Evaluation of Medical Image Registration Techniques Based on Nature and Domain of the Transformation

Fakhre Alam; Sami Ur Rahman; Shah Khusro; Sehat Ullah; Adnan Khalil

doi:10.1016/j.jmir.2015.12.081

Evaluation of Medical Image Registration Techniques Based on Nature and Domain of the Transformation

J Med Imaging Radiat Sci. 2016 Jun;47(2):178-193. doi: 10.1016/j.jmir.2015.12.081. Epub 2016 Mar 2.

Authors

Fakhre Alam¹, Sami Ur Rahman², Shah Khusro³, Sehat Ullah², Adnan Khalil²

Affiliations

¹ Department of Computer Science & IT, University of Malakand, Khyber Pakhtunkhwa, Pakistan. Electronic address: fakhre.uom@gmail.com.
² Department of Computer Science & IT, University of Malakand, Khyber Pakhtunkhwa, Pakistan.
³ Department of Computer Science, University of Peshawar, Peshawar, Pakistan.

PMID: 31047182
DOI: 10.1016/j.jmir.2015.12.081

Abstract

A lot of research has been done during the past 20 years in the area of medical image registration for obtaining detailed, important, and complementary information from two or more images and aligning them into a single, more informative image. Nature of the transformation and domain of the transformation are two important medical image registration techniques that deal with characters of objects (motions) in images. This article presents a detailed survey of the registration techniques that belong to both categories with detailed elaboration on their features, issues, and challenges. An investigation estimating similarity and dissimilarity measures and performance evaluation is the main objective of this work. This article also provides reference knowledge in a compact form for researchers and clinicians looking for the proper registration technique for a particular application.

Keywords: Medical image registration; affine registration; curved registration; global registration; local registration; projective registration; rigid registration.

Publication types

Review