Medical Image Registration in Clinical Diagnosis: An Introduction

Medical Image Registration in Clinical Diagnosis: An Introduction

A. Swarnambiga (Indian Institute of Technology Madras, India) and Vasuki S. (Vellammal College of Engineering and Technology, India)
Copyright: © 2019 |Pages: 19
DOI: 10.4018/978-1-5225-5876-7.ch012

Abstract

The term medical image covers a wide variety of types of images (modality), especially in medical image registration with very different perspective. In this chapter, spatial technique is approached and analyzed for providing effective clinical diagnosis. The effective conventional methods are chosen for this registration. Researchers have developed and focused this research using proven conventional methods in the respective fields of registration Affine, Demons, and Affine with B-spline. From the overall analysis, it is clear that Affine with B-Spline performs better in registration of medical images than Affine and Demons.
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Introduction

A critical stage in visualizing the process is the alignment or registration of the images. This includes transformation, scaling and skews as well as the rigid body parameters in matrix form by preserving all the parallel lines. Rigid body registration is widely used in medical applications where the structures of interest (region of interest) are either bone or are enclosed in bone as noted in works by Yang (1999); Hill (2001); Zitova (2003); Yang et al. (2007) and Viergever et al. (2016). Furthermore, this article focuses discussion on medical image registration on attempting to provide a clinical justification for diagnosis by observers’ classification.

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