Multiresolution elastic medical image registration in standard intensity scale

Ulas Bagci; Li Bai

IEEE 20th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI-07), Belo Horizonte, Minas Gerais, Brazil, October 7–10, 2007, pp. 305–312

Abstract

Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.

Abstract source

Ulas Bagci and Li Bai present a multiresolution method for elastic medical image registration that combines global and local affine transformations with intensity standardization.

Summary

The paper describes a method intended to address two challenges in medical image registration: capturing deformations at large and small scales, and handling global and local variations in image intensity. The authors combine global and local affine transformation algorithms with intensity standardization. The abstract states that standardizing intensities allows highly accurate registration, but the available source does not provide evaluation details or specific performance measures.

Cite this work

Ulas Bagci; Li Bai (2007). Multiresolution elastic medical image registration in standard intensity scale. IEEE 20th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI-07), Belo Horizonte, Minas Gerais, Brazil, October 7–10, 2007, pp. 305–312 https://arxiv.org/abs/0907.2075

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