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首页> 外文会议>Conference on Biomedical Applications in Molecular, Structural, and Functional Imaging >Registration Pipeline for Pulmonary Free-Breathing ~1H MRI Ventilation Measurements
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Registration Pipeline for Pulmonary Free-Breathing ~1H MRI Ventilation Measurements

机译：用于肺部自由呼吸〜1H的注册管线〜1H MRI通风测量

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Objectives: Our aim was to develop a clinically-practical and physiologically-relevant approach for regional structure-function measurements of the lung using Fourier decomposition of free-breathing pulmonary magnetic resonance imaging (FDMRI). Methods: Ten patients with chronic obstructive pulmonary disease provided written informed consent to a study protocol approved by Health Canada and completed pulmonary function tests, ~1H/hyperpolarized noble gas and free-breathing pulmonary magnetic resonance imaging (MRI) during a single 2-hour visit. Free-breathing ~1H MRI was simultaneously segmented using a multi-region coupled continuous max-flow approach by exploring primal/dual analysis and convex optimization techniques. The segmented free-breathing ~1H MRI lung was registered using deformable registration approach that was developed using dual and convex optimization methods to compensate for respiratory/cardiac motion. Fourier decomposition of the co-registered lung was used to generate pulmonary functional information that was quantified as ventilation-defect-percent (VDP). The pipeline was implemented on a GPU for speed-up. Lung segmentation accuracy was measured by comparing algorithm and manual lung masks using Dice-similarity-coefhcient (DSC). FD-VDP was compared to ~3He-VDP using Pearson correlation coefficient and Bland-Altman analysis. The reproducibility of our algorithm was measured using coefficient of variation (CoV) and intraclass correlation coefficient (ICC) for DSC and FD-VDP. Results: The pipeline yielded a whole lung DSC of 95.7±1.7% and FD-VDP that were correlated with ~3He-VDP (r = 0.81, p = 0.004). CoV (ICC) were 0.4% (0.98) and 4.1% (0.98) for whole lung DSC and FD-VDP, respectively. The proposed approach requires ~45 min for parallel implementation with minimal user interaction. Conclusion: The proposed approach provides a clinically-practical pipeline to generate regional pulmonary structure-function measurements using free-breathing pulmonary ~1H MRI with promising potential for widespread clinical translation.
机译：目的：我们的目的是利用自由呼吸的肺磁共振成像（FDMRI）傅里叶分解在临床 - 实际和生理相关的肺部区域结构函数测量方法。方法：10例慢性阻塞性肺病患者提供书面知情同意，通过卫生加拿大批准的研究议定书，完成肺功能试验，〜1H /超极化的惰性气体和自由呼吸肺磁共振成像（MRI）在单个2小时内访问。通过探索原始/双分析和凸优化技术，使用多区域耦合连续的最大流动方法同时分割自由呼吸〜1H MRI。通过使用双重和凸优化方法开发的可变形的登记方法登记分段的自由呼吸〜1H MRI Lung，以补偿呼吸/心动运动。共登记肺的傅里叶分解用于产生量化为通风缺陷百分比（VDP）的肺功能信息。管道在GPU上实施以加速。通过使用骰子相似性 - cofhcient（DSC）来测量肺部分割精度测量算法和手动肺掩模。使用Pearson相关系数和Bland-Altman分析将FD-VDP与〜3HE-VDP进行比较。使用变化系数（COV）和脑内相关系数（ICC）进行DSC和FD-VDP来测量我们的算法的再现性。结果：管道产生95.7±1.7％和与〜3HE-VDP（R = 0.81，P = 0.004）相关的FD-VDP的整个肺DSC。 COV（ICC）分别为整肺DSC和FD-VDP的0.4％（0.98）和4.1％（0.98）。提出的方法需要〜45分钟，用于并行实现，具有最小的用户交互。结论：该方法提供了一种临床实际的管道，可以使用自由呼吸的肺部〜1H MRI产生区域肺部结构功能测量，具有广泛的临床翻译的有希望的潜力。

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