用于皮层下脑三维形状模型质量控制的深度学习
神经元与认知
2018-09-05 v2
摘要
我们提出了若干深度学习模型，用于评估从脑MRI中提取的深灰质区域模型的形态测量保真度。我们在几何特征的2D图上测试了三种不同的卷积神经网络架构（VGGNet、ResNet和Inception）。此外，我们提出了一种基于参数化球面映射的新颖几何特征增强技术。最后，我们提出了一种模型决策可视化方法，使人工评分者能够看到最可能被机器判定为质量不合格的皮层下形状区域。我们的训练数据来自ENIGMA精神分裂症MRI队列的5200名受试者，测试数据集包含ENIGMA重度抑郁症队列的1500名受试者。我们的最终模型将人工评分时间减少了46-70%。在所有预测任务中，ResNet均优于VGGNet和Inception。
引用
@article{arxiv.1808.10315,
title = {Deep Learning for Quality Control of Subcortical Brain 3D Shape Models},
author = {Dmitry Petrov and Boris A. Gutman Egor Kuznetsov and Theo G. M. van Erp and Jessica A. Turner and Lianne Schmaal and Dick Veltman and Lei Wang and Kathryn Alpert and Dmitry Isaev and Artemis Zavaliangos-Petropulu and Christopher R. K. Ching and Vince Calhoun and David Glahn and Theodore D. Satterthwaite and Ole Andreas Andreassen and Stefan Borgwardt and Fleur Howells and Nynke Groenewold and Aristotle Voineskos and Joaquim Radua and Steven G. Potkin and Benedicto Crespo-Facorro and Diana Tordesillas-Gutierrez and Li Shen and Irina Lebedeva and Gianfranco Spalletta and Gary Donohoe and Peter Kochunov and Pedro G. P. Rosa and Anthony James and Udo Dannlowski and Bernhard T. Baune and Andre Aleman and Ian H. Gotlib and Henrik Walter and Martin Walter and Jair C. Soares and Stefan Ehrlich and Ruben C. Gur and N. Trung Doan and Ingrid Agartz and Lars T. Westlye and Fabienne Harrisberger and Anita Riecher-Rossler and Anne Uhlmann and Dan J. Stein and Erin W. Dickie and Edith Pomarol-Clotet and Paola Fuentes-Claramonte and Erick Jorge Canales-Rodriguez and Raymond Salvador and Alexander J. Huang and Roberto Roiz-Santianez and Shan Cong and Alexander Tomyshev and Fabrizio Piras and Daniela Vecchio and Nerisa Banaj and Valentina Ciullo and Elliot Hong and Geraldo Busatto and Marcus V. Zanetti and Mauricio H. Serpa and Simon Cervenka and Sinead Kelly and Dominik Grotegerd and Matthew D. Sacchet and Ilya M. Veer and Meng Li and Mon-Ju Wu and Benson Irungu and Esther Walton and Paul M. Thompson},
journal= {arXiv preprint arXiv:1808.10315},
year = {2018}
}
备注
Accepted to Shape in Medical Imaging (ShapeMI) workshop at MICCAI 2018. arXiv admin note: substantial text overlap with arXiv:1707.06353