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Carmel Hayes

Researcher at Siemens

Publications -  57
Citations -  7677

Carmel Hayes is an academic researcher from Siemens. The author has contributed to research in topics: Breast MRI & Breast cancer. The author has an hindex of 23, co-authored 55 publications receiving 7279 citations. Previous affiliations of Carmel Hayes include Institute of Cancer Research & The Royal Marsden NHS Foundation Trust.

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Nonrigid registration using free-form deformations: application to breast MR images

TL;DR: The results clearly indicate that the proposed nonrigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.
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Assessing changes in tumour vascular function using dynamic contrast-enhanced magnetic resonance imaging

TL;DR: Investigation of correlations between qualitatative and quantitative methods of analysis for DCE‐MR images from breast cancer patients undergoing neo‐adjuvant chemotherapy found changes in the rate of enhancement correlated strongly with changes in Ktrans values, and it was found that the shape of the signal enhancement curve only changed when the K trans values changed by 50% or more.
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Prediction of clinicopathologic response of breast cancer to primary chemotherapy at contrast-enhanced MR imaging: Initial clinical results

TL;DR: Reductions in MR imaging-determined size of the primary tumor best predict clinicopathologic response of breast cancer after one cycle of neoadjuvant chemotherapy.
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Reproducibility of quantitative dynamic MRI of normal human tissues.

TL;DR: Fat and the femoral head are unreliable tissues from which to obtain kinetic parameter estimates due to poor enhancement and Reproducibility studies of normal and pathological tissues should be incorporated into clinical research protocols that measure treatment effects by DCE‐MRI techniques.
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Comparison and evaluation of rigid, affine, and nonrigid registration of breast MR images

TL;DR: Nonrigid registration significantly reduces the effects of movement artifact in subtracted contrast-enhanced breast MRI, which may enable better visualization of small tumors and those within a glandular breast.