title: Medical Image Fusion Based on Rolling Guidance Filter and Spiking Cortical Model.
abstract: Medical image fusion plays an important role in diagnosis and treatment of diseases such as image-guided radiotherapy and surgery. Although numerous medical image fusion methods have been proposed, most of these approaches are sensitive to the noise and usually lead to fusion image distortion, and image information loss. Furthermore, they lack universality when dealing with different kinds of medical images. In this paper, we propose a new medical image fusion to overcome the aforementioned issues of the existing methods. It is achieved by combining with rolling guidance filter (RGF) and spiking cortical model (SCM). Firstly, saliency of medical images can be captured by RGF. Secondly, a self-adaptive threshold of SCM is gained by utilizing the mean and variance of the source images. Finally, fused image can be gotten by SCM motivated by RGF coefficients. Experimental results show that the proposed method is superior to other current popular ones in both subjectively visual performance and objective criteria.
authors.affiliation: College of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, China ; Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding, Hebei 071002, China.
authors.forename: Liu
authors.initials: L
authors.lastname: Shuaiqi
authors.affiliation: College of Electronic and Information Engineering, Hebei University, Baoding, Hebei 071002, China ; Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding, Hebei 071002, China.
authors.forename: Zhao
authors.initials: Z
authors.lastname: Jie
authors.affiliation: College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China.
authors.forename: Shi
authors.initials: S
authors.lastname: Mingzhu
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging / Q000379:methods; D015233:Models, Statistical; D064847:Multimodal Imaging / Q000379:methods; D016011:Normal Distribution; D061089:Radiotherapy, Image-Guided / Q000379:methods; D012984:Software; D025321:Surgery, Computer-Assisted / Q000379:methods; D015899:Tomography, Emission-Computed, Single-Photon / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods