A priori Guided Reconstruction for FDOT Using Mixed Norms

We propose new soft-prior approach for incorporating structural a priori in FDOT reconstruction. The technique is a non-linear regularization scheme based on the penalization of the (2, 1)-mixed norm. We solve the numerical reconstruction problem with an iterative thresholding-type algorithm. We present simulation results that demonstrate an improvement both in resolution and fluorophore concentration estimation, compared to prior-free approaches.


Published in:
Proceedings of the Seventh IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'10), Rotterdam, The Netherlands, 692–695
Year:
2010
Publisher:
IEEE
Laboratories:




 Record created 2015-09-18, last modified 2018-10-07

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