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使用临床可行的序列对视辐射进行全自动勾画,以用于手术规划。

Fully automated delineation of the optic radiation for surgical planning using clinically feasible sequences.

机构信息

The Australian e-Health Research Centre, CSIRO, Brisbane, Queensland, Australia.

Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases (ImaginEM), Hospital Clinic Barcelona, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain.

出版信息

Hum Brain Mapp. 2021 Dec 15;42(18):5911-5926. doi: 10.1002/hbm.25658. Epub 2021 Sep 21.

DOI:10.1002/hbm.25658
PMID:34547147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8596983/
Abstract

Quadrantanopia caused by inadvertent severing of Meyer's Loop of the optic radiation is a well-recognised complication of temporal lobectomy for conditions such as epilepsy. Dissection studies indicate that the anterior extent of Meyer's Loop varies considerably between individuals. Quantifying this for individual patients is thus an important step to improve the safety profile of temporal lobectomies. Previous attempts to delineate Meyer's Loop using diffusion MRI tractography have had difficulty estimating its full anterior extent, required manual ROI placement, and/or relied on advanced diffusion sequences that cannot be acquired routinely in most clinics. Here we present CONSULT: a pipeline that can delineate the optic radiation from raw DICOM data in a completely automated way via a combination of robust pre-processing, segmentation, and alignment stages, plus simple improvements that bolster the efficiency and reliability of standard tractography. We tested CONSULT on 696 scans of predominantly healthy participants (539 unique brains), including both advanced acquisitions and simpler acquisitions that could be acquired in clinically acceptable timeframes. Delineations completed without error in 99.4% of the scans. The distance between Meyer's Loop and the temporal pole closely matched both averages and ranges reported in dissection studies for all tested sequences. Median scan-rescan error of this distance was 1 mm. When tested on two participants with considerable pathology, delineations were successful and realistic. Through this, we demonstrate not only how to identify Meyer's Loop with clinically feasible sequences, but also that this can be achieved without fundamental changes to tractography algorithms or complex post-processing methods.

摘要

视辐射 Meyer 袢意外切断导致的象限盲是癫痫等疾病行颞叶切除术的一种公认并发症。解剖研究表明,Meyer 袢的前部范围在个体之间差异很大。因此,量化每位患者的 Meyer 袢范围对于提高颞叶切除术的安全性非常重要。先前使用扩散 MRI 示踪技术来描绘 Meyer 袢的尝试在估计其完整的前部范围、需要手动 ROI 放置和/或依赖无法在大多数临床科室常规获取的高级扩散序列方面存在困难。在这里,我们提出了 CONSULT:一种可以通过稳健的预处理、分割和对齐阶段,以及简单的改进,以完全自动化的方式从原始 DICOM 数据中描绘视辐射的流水线,这些改进可以提高标准示踪技术的效率和可靠性。我们在 696 名主要健康参与者的扫描(539 个独特的大脑)上测试了 CONSULT,包括高级采集和可以在临床可接受的时间内采集的更简单的采集。99.4%的扫描可以无误地完成描绘。Meyer 袢与颞极之间的距离与所有测试序列的解剖研究中的平均值和范围非常匹配。该距离的中位数扫描-重扫误差为 1 毫米。当在两名具有大量病理学的参与者上进行测试时,描绘是成功且合理的。通过这一点,我们不仅展示了如何使用临床可行的序列来识别 Meyer 袢,还展示了这可以在不改变示踪算法或复杂后处理方法的基本原理的情况下实现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/6c47548104c7/HBM-42-5911-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/8f688cf7664f/HBM-42-5911-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/63f9cbdb71db/HBM-42-5911-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/b3a4b19aa61b/HBM-42-5911-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/65c64478520c/HBM-42-5911-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/f725a5bb12a2/HBM-42-5911-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/466f4d3542c6/HBM-42-5911-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/1372ef5b19b0/HBM-42-5911-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/6c47548104c7/HBM-42-5911-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/8f688cf7664f/HBM-42-5911-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/63f9cbdb71db/HBM-42-5911-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/b3a4b19aa61b/HBM-42-5911-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/65c64478520c/HBM-42-5911-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/f725a5bb12a2/HBM-42-5911-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/466f4d3542c6/HBM-42-5911-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/1372ef5b19b0/HBM-42-5911-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e61/8596983/6c47548104c7/HBM-42-5911-g001.jpg

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