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Abstract:
A novel reconstruction algorithm for bioluminescence tomography was proposed by combining sparse (L1 norm) and total variation regularizations. Results of simulation image reconstructions showed that the proposed algorithm could improve the quantification of reconstructed bioluminescence sources. © OSA 2018.
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Year: 2018
Volume: Part F91-TRANSLATIONAL 2018
Language: English
Cited Count:
WoS CC Cited Count: 0
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ESI Highly Cited Papers on the List: 0 Unfold All
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Chinese Cited Count:
30 Days PV: 6
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