Literature DB >> 22357041

MRI skin segmentation for the virtual deformation of the breast under mammographic compression.

J A Solves Llorens1, C Monserrat, M J Rupérez, V Naranjo, M Alajami, E Feliu, M García, M Lloret.   

Abstract

Breast Magnetic Resonance Image skin has similar intensity levels than dense tissue, and may produce segmentation errors if not managed correctly. In this work a novel skin segmentation method is presented and validated by experts, aimed to obtain as many pixels belonging to the real skin as possible. Segmented skin will be used to build a breast biomechanical model to register X-Ray Images with Magnetic Resonance Images in the future, using a virtually deformed Magnetic Resonance Image.

Mesh:

Year:  2012        PMID: 22357041

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues.

Authors:  M A Lago; M J Rúperez; F Martínez-Martínez; S Martínez-Sanchis; P R Bakic; C Monserrat
Journal:  Expert Syst Appl       Date:  2015-11-30       Impact factor: 6.954

2.  Levels Propagation Approach to Image Segmentation: Application to Breast MR Images.

Authors:  Fatah Bouchebbah; Hachem Slimani
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

  2 in total

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