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用于重症监护病房患者神经成像的具有多物质分解方法的移动式光子计数探测器CT

Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit.

作者信息

Park Su-Jin, Han Kwanhee, Park Junyoung, Min Jonghwan, Wu Dufan, Kim Doil, Kang Kyutae, Lee Duhgoon, Gupta Rajiv, Jung Jinwook

机构信息

Health & Medical Equipment Business, Samsung Electronics Co., Ltd, 8, Gumi-ro, Bundang-gu, Seongnam- si, 13638, Gyeonggi-do, Republic of Korea.

Massachusetts General Hospital, 55 Fruit St., Radiology, Boston, MA, 02114, USA.

出版信息

Sci Rep. 2024 Dec 30;14(1):31745. doi: 10.1038/s41598-024-81735-x.

DOI:10.1038/s41598-024-81735-x
PMID:39738332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11685826/
Abstract

The photon-counting detector computed tomography (PCD-CT) is a promising new technology that provides more spectral information in medical imaging. PCD-CT enables bedside imaging in the neuro intensive care unit (neuro ICU) for patients with life-threatening conditions such as brain hemorrhage and ischemic stroke. The primary purpose of this study is to evaluate a multi-material decomposition algorithm available on PCD-CT, dubbed MD Plus, to differentiate between contrast agent and hemorrhage in hyperdense lesions. A certified multi-energy phantom was used to validate its performance with various x-ray exposure conditions and locations of contrast agent. The results from the quantitative analysis of multi-energy phantoms and the clinical cases of patients in the ICU demonstrated that MD Plus can accurately differentiate between the contrast agent and the hemorrhage. The extended MD Plus algorithm, including virtual non-contrast (VNC) and bone removal, was also validated for various clinical applications.

摘要

光子计数探测器计算机断层扫描（PCD-CT）是一项很有前景的新技术，可在医学成像中提供更多光谱信息。PCD-CT能够在神经重症监护病房（神经ICU）为患有脑出血和缺血性中风等危及生命疾病的患者进行床边成像。本研究的主要目的是评估PCD-CT上可用的一种多物质分解算法，即MD Plus，以区分高密度病变中的造影剂和出血。使用经过认证的多能量体模在各种X射线曝光条件和造影剂位置下验证其性能。多能量体模的定量分析结果和ICU患者的临床病例表明，MD Plus能够准确区分造影剂和出血。扩展的MD Plus算法，包括虚拟平扫（VNC）和去骨，也在各种临床应用中得到了验证。

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3
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4
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Neurol Neurochir Pol. 2022;56(1):68-74. doi: 10.5603/PJNNS.a2022.0005. Epub 2022 Jan 5.
5
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6
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7
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Dual-energy bone removal computed tomography (BRCT): preliminary report of efficacy of acute intracranial hemorrhage detection.双能去骨计算机断层扫描（BRCT）：急性颅内出血检测效能的初步报告
Emerg Radiol. 2018 Feb;25(1):29-33. doi: 10.1007/s10140-017-1558-7. Epub 2017 Sep 20.
10
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