改进的CTA成像用于脑卒中评估——深度学习与迭代重建的比较研究。

IF 2.6 3区 医学 Q2 CLINICAL NEUROLOGY
Michal Pula, Emilia Kucharczyk, Marcin Piersiak, Maciej Ziomek, Agata Zdanowicz-Ratajczyk, Maciej Guzinski
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引用次数: 0

摘要

目的:本研究比较了一种新的基于深度学习的图像重建算法(DLIR)和自适应统计迭代重建- veo (ASIR-V)用于急性缺血性卒中(AIS)患者的CTA重建算法,强调DLIR在提高大血管闭塞诊断准确性和可视化方面的潜力。方法:本研究回顾性评估了108例连续疑似ais的急诊科患者(平均年龄72.3岁+/- 17岁),这些患者接受了头颈部CTA并进行了DLIR和ASIR-V重建。该分析比较了DLIR与ASIR-V对图像质量的影响,评估了头颈部包括三条动脉在内的六个感兴趣区域的信噪比(SNR)、对比噪声比(CNR)和对比度增强动脉均匀性(通过平均HU值和SD计算)。结果:DLIR重建可显著改善信噪比和CNR,其中颈总动脉(信噪比提高52.29%)和桥脑白质(信噪比提高63.98%)信噪比差异最大。在CNR评价的三个区域中,DLIR在颈部和脑后窝具有优势,而ASIR-V在脑内窝(MCF)具有较高的CNR。此外,dlir重建图像在动脉均匀性方面提高了21.10%,增强了潜在闭塞的可视化。结论:DLIR在CTA中获得了对比度增强的头颈部结构的优越图像质量,为动脉图像提供了更高的均匀性,并可能允许更熟练的闭塞评估,特别是在脑后窝区域。然而,该技术在MCF的可视化方面面临挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved CTA imaging for stroke evaluation - deep learning and iterative reconstruction comparative study.

Purpose: This study compares a novel reconstruction algorithm deep learning-based image reconstruction (DLIR) and adaptive statistical iterative reconstruction-Veo (ASIR-V) for CTA in acute ischemic stroke (AIS) patients, emphasizing DLIR's potential to improve diagnostic accuracy and visualization of large vessel occlusion.

Methods: This study retrospectively assessed 108 consecutive AIS-suspected emergency department patients (mean age 72.3 years +/- 17) who underwent head and neck CTA with DLIR and ASIR-V reconstructions. The analysis compared the impact of DLIR versus ASIR-V on image quality, assessing signal-to-noise (SNR), contrast-to-noise ratios (CNR), and contrast-enhanced arteries homogeneity computed on mean HU values and SD in six regions of interest located in head and neck including three arteries.

Results: The DLIR reconstruction allowed for significant SNR and CNR improvement, with the largest SNR distinction obtained in the common carotid artery (52.29% increased SNR) and white matter of the pons (63.98% increased SNR). Among the three regions subject to CNR evaluation DLIR yielded superiority in the neck and posterior cerebral fossa while ASIR-V accounted for higher CNR in the medial cerebral fossa (MCF). Additionally, DLIR-reconstructed images achieved a 21.10% improvement in arterial homogeneity, enhancing the visualization of potential occlusion.

Conclusion: DLIR yields superior image quality of the contrast-enhanced head and neck structures in CTA, providing artery images with increased homogeneity and potentially allowing for more proficient occlusion evaluation specifically in the area of the posterior cerebral fossa. However, this technique faces challenges in the visualization of MCF.

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来源期刊
Neuroradiology
Neuroradiology 医学-核医学
CiteScore
5.30
自引率
3.60%
发文量
214
审稿时长
4-8 weeks
期刊介绍: Neuroradiology aims to provide state-of-the-art medical and scientific information in the fields of Neuroradiology, Neurosciences, Neurology, Psychiatry, Neurosurgery, and related medical specialities. Neuroradiology as the official Journal of the European Society of Neuroradiology receives submissions from all parts of the world and publishes peer-reviewed original research, comprehensive reviews, educational papers, opinion papers, and short reports on exceptional clinical observations and new technical developments in the field of Neuroimaging and Neurointervention. The journal has subsections for Diagnostic and Interventional Neuroradiology, Advanced Neuroimaging, Paediatric Neuroradiology, Head-Neck-ENT Radiology, Spine Neuroradiology, and for submissions from Japan. Neuroradiology aims to provide new knowledge about and insights into the function and pathology of the human nervous system that may help to better diagnose and treat nervous system diseases. Neuroradiology is a member of the Committee on Publication Ethics (COPE) and follows the COPE core practices. Neuroradiology prefers articles that are free of bias, self-critical regarding limitations, transparent and clear in describing study participants, methods, and statistics, and short in presenting results. Before peer-review all submissions are automatically checked by iThenticate to assess for potential overlap in prior publication.
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