The segmentation of MRI is a challenging task due to artifacts introduced by the acquisition process, like bias field and noise. In this paper, using a cartoon-texture decomposition of the image, we present a strategy that segments the cartoon processed by simultaneous bias correction and denoising. Preliminary numerical tests show that our method is effective in segmenting MRI data corrupted by noise.
Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization
Antonelli Laura;
2023
Abstract
The segmentation of MRI is a challenging task due to artifacts introduced by the acquisition process, like bias field and noise. In this paper, using a cartoon-texture decomposition of the image, we present a strategy that segments the cartoon processed by simultaneous bias correction and denoising. Preliminary numerical tests show that our method is effective in segmenting MRI data corrupted by noise.File in questo prodotto:
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Descrizione: Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization
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