Current trends in medical image registration and fusion

被引:146
作者
El-Gamal, Fatma El-Zahraa Ahmed [1 ]
Elmogy, Mohammed [1 ]
Atwan, Ahmed [1 ]
机构
[1] Mansoura Univ, Fac Comp & Informat, PO 35516, Mansoura, Egypt
关键词
Medical image fusion; Medical image registration; Medical imaging modalities; Diseases based registration/fusion; MULTIMODAL REGISTRATION; CT; FRAMEWORK; PET;
D O I
10.1016/j.eij.2015.09.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recently, medical image registration and fusion processes are considered as a valuable assistant for the medical experts. The role of these processes arises from their ability to help the experts in the diagnosis, following up the diseases' evolution, and deciding the necessary therapies regarding the patient's condition. Therefore, the aim of this paper is to focus on medical image registration as well as medical image fusion. In addition, the paper presents a description of the common diagnostic images along with the main characteristics of each of them. The paper also illustrates most well-known toolkits that have been developed to help the working with the registration and fusion processes. Finally, the paper presents the current challenges associated with working with medical image registration and fusion through illustrating the recent diseases/disorders that were addressed through such an analyzing process. (C) 2015 Production and hosting by Elsevier B.V. on behalf of Faculty of Computers and Information, Cairo University.
引用
收藏
页码:99 / 124
页数:26
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