Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII
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医学图像计算和计算机辅助干预 - MICCAI 2023 - 第 26 届国际会议，加拿大不列颠哥伦比亚省温哥华，2023 年 10 月 8-12 日，会议记录，第八部分
DOI：
10.1007/978-3-031-43993-3_39
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Kirk T
中科院分区：
文献类型：
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作者：
Kirk T
基于表面的功能成像数据分析方法已被证明为人类皮质的研究提供了实质性的好处，即在功能区的定位和建立受试者之间的对应关系方面。提出了一种基于函数时间序列数据的非线性模型拟合表面参数估计的新方法。它以最合适的方式处理大脑内的不同解剖结构：皮质基于表面，白质基于体积，皮质下灰质结构使用感兴趣区域。这些不同区域之间的映射是使用一种考虑部分体积效应的新算法进行合并的。变分贝叶斯框架被用来同时而不是分开地在所有解剖结构中执行参数推断。这种被称为混合推理的方法是使用随机优化技术实现的。与传统的体积工作流程和模拟灌注数据的后投影相比，显示出更好的参数恢复、空间细节保持和空间分辨率之间的一致性。在各向同性分辨率为4 mm时，灌注的SSD误差为2.7%，Z-Score的SSD误差为16%，Bhattacharyya距离为27%。
Surface-based analysis methods for functional imaging data have been shown to offer substantial benefits for the study of the human cortex, namely in the localisation of functional areas and the establishment of inter-subject correspondence. A new approach for surface-based parameter estimation via non-linear model fitting on functional timeseries data is presented. It treats the different anatomies within the brain in the manner that is most appropriate: surface-based for the cortex, volumetric for white matter, and using regions-of-interest for subcortical grey matter structures. The mapping between these different domains is incorporated using a novel algorithm that accounts for partial volume effects. A variational Bayesian framework is used to perform parameter inference in all anatomies simultaneously rather than separately. This approach, called hybrid inference, has been implemented using stochastic optimisation techniques. A comparison against a conventional volumetric workflow with post-projection on simulated perfusion data reveals improvements parameter recovery, preservation of spatial detail and consistency between spatial resolutions. At 4 mm isotropic resolution, the following improvements were obtained: 2.7% in SSD error of perfusion, 16% in SSD error of Z-score perfusion, and 27% in Bhattacharyya distance of perfusion distribution.