Article

Optimal acquisition sequence for AI-assisted brain tumor segmentation under the constraint of largest information gain per additional MRI sequence

2022-02-09

Abstract excerpt

Purpose Different imaging sequences (T1 etc.) depict different aspects of a brain tumor. As clinical MRI examinations of the brain might be terminated prematurely, not all sequences may be acquired, decreasing the performance of automated tumor segmentation. We attempt to optimize the order of sequences, to maximize information gain in case of incomplete examination. Methods For segmentation we used the winner alg...

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Radiomics and Machine Learning in Medical Imaging

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Literature Corpus work: d33e0a8f-bdfc-53a8-a00e-9b66a9736e77
DOI: 10.1016/j.neuri.2022.100053

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