Multi-modal non-rigid registration of medical images based on mutual information maximization

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12 Citazioni (Scopus)

Abstract

In this paper, a new multi-modal non-rigid registration technique for medical images is presented. Firstly, the registration problem is outlined and some of the most common approaches reported, then, the proposed algorithm is presented. The proposed technique is based on mutual information maximization and computes a deformation field through a suitable globally smoothed affine piecewise transformation. The algorithm has been conceived with particular attention to computational load and accuracy of results. Experimental results involving intra-patient, inter-patients and atlas images on brain CT and MR (T1, T2 and PD modalities) are reported.
Lingua originaleEnglish
Pagine743-748
Numero di pagine6
Stato di pubblicazionePublished - 2007

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Brain

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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title = "Multi-modal non-rigid registration of medical images based on mutual information maximization",
abstract = "In this paper, a new multi-modal non-rigid registration technique for medical images is presented. Firstly, the registration problem is outlined and some of the most common approaches reported, then, the proposed algorithm is presented. The proposed technique is based on mutual information maximization and computes a deformation field through a suitable globally smoothed affine piecewise transformation. The algorithm has been conceived with particular attention to computational load and accuracy of results. Experimental results involving intra-patient, inter-patients and atlas images on brain CT and MR (T1, T2 and PD modalities) are reported.",
author = "{La Cascia}, Marco and Edoardo Ardizzone and {Lo Presti}, Liliana and Orazio Gambino and Roberto Pirrone",
year = "2007",
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pages = "743--748",

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AU - La Cascia, Marco

AU - Ardizzone, Edoardo

AU - Lo Presti, Liliana

AU - Gambino, Orazio

AU - Pirrone, Roberto

PY - 2007

Y1 - 2007

N2 - In this paper, a new multi-modal non-rigid registration technique for medical images is presented. Firstly, the registration problem is outlined and some of the most common approaches reported, then, the proposed algorithm is presented. The proposed technique is based on mutual information maximization and computes a deformation field through a suitable globally smoothed affine piecewise transformation. The algorithm has been conceived with particular attention to computational load and accuracy of results. Experimental results involving intra-patient, inter-patients and atlas images on brain CT and MR (T1, T2 and PD modalities) are reported.

AB - In this paper, a new multi-modal non-rigid registration technique for medical images is presented. Firstly, the registration problem is outlined and some of the most common approaches reported, then, the proposed algorithm is presented. The proposed technique is based on mutual information maximization and computes a deformation field through a suitable globally smoothed affine piecewise transformation. The algorithm has been conceived with particular attention to computational load and accuracy of results. Experimental results involving intra-patient, inter-patients and atlas images on brain CT and MR (T1, T2 and PD modalities) are reported.

UR - http://hdl.handle.net/10447/12728

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