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## MRI to X-ray mammography registration using a volume-preserving affine transformation.

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### Detalles del recurso

Pertenece a: UCL University College London Eprints

Descripción: X-ray mammography is routinely used in national screening programmes and as a clinical diagnostic tool. Magnetic Resonance Imaging (MRI) is commonly used as a complementary modality, providing functional information about the breast and a 3D image that can overcome ambiguities caused by the superimposition of fibro-glandular structures associated with X-ray imaging. Relating findings between these modalities is a challenging task however, due to the different imaging processes involved and the large deformation that the breast undergoes. In this work we present a registration method to determine spatial correspondence between pairs of MR and X-ray images of the breast, that is targeted for clinical use. We propose a generic registration framework which incorporates a volume-preserving affine transformation model and validate its performance using routinely acquired clinical data. Experiments on simulated mammograms from 8 volunteers produced a mean registration error of 3.8±1.6mm for a mean of 12 manually identified landmarks per volume. When validated using 57 lesions identified on routine clinical CC and MLO mammograms (n=113 registration tasks) from 49 subjects the median registration error was 13.1mm. When applied to the registration of an MR image to CC and MLO mammograms of a patient with a localisation clip, the mean error was 8.9mm. The results indicate that an intensity based registration algorithm, using a relatively simple transformation model, can provide radiologists with a clinically useful tool for breast cancer diagnosis.

Id.: 55229923

Idioma: eng  -

Versión: 1.0

Tipo de recurso: Article  -

Audiencia: Estudiante  -  Profesor  -  Autor  -

Estructura: Atomic

Coste: no

Requerimientos técnicos:  Browser: Any -

Relación: [IsBasedOn] Med Image Anal , 16 (5) 966 - 975. (2012)

Fecha de contribución: 13-ago-2013

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