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3D逼真的从外侧到内侧脑白质解剖与扩散张量成像融合,用于关键纤维束的动态可视化

Fusion of 3D photorealistic lateral-to-medial brain white matter dissection and diffusion tensor imaging for dynamic visualization of key fiber tracts.

作者信息

Armocida Daniele, Spiriev Toma, Milev Milko, Carbone Francesco, Wolf-Vollenbröker Michael, Sabel Michael, Rapp Marion, Cornelius Jan Frederick

机构信息

Università degli studi di Torino, Neuroscience Department "Rita Levi Montalcini", Neurosurgery Unit, Via Cherasco 15, 10126, Turin, TO, Italy.

IRCCS "Neuromed", via Atinense 18, Pozzilli, 86077, IS, Italy.

出版信息

Brain Spine. 2025 Apr 23;5:104261. doi: 10.1016/j.bas.2025.104261. eCollection 2025.

DOI:10.1016/j.bas.2025.104261
PMID:40469942
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12136766/
Abstract

INTRODUCTION

Knowledge of fiber tract organization is vital for understanding brain connectivity and function. Integrating traditional anatomical dissection with advanced imaging methods like diffusion tensor imaging (DTI) and 3D-photographic surface scanning (photogrammetry) provides detailed visualization of white matter (WM) pathways. However, both modalities are typically presented as separate 3D-models. This study presents photorealistic 3D photogrammetric models of lateral-to-medial dissections of clinically relevant fiber tracts combined with 3D DTI fiber tract data.

RESEARCH QUESTION

Can the integration of photorealistic 3D photogrammetric models and DTI data enhance the understanding of WM fiber tract anatomy and improve its educational and neurosurgical applications?

MATERIAL AND METHODS

One brain fixed using Klingler's method was dissected. Stepwise identification of the arcuate, superior longitudinal, inferior fronto-occipital fasciculi, uncinate fascicle, anterior commissure, Mayer's loop, and the internal capsule was documented with detailed 3D-photogrammetric models generated at each dissection step. Relevant fiber tracts were also generated from population-averaged DTI data using open-access databases and software.

RESULTS

Seven photorealistic models and five integrated DTI-photogrammetry fusion 3D models were produced. Data fusion in 3D software enabled integrated models showing spatial relationships and boundaries between fiber tracts, adjustable by viewing angle and opacity changes. Combining photogrammetry with DTI-segmentation added educational value for understanding 3D-localization and fiber tract trajectories.

DISCUSSION AND CONCLUSION

The photogrammetric models and DTI data presented enhance the comprehension of critical WM fiber tracts, benefiting education and surgical planning. Customizable views allow straightforward comparisons between Klingler dissection models and fully explorable DTI models, providing a comprehensive understanding of WM anatomy.

摘要

引言

纤维束组织的知识对于理解大脑连接性和功能至关重要。将传统解剖学解剖与扩散张量成像(DTI)和三维摄影表面扫描(摄影测量)等先进成像方法相结合,可提供白质(WM)通路的详细可视化。然而,这两种模式通常都呈现为单独的三维模型。本研究展示了临床相关纤维束从外侧到内侧解剖的逼真三维摄影测量模型,并结合了三维DTI纤维束数据。

研究问题

逼真的三维摄影测量模型与DTI数据的整合能否增强对WM纤维束解剖结构的理解,并改善其教育和神经外科应用?

材料与方法

对一个采用克林格勒方法固定的大脑进行解剖。在每个解剖步骤中,通过详细的三维摄影测量模型记录对弓形束、上纵束、额枕下束、钩束、前连合、迈耶袢和内囊的逐步识别。还使用开放获取数据库和软件从群体平均DTI数据中生成相关纤维束。

结果

制作了七个逼真模型和五个整合的DTI - 摄影测量融合三维模型。三维软件中的数据融合使整合模型能够显示纤维束之间的空间关系和边界,可通过视角和不透明度变化进行调整。将摄影测量与DTI分割相结合增加了理解三维定位和纤维束轨迹的教育价值。

讨论与结论

所展示的摄影测量模型和DTI数据增强了对关键WM纤维束的理解,对教育和手术规划有益。可定制视图允许直接比较克林格勒解剖模型和可全面探索的DTI模型,从而全面理解WM解剖结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/040c43bdba1d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/b377c66f2224/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/5453e3202c1e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/cbff681a9b32/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/9f585467ad08/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/9ef0b1054938/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/d4418c5733d4/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/040c43bdba1d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/b377c66f2224/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/5453e3202c1e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/cbff681a9b32/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/9f585467ad08/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/9ef0b1054938/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/d4418c5733d4/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef0b/12136766/040c43bdba1d/gr5.jpg

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