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Improving the discrimination of benign and malignant breast MRI lesions using the apparent diffusion coefficient

Darryl McClymont ; Andrew Mehnert (Institutionen för signaler och system) ; Adnan Trakic ; Stuart Crozier ; Dominic Kennedy
Proc. 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA) p. 569 - 574. (2010)
[Konferensbidrag, refereegranskat]

This paper presents an investigation of the apparent diffusion coefficient (ADC) for improving the discrimination of benign and malignant lesions in breast magnetic resonance imaging (MRI). In particular a method is presented for automatically selecting hyper intense tumour voxels in dynamic contrast enhanced (DCE) MRI data and evaluating their average ADC in the corresponding diffusion-weighted (DW) MRI data. The method was applied to ten breast MRI datasets obtained from routine clinical practice. The results demonstrate that the combination of the relative signal increase (DCE-MRI) with the apparent diffusion coefficient (DW-MRI) leads to better discrimination than with either feature alone. The results also suggest that it is important to acquire the DW-MRI data in a consistent fashion, i.e. either before or after the acquisition of the DCE-MRI data.

Nyckelord: MRI, apparent diffusion coefficient, breast cancer, contrast enhancement

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Denna post skapades 2013-06-18.
CPL Pubid: 178719


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