Local structure orientation: a new method for histology and MRI coregistration

Wadha Alyami; Andre Kyme; Roger Bourne

doi:10.1117/12.2549194

10 March 2020 Local structure orientation: a new method for histology and MRI coregistration

Wadha Alyami, Andre Kyme, Roger Bourne

Proceedings Volume 11313, Medical Imaging 2020: Image Processing; 113132W (2020) https://doi.org/10.1117/12.2549194
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Histology-based validation of magnetic resonance imaging (MRI) is dependent on spatial alignment of MRI and histology data obtained by very different physical techniques that usually generate very different types of image contrast. Most commonly, landmarks and/or mutual information (MI) techniques are employed for image coregistration. Landmark methods are limited by changed appearance or saliency of features manually selected in corresponding images. MI methods assume that pixel intensity distributions follow consistent relationships, however this assumption is often violated when differences exist in image texture and appearance. We propose a new approach based on local structure orientation (LSO). LSO-registration uses a tissue microstructure feature, fibre orientation, that can be measured by both histology and MRI, providing a dense feature field for an objective coregistration process. This structure feature, in-plane fibre orientation angle, can be generated from a histological image using a structure tensor analysis algorithm, and from 3D or 2D diffusion tensor MRI (DTI). We present a preliminary validation of LSO-registration based on digital and physical tissue structure phantoms that simulate fibre orientation in a human prostate. Using Elastix and Transformix we compare the performance of mutual information (MI), advanced mean squares (AMS), and a modified AMS method (AMSR) that corrects for angular redundancies. Registration accuracy was assessed quantitatively based on correction of deformed grid points and fiducial markers. Residual errors after registration using the physical tissue phantom with fiducial markers were: MI (3.4 ± 0.80), AMS (12.2 ± 5.7) and AMSR (2.1 ± 0.5).

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Wadha Alyami, Andre Kyme, and Roger Bourne "Local structure orientation: a new method for histology and MRI coregistration", Proc. SPIE 11313, Medical Imaging 2020: Image Processing, 113132W (10 March 2020); https://doi.org/10.1117/12.2549194

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KEYWORDS

Magnetic resonance imaging

Tissues

Image registration

Diffusion tensor imaging

Prostate

Heart

Digital imaging

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