Abstract
A joint reconstruction framework for multi-contrast MR images is presented and evaluated. The evaluation takes place in function of quality criteria based on reconstruction results and performance in the automatic segmentation of Multiple Sclerosis (MS) lesions. We show that joint reconstruction can effectively recover artificially corrupted images and is robust to noise.
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Gómez, P., Sperl, J., Sprenger, T., Metzler-Baddeley, C., Jones, D., Saemann, P. (2015). Joint Reconstruction of Multi-Contrast MRI for Multiple Sclerosis Lesion Segmentation. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_28
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DOI: https://doi.org/10.1007/978-3-662-46224-9_28
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