Automatic segmentation of enhancing breast tissue in dynamic contrast-enhanced MR images

Gal, Yaniv (författare)

Mehnert, Andrew, 1967 (författare): Chalmers tekniska högskola,Chalmers University of Technology

Bradley, Andrew (författare)

McMahon, Kerry (författare)

Crozier, Stuart (författare)

(creator_code:org_t)

ISBN 0769530672
2007
2007
Engelska.
Ingår i: Proc. 2007 Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA). - 0769530672 ; , s. 124-129

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Abstract Ämnesord

Stäng

We present a novel method for the segmentation of enhancing breast tissue, suspicious of malignancy, in dynamic contrast-enhanced (DCE) MR images. The method is based on seeded region growing and merging using criteria based on both the original image intensity values and the fitted parameters of a novel empiric parametric model of contrast enhancement. We present the results of the application of the method to DCE-MRI data sets originating from breast MRI examinations of 24 subjects (10 cases of benign and 14 cases of malignant enhancement). The results show that the segmentation method has 100% sensitivity for the detection of suspicious regions independently identified by a radiologist. The results suggest that the method has potential both as a tool to assist the clinician with the task of locating suspicious tissue and as input to a computer assisted diagnostic system for generating quantitative features for automatic classification of suspicious tissue.

Av författaren/redakt...: Gal, Yaniv; Mehnert, Andrew, ...; Bradley, Andrew; McMahon, Kerry; Crozier, Stuart

Om ämnet

NATURVETENSKAP: NATURVETENSKAP; och Data och informa ...; och Datorseende och ...

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Medicinteknik; och Medicinsk bildbe ...

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