Anatomical and functional image fusion with guided filtering

[摘要] Multi-modal medical image fusion (MMIF) technology is playing an increasingly important role in many clinical applications. In this paper, a novel anatomical and functional image fusion method based on guided filtering (GF) is proposed. In our proposed method, GF is firstly used to decompose the anatomical image into a base image and a detail image. Then the base image and the Y channel of the functional image are combined according to the local energy maximum fusion rule, and the detail image is used to enhance the details of the anatomical image. The proposed method has potential practical value for clinical applications due to its high computational efficiency. Experimental results demonstrate that the proposed method can achieve better results in term of subjective observation and objective metrics.

[发布机构] School of Information Engineering, Nanchang Hangkong University, Nanchang, China^1

[效力级别] 计算机科学

[关键词] Anatomical images;Clinical application;Functional images;Fusion rule;Guided filtering;Local energy;Multi-modal;Objective metrics