Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images.
Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images.
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DOI：
10.1016/j.media.2014.05.002
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发表时间：
2014-10
影响因子：
10.9
通讯作者：
Obenaus, Andre
中科院分区：
文献类型：
--
作者：
Ghosh, Nirmalya;Sun, Yu;Bhanu, Bir;Ashwal, Stephen;Obenaus, Andre
我们比较了三种自动化脑损伤检测方法的有效性，即在人类和动物磁共振成像（MRI）数据集中检测缺氧缺血性损伤（HII）的集成区域生长（SIRG），分层区域分裂（HRS）和改进的分水岭分割（MWS）。应用新生儿动脉缺血性卒中（AIS）患者的弥散加权成像（DWI，1.5T）数据和大鼠缺氧缺血性损伤模型的7个不同时间点（HII后1、4、7、10、17、24和31天）的T2加权成像（T2 WI，11.7T、4.7T）数据来检查我们的计算方法的时间有效性。灵敏度、特异性、相似性被用作基于手动（“金标准”）损伤检测的性能度量，以量化比较。与手动黄金标准相比，SIRG的自动损伤定位结果在62%的数据中表现最好，HRS为29%，MWS为9%。损伤严重度检测显示，SIRG在67%的情况下表现最好，而HRS为33%的数据。HRS和MWS需要事先提供信息，但SIRG不需要。然而，SIRG是敏感的参数调整，而HRS和MWS不是。在这些方法中，SIRG在检测病变体积方面表现最好; HRS是最鲁棒的，而MWS在这两方面都落后。
We compared the efficacy of three automated brain injury detection methods, namely symmetry-integrated region growing (SIRG), hierarchical region splitting (HRS) and modified watershed segmentation (MWS) in human and animal magnetic resonance imaging (MRI) datasets for the detection of hypoxic ischemic injuries (HII). Diffusion weighted imaging (DWI, 1.5T) data from neonatal arterial ischemic stroke (AIS) patients, as well as T2-weighted imaging (T2WI, 11.7T, 4.7T) at seven different time-points (1, 4, 7, 10, 17, 24 and 31 days post HII) in rat-pup model of hypoxic ischemic injury were used to check the temporal efficacy of our computational approaches. Sensitivity, specificity, similarity were used as performance metrics based on manual (‘gold standard’) injury detection to quantify comparisons. When compared to the manual gold standard, automated injury location results from SIRG performed the best in 62% of the data, while 29% for HRS and 9% for MWS. Injury severity detection revealed that SIRG performed the best in 67% cases while HRS for 33% data. Prior information is required by HRS and MWS, but not by SIRG. However, SIRG is sensitive to parameter-tuning, while HRS and MWS are not. Among these methods, SIRG performs the best in detecting lesion volumes; HRS is the most robust, while MWS lags behind in both respects.
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DOI：
10.1023/b:visi.0000029664.99615.94
发表时间：
2004-11-01
影响因子：
19.5
作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
Kopriva, Ivica
影响因子：
3.9
作者：
Khotanlou, Hassan;Colliot, Olivier;Bloch, Isabelle
通讯作者：
Bloch, Isabelle