹, Qichang Fu¹, Yong Zhang¹, Wufan Chen⁴, Yanqiu Feng⁴, and Jingliang Cheng¹

¹Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, ²School of Biomedical Engineering, Anhui Medical University, Hefei, China, ³Department of Radiotherapy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China, ⁴School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China

Synopsis

Keywords:

Motivation: In clinical MRI, the Dixon techniques is widely used for simultaneously obtaining water-fat images. However, it often encounters water-fat misclassification, where water is incorrectly identified as fat and vice versa.

Goal(s): This paper proposes a fast and robust automatic Dixon water-fat image classification method.

Approach: Background noise is suppressed using non-local means filter, followed by extraction of tissue edge information. Adipose-rich ROIs are then segmented through morphological operations. Within these ROIs, the maximum inter-class variance between water and fat is computed.

Results: The results from datasets of foot and hand datasets demonstrate that proposed method achieves precise and efficient classification of water-fat images.

Impact: Misclassification of water-fat in clinical MRI examinations can lead to diagnostic ambiguity, potentially impacting clinical decision-making and increasing the risk of medical disputes. This paper proposes a rapid and robust automated water-fat image classification method to address this issue.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.