Joint registration of multiple images using entropic graphs

Bing Ma; Ramakrishnan Narayanan; Hyunjin Park; Alfred O. Hero; Peyton H. Bland; Charles R. Meyer

doi:10.1117/12.709904

8 March 2007 Joint registration of multiple images using entropic graphs

Bing Ma, Ramakrishnan Narayanan, Hyunjin Park, Alfred O. Hero, Peyton H. Bland, Charles R. Meyer

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65122A (2007) https://doi.org/10.1117/12.709904
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Registration of medical images (intra- or multi-modality) is the first step before any analysis is performed. The analysis includes treatment monitoring, diagnosis, volumetric measurements or classification to mention a few. While pairwise registration, i.e., aligning a floating image to a fixed reference, is straightforward, it is not immediately clear what cost measures could be exploited for the groupwise alignment of several images (possibly multimodal) simultaneously. Recently however there has been increasing interest in this problem applied to atlas construction, statistical shape modeling, or simply joint alignment of images to get a consistent correspondence of voxels across all images based on a single cost measure. The aim of this paper is twofold, a) propose a cost function - alpha mutual information computed using entropic graphs that is a natural extension to Shannon mutual information for pairwise registration and b) compare its performance with the pairwise registration of the image set. We show that this measure can be reliably used to jointly align several images to a common reference. We also test its robustness by comparing registration errors for the registration process repeated at varying noise levels. In our experiments we used simulated data, applying different B-spline based geometric transformations to the same image and adding independent filtered Gaussian noise to each image. Non-rigid registration was employed with Thin Plate Splines(TPS) as the geometric interpolant.

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Bing Ma, Ramakrishnan Narayanan, Hyunjin Park, Alfred O. Hero, Peyton H. Bland, and Charles R. Meyer "Joint registration of multiple images using entropic graphs", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65122A (8 March 2007); https://doi.org/10.1117/12.709904

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KEYWORDS

Image registration

Tumors

Gaussian filters

Interference (communication)

Statistical analysis

Feature extraction

Medical imaging

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