Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings
Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings
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医学图像理解与分析 - 第 25 届年会，MIUA 2021，英国牛津，2021 年 7 月 12-14 日，会议记录
DOI：
10.1007/978-3-030-80432-9_17
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Bagur A
中科院分区：
文献类型：
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作者：
Bagur A
胰腺的多参数MRI可以从多个采集的融合中获益。然而，其小而不规则的结构往往导致采集之间的器官排列不良，可能导致不准确的量化。最近的研究使用英国生物银行的数据，提出使用胰腺分割从三维体积扫描提取感兴趣的区域在二维定量地图。这些研究的一个局限性是没有考虑到体积扫描和单层扫描之间潜在的不对准。在本文中，我们报告了一种具有多模态相似性的切片-体积配准（SVR）方法，该方法将UK Biobank胰腺3D采集与2D采集对齐，从而更准确地对个体胰腺T1进行下游量化。我们在一个具有挑战性的英国生物银行N = 50的子集上验证了SVR方法，使用直接和间接的性能指标。
Multiparametric MRI of the pancreas can potentially benefit from the fusion of multiple acquisitions. However, its small, irregular structure often results in poor organ alignment between acquisitions, potentially leading to inaccurate quantification. Recent studies using UK Biobank data have proposed using pancreas segmentation from a 3D volumetric scan to extract a region of interest in 2D quantitative maps. A limitation of these studies is that potential misalignment between the volumetric and single-slice scans has not been considered. In this paper, we report a slice-to-volume registration (SVR) method with multimodal similarity that aligns the UK Biobank pancreatic 3D acquisitions with the 2D acquisitions, leading to more accurate downstream quantification of an individual’s pancreas T1. We validate the SVR method on a challenging UK Biobank subset of N = 50, using both direct and indirect performance metrics.