Multi-sequence texture analysis in classification of in vivo MR images of the prostate

• Autorzy: Duda D. , Kretowski M. , Mathieu R. , de Crevoisier R. , Bezy-Wendling J.

Identyfikatory

DOI

10.1016/j.bbe.2016.05.002

• Języki publikacji: EN

Abstrakty

EN

The aim of the study is to investigate the potential of multi-sequence texture analysis in the characterization of prostatic tissues from in vivo Magnetic Resonance Images (MRI). The approach consists in simultaneous analysis of several images, each acquired under different conditions, but representing the same part of the organ. First, the texture of each image is characterized independently of the others. Then the feature values corresponding to different acquisition conditions are combined in one vector, characterizing a combination of textures derived from several sequences. Three MRI sequences are considered: T1-weighted, T2-weighted, and diffusion-weighted. Their textures are characterized using six methods (statistical and model-based). In total, 30 tissue descriptors are calculated for each sequence. The feature space is reduced using a modified Monte Carlo feature selection, combined with wrapper methods, and Principal Components Analysis. Six classifiers were used in the work. Multi-sequence texture analysis led to better classification results than single-sequence analysis. The subsets of features selected with the Monte Carlo method guaranteed the highest classification accuracies.

Słowa kluczowe

EN

computer aided diagnosis; tissue characterization; multi image texture analysis; feature extraction; feature selection; classification

PL

komputerowe wspomaganie diagnozy; charakterystyka tkanki; analiza tekstury; ekstrakcja cech; selekcja cech

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2016
• Tom: Vol. 36, no. 4
• Strony: 537--552
• Opis fizyczny: Bibliogr. 39 poz., rys., tab., wykr.

Twórcy

autor

Duda D.

• Faculty of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351 Bialystok, Poland

autor

Kretowski M.

• Faculty of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351 Bialystok, Poland

autor

Mathieu R.

• Department of Urology, Pontchaillou University Hospital, Rennes, France

autor

de Crevoisier R.

• LTSI, INSERM U1099, University of Rennes 1, France

autor

Bezy-Wendling J.

• LTSI, INSERM U1099, University of Rennes 1, France

Bibliografia

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Uwagi

EN

This is an extended and revised version of a paper presented at the ITiB'2014 Conference

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.