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Nonrigid registration of joint histograms for intensity standardization in magnetic resonance imaging
| Venue: | IEEE Trans Med Imaging |
| Citations: | 14 - 2 self |
BibTeX
@ARTICLE{Jäger_nonrigidregistration,
author = {Florian Jäger and Joachim Hornegger},
title = {Nonrigid registration of joint histograms for intensity standardization in magnetic resonance imaging},
journal = {IEEE Trans Med Imaging},
year = {},
pages = {137--150}
}
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Abstract
Abstract—A major disadvantage of magnetic resonance imaging (MRI) compared to other imaging modalities like computed tomography is the fact that its intensities are not standardized. Our contribution is a novel method for MRI signal intensity standardization of arbitrary MRI scans, so as to create a pulse sequence dependent standard intensity scale. The proposed method is the first approach that uses the properties of all acquired images jointly (e.g., T1- and T2-weighted images). The image properties are stored in multidimensional joint histograms. In order to normalize the probability density function (pdf) of a newly acquired data set, a nonrigid image registration is performed between a reference and the joint histogram of the acquired images. From this matching a nonparametric transformation is obtained, which describes a mapping between the corresponding intensity spaces and subsequently adapts the image properties of the newly acquired series to a given standard. As the proposed intensity standardization is based on the probability density functions of the data sets only, it is independent of spatial coherence or prior segmentations of the reference and current images. Furthermore, it is not designed for a particular application, body region or acquisition protocol. The evaluation was done using two different settings. First, MRI head images were used, hence the approach can be compared to state-of-the-art methods. Second, whole body MRI scans were used. For this modality no other normalization algorithm is known in literature. The Jeffrey divergence of the pdfs of the whole body scans was reduced by 45%. All used data sets were acquired during clinical routine and thus included pathologies. Index Terms—General intensity scale, intensity normalization, magnetic resonance imaging (MRI), nonrigid registration, signal intensity standardization, whole body MRI. I.
Keyphrases
magnetic resonance imaging intensity standardization nonrigid registration joint histogram probability density function image property data set mri signal intensity standardization nonrigid image registration clinical routine prior segmentation arbitrary mri scan acquisition protocol normalization algorithm included pathology different setting whole body scan signal intensity standardization intensity normalization mri head image nonparametric transformation first approach current image body region corresponding intensity space whole body mri spatial coherence jeffrey divergence major disadvantage index term general intensity scale particular application state-of-the-art method novel method multidimensional joint histogram t2-weighted image whole body mri scan
