The rapid advancements in machine learning, graphics processing technologies and the
availability of medical imaging data have led to a rapid increase in the use of deep learning …

This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …

CT is commonly used in orthopedic procedures. MRI is used along with CT to identify
muscle structures and diagnose osteonecrosis due to its superior soft tissue contrast …

Abstract Magnetic Resonance Imaging (MRI) guided Radiation Therapy is a hot topic in the
current studies of radiotherapy planning, which requires using MRI to generate synthetic …

Medical image registration is an important task in medical image processing. It refers to the
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …

This paper aims to present a review of recent as well as classic image registration methods.
Image registration is the process of overlaying images (two or more) of the same scene …

An overview is presented of the medical image processing literature on mutual-information-
based registration. The aim of the survey is threefold: an introduction for those new to the …

Detecting regions of change in multiple images of the same scene taken at different times is
of widespread interest due to a large number of applications in diverse disciplines, including …

Registration of pre-and intra-interventional data is one of the key technologies for image-
guided radiation therapy, radiosurgery, minimally invasive surgery, endoscopy, and …

Radiological images are increasingly being used in healthcare and medical research. There
is, consequently, widespread interest in accurately relating information in the different …