年轻女性脑垂体核磁共振成像图集。

IF 2.7 3区 医学 Q1 ANATOMY & MORPHOLOGY
Brain Structure & Function Pub Date : 2024-05-01 Epub Date: 2024-03-19 DOI:10.1007/s00429-024-02779-3
Manel Merabet Zennadi, Maurice Ptito, Jérôme Redouté, Nicolas Costes, Claire Boutet, Natacha Germain, Bogdan Galusca, Fabien C Schneider
{"title":"年轻女性脑垂体核磁共振成像图集。","authors":"Manel Merabet Zennadi, Maurice Ptito, Jérôme Redouté, Nicolas Costes, Claire Boutet, Natacha Germain, Bogdan Galusca, Fabien C Schneider","doi":"10.1007/s00429-024-02779-3","DOIUrl":null,"url":null,"abstract":"<p><p>The probabilistic topography and inter-individual variability of the pituitary gland (PG) remain undetermined. The absence of a standardized reference atlas hinders research on PG volumetrics. In this study, we aimed at creating maximum probability maps for the anterior and posterior PG in young female adults. We manually delineated the anterior and posterior parts of the pituitary glands in 26 healthy subjects using high-resolution MRI T1 images. A three-step procedure and a cost function-masking approach were employed to optimize spatial normalization for the PG. We generated probabilistic atlases and maximum probability maps, which were subsequently coregistered back to the subjects' space and compared to manual delineations. Manual measurements led to a total pituitary volume of 705 ± 88 mm³, with the anterior and posterior volumes measuring 614 ± 82 mm³ and 91 ± 20 mm³, respectively. The mean relative volume difference between manual and atlas-based estimations was 1.3%. The global pituitary atlas exhibited an 80% (± 9%) overlap for the DICE index and 67% (± 11%) for the Jaccard index. Similarly, these values were 77% (± 13%) and 64% (± 14%) for the anterior pituitary atlas and 62% (± 21%) and 47% (± 17%) for the posterior PG atlas, respectively. We observed a substantial concordance and a significant correlation between the volume estimations of the manual and atlas-based methods for the global pituitary and anterior volumes. The maximum probability maps of the anterior and posterior PG lay the groundwork for automatic atlas-based segmentation methods and the standardized analysis of large PG datasets.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":" ","pages":"1001-1010"},"PeriodicalIF":2.7000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MRI atlas of the pituitary gland in young female adults.\",\"authors\":\"Manel Merabet Zennadi, Maurice Ptito, Jérôme Redouté, Nicolas Costes, Claire Boutet, Natacha Germain, Bogdan Galusca, Fabien C Schneider\",\"doi\":\"10.1007/s00429-024-02779-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The probabilistic topography and inter-individual variability of the pituitary gland (PG) remain undetermined. The absence of a standardized reference atlas hinders research on PG volumetrics. In this study, we aimed at creating maximum probability maps for the anterior and posterior PG in young female adults. We manually delineated the anterior and posterior parts of the pituitary glands in 26 healthy subjects using high-resolution MRI T1 images. A three-step procedure and a cost function-masking approach were employed to optimize spatial normalization for the PG. We generated probabilistic atlases and maximum probability maps, which were subsequently coregistered back to the subjects' space and compared to manual delineations. Manual measurements led to a total pituitary volume of 705 ± 88 mm³, with the anterior and posterior volumes measuring 614 ± 82 mm³ and 91 ± 20 mm³, respectively. The mean relative volume difference between manual and atlas-based estimations was 1.3%. The global pituitary atlas exhibited an 80% (± 9%) overlap for the DICE index and 67% (± 11%) for the Jaccard index. Similarly, these values were 77% (± 13%) and 64% (± 14%) for the anterior pituitary atlas and 62% (± 21%) and 47% (± 17%) for the posterior PG atlas, respectively. We observed a substantial concordance and a significant correlation between the volume estimations of the manual and atlas-based methods for the global pituitary and anterior volumes. The maximum probability maps of the anterior and posterior PG lay the groundwork for automatic atlas-based segmentation methods and the standardized analysis of large PG datasets.</p>\",\"PeriodicalId\":9145,\"journal\":{\"name\":\"Brain Structure & Function\",\"volume\":\" \",\"pages\":\"1001-1010\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain Structure & Function\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00429-024-02779-3\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ANATOMY & MORPHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Structure & Function","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00429-024-02779-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ANATOMY & MORPHOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

垂体(PG)的概率地形图和个体间变异性仍未确定。标准化参考图集的缺乏阻碍了对垂体体积的研究。在这项研究中,我们的目标是绘制年轻女性成人垂体前叶和垂体后叶的最大概率图。我们使用高分辨率核磁共振成像 T1 图像,对 26 名健康受试者的垂体前部和后部进行了人工划定。我们采用了三步法和成本函数掩蔽法来优化垂体前叶的空间归一化。我们生成了概率图集和最大概率图,随后将它们与受试者的空间进行核心注册,并与人工划线进行比较。人工测量得出的垂体总体积为 705 ± 88 mm³,前部和后部体积分别为 614 ± 82 mm³和 91 ± 20 mm³。手动测量与基于图谱的估计之间的平均相对体积差为 1.3%。全球垂体图谱的 DICE 指数重叠率为 80%(± 9%),Jaccard 指数重叠率为 67%(± 11%)。同样,垂体前叶图谱的重叠率分别为 77%(± 13%)和 64%(± 14%),垂体后叶图谱的重叠率分别为 62%(± 21%)和 47%(± 17%)。我们观察到,手动方法和基于地图集的方法对垂体整体和前部体积的估算结果非常一致,并存在显著相关性。垂体前叶和垂体后叶的最大概率图为基于图集的自动分割方法和大型垂体前叶数据集的标准化分析奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

MRI atlas of the pituitary gland in young female adults.

MRI atlas of the pituitary gland in young female adults.

The probabilistic topography and inter-individual variability of the pituitary gland (PG) remain undetermined. The absence of a standardized reference atlas hinders research on PG volumetrics. In this study, we aimed at creating maximum probability maps for the anterior and posterior PG in young female adults. We manually delineated the anterior and posterior parts of the pituitary glands in 26 healthy subjects using high-resolution MRI T1 images. A three-step procedure and a cost function-masking approach were employed to optimize spatial normalization for the PG. We generated probabilistic atlases and maximum probability maps, which were subsequently coregistered back to the subjects' space and compared to manual delineations. Manual measurements led to a total pituitary volume of 705 ± 88 mm³, with the anterior and posterior volumes measuring 614 ± 82 mm³ and 91 ± 20 mm³, respectively. The mean relative volume difference between manual and atlas-based estimations was 1.3%. The global pituitary atlas exhibited an 80% (± 9%) overlap for the DICE index and 67% (± 11%) for the Jaccard index. Similarly, these values were 77% (± 13%) and 64% (± 14%) for the anterior pituitary atlas and 62% (± 21%) and 47% (± 17%) for the posterior PG atlas, respectively. We observed a substantial concordance and a significant correlation between the volume estimations of the manual and atlas-based methods for the global pituitary and anterior volumes. The maximum probability maps of the anterior and posterior PG lay the groundwork for automatic atlas-based segmentation methods and the standardized analysis of large PG datasets.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Brain Structure & Function
Brain Structure & Function 医学-解剖学与形态学
CiteScore
6.00
自引率
6.50%
发文量
168
审稿时长
8 months
期刊介绍: Brain Structure & Function publishes research that provides insight into brain structure−function relationships. Studies published here integrate data spanning from molecular, cellular, developmental, and systems architecture to the neuroanatomy of behavior and cognitive functions. Manuscripts with focus on the spinal cord or the peripheral nervous system are not accepted for publication. Manuscripts with focus on diseases, animal models of diseases, or disease-related mechanisms are only considered for publication, if the findings provide novel insight into the organization and mechanisms of normal brain structure and function.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信