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 …

Robust and reliable features with noise immunity, rotation‐invariance, and low‐
dimensionality are the challenging aspects of pattern recognition. In this study, the authors …

Image registration is one of the most important problems in medical image analysis. It refers
to the process of geometric alignment between two images based on correspondence. A …

Human brain imaging provides reliable and fast information in clinical diagnosis, and a
precise brain image allows researchers to effectively understand the lesions of the patients …

In this paper, a new scheme is proposed to register brain Magnetic Resonance (MR) and
Computed Tomography (CT) images under a noisy environment. The scheme is developed …

In this study, a new framework for multimodal image registration is proposed based on the
expectation–maximisation (EM) methodology. This framework allows to address …

In this work, we propose a novel fully automated method to solve the 3D multimodal non-
rigid image registration problem. The proposed strategy overcomes the monomodal intensity …

Medical Image registration is a key enabling technology and a highly challenging task.
Medical images captured using different modalities (sometimes same modality) undergo the …

腦中風為腦血管阻塞或自發性破裂而造成腦部功能失常的疾病, 分為缺血性及出血性,
急性發病期之後, 在慢性期常留下不可逆的後遺症. 根據世界衛生組織統計, 每年全球約有1500 …