IMR Press / JIN / Volume 23 / Issue 10 / DOI: 10.31083/j.jin2310193
Open Access Review
Emerging Applications of Image Post-Processing 3D Visualisation for Cerebrovascular Diseases
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Affiliation
1 Department of Neurosurgery, The Affiliated Hospital of Kunming University of Science and Technology, 650100 Kunming, Yunnan, China
2 Department of Neurosurgery, The First People's Hospital of Yunnan Province, 650100 Kunming, Yunnan, China
3 Department of Neurosurgery, Yunnan Provincial Hospital of Traditional Chinese Medicine, 650032 Kunming, Yunnan, China
*Correspondence: zshuai@kust.edu.cn (Shuai Zhou)
J. Integr. Neurosci. 2024, 23(10), 193; https://doi.org/10.31083/j.jin2310193
Submitted: 14 January 2024 | Revised: 25 May 2024 | Accepted: 21 June 2024 | Published: 18 October 2024
Copyright: © 2024 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Intracranial vascular-related diseases are a common occurrence in neurosurgery. They have complex and diverse pathogeneses; further, their diagnosis and treatment remain unclear. Three-dimensional image post-processing technology is an emerging technology that involves converting a brain image scan into a digital model using image post-processing software, thus establishing a 3D view of the region of interest. Three-dimensional visualisation of the brains of patients with cerebrovascular diseases can allow a more intuitive examination of the local anatomy of the lesion as well as the adjacency between the lesion and peripheral nerves, brain tissue, and skull bones. Subsequently, this informs pre-operative planning, allows more accurate diagnosis of cerebrovascular diseases, and improves the safety of surgical treatment. This review summarised the current literature regarding cerebrovascular diseases and the application of 3D image post-processing technology in different cerebrovascular diseases.

Keywords
image post-processing technology
cerebrovascular disease
pituitary tumour
trigeminal neuralgia
3D modelling
Funding
XDYC-QNRC-2022-0320/ Xingdian Talent Support Plan Project
KUST-KH2023028Y/ Joint Projects of Kunming University of Science and Technology and Medical Science
Figures
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