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DblurDoseNet: A Deep Residual Learning Network for Voxel Radionuclide Dosimetry Compensating for SPECT Imaging Resolution

2021-03-17

Abstract excerpt

<title>Abstract</title> <p>PurposeCurrent methods for patient specific voxel-level dosimetry in radionuclide therapy suffer from a trade-off between accuracy and computational efficiency. Monte Carlo (MC) radiation transport is considered as the gold standard but is computationally expensive, while faster dose voxel kernel (DVK) convolution can be sub-optimal in the presence of tissue heterogeneities. Furthermore...

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Literature Corpus work
6e62c2df-79fe-56f9-b1fa-c81c5ff2710b
DOI
10.21203/rs.3.rs-304351/v1
Open publication

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DblurDoseNet: A Deep Residual Learning Network for Voxel Radionuclide Dosimetry Compensating for SPECT Imaging ResolutionDOI 10.21203/rs.3.rs-304351/v1
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