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Abstract #2835

An efficient facial de-identification method for structural 3D neuroimages

Ke Gan1 and Weitian Chen1

1Department of Imaging and Interventional Radiology, The Chinese University of HongKong, SHATIN, Hong Kong

A major challenge to facial de-identification in 3D brain MR images is to find a trade-off between patient privacy protection and retaining the usefulness of the image data. An efficient facial de-identification method is proposed. The method can efficiently conceal identifiable facial details in the 3D brain MR images while maintaining the usefulness of the data. The experimental results indicated the proposed method can achieve the state-of-the-art performance and retain more image data in comparison with the currently available tools.

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