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.
ARDIZZONE E, GAMBINO O, LA CASCIA M, LO PRESTI L, PIRRONE R (2007). Multi-modal non-rigid registration of medical images based on mutual information maximization. In Proc. of 14th International Conference on Image Analysis and Processing ICIAP 2007 (pp.743-748). LOS ALAMITOS, CALIFORNIA : IEEE Press.
Multi-modal non-rigid registration of medical images based on mutual information maximization
ARDIZZONE, Edoardo;GAMBINO, Orazio;LA CASCIA, Marco;LO PRESTI, Liliana;PIRRONE, Roberto
2007-01-01
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.File | Dimensione | Formato | |
---|---|---|---|
ICIAP2007.pdf
Solo gestori archvio
Descrizione: articolo
Dimensione
665.75 kB
Formato
Adobe PDF
|
665.75 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
04362743.pdf
Solo gestori archvio
Descrizione: copertina
Dimensione
46.47 kB
Formato
Adobe PDF
|
46.47 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.