Naslov
Nonlinear Band Expansion and Nonnegative Matrix Underapproximation for Unsupervised Segmentation of a Liver from a Multi-phase CT image

Autori
Kopriva, Ivica ; Chen, Xinjian ; Yao, Jianhua

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo

Izvornik
SPIE Medical Imaging Symposium 2011, Image Processing / Dawant, Benoit ; Haynor, David - Bellingham (WA) : SPIE, 2011

Skup
SPIE Medical Imaging Symposium 2011

Mjesto i datum
Orlando (FL), Sjedinjene Američke Države, 13.02.2011. - 17.02.2011

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Multi-phase CT image; liver delineation; unsupervised segmentation; nonnegative matrix factorization.

Sažetak
A methodology is proposed for contrast enhanced unsupervised segmentation of a liver from a two-dimensional multi-phase CT image. The multi-phase CT image is represented by a linear mixture model, whereupon each single-phase CT image is modeled as a linear mixture of spatial distributions of the organs present in the image. The methodology exploits concentration and spatial diversities between organs present in the image and consists of nonlinear dimensionality expansion followed by matrix factorization that relies on sparseness between spatial distributions of organs. Dimensionality expansion increases concentration diversity (contrast) between organs. The methodology is demonstrated on an experimental three-phase CT image of a liver of two patients.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo, Kliničke medicinske znanosti

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