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Head CT Scans associated with 'Validated automatic brain extraction of head CT images'

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DataCite Commons2025-05-30 更新2024-07-13 收录
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https://archive.data.jhu.edu/citation?persistentId=doi:10.7281/T1/CZDPSX
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The data consists of 35 different subject's non-contrast CT scan, with 2 subjects having 2 scans but every other subject having one scan (in tarballs). One subject additionally has 2 scans, but from the same time point, but with different convolution kernels. Each scan has at least one reader's manual segmentation of the image to delineate the mask of the brain areas (including cerebrospinal fluid (CSF)). The data are from the Minimally-Invasive Surgery plus rt-PA for Intracerebral hemorrhage Evacuation (MISTIE) Phases II and III clinical trials the Clot Lysis: Evaluating Accelerated Resolution of Intraventricular Hemorrhage (CLEAR) Phase III clinical trial.   Each tarball contains a series of NIfTI (Neuroimaging Informatics Technology Initiative) files. These files can be read using common tools such as ITK-SNAP (http://www.itksnap.org/pmwiki/pmwiki.php), Mango (http://ric.uthscsa.edu/mango/), or Papaya (http://ric.uthscsa.edu/mango/papaya.html). Each image has manual segmentation from 2 different readers which is a binary image delineating the brain and an automated estimate of the brain by the method proposed in the paper below.

本数据集包含35名受试者的非增强CT扫描影像,其中2名受试者各有2次扫描,其余受试者均仅1次扫描,所有数据均以tarball压缩包形式存储。另有1名受试者虽拥有2次扫描,但二者采集时间点完全一致,仅所用卷积核参数存在差异。每一次扫描均至少配有1名阅片者手动分割得到的脑区(含脑脊液(cerebrospinal fluid, CSF))掩码,用于勾勒脑区范围。本数据集源自《微创外科联合重组组织型纤溶酶原激活剂治疗脑出血排空术(Minimally-Invasive Surgery plus rt-PA for Intracerebral hemorrhage Evacuation, MISTIE)》II期与III期临床试验,以及《血凝块溶解:评估脑室内出血加速消退(Clot Lysis: Evaluating Accelerated Resolution of Intraventricular Hemorrhage, CLEAR)》III期临床试验。每个tarball压缩包内包含一系列NIfTI(神经影像信息学技术倡议,Neuroimaging Informatics Technology Initiative)格式文件,可通过ITK-SNAP(http://www.itksnap.org/pmwiki/pmwiki.php)、Mango(http://ric.uthscsa.edu/mango/)或Papaya(http://ric.uthscsa.edu/mango/papaya.html)等常用工具读取。每幅影像均配有2名不同阅片者的手动分割结果(为二值化脑区掩码),以及基于下文所述方法自动生成的脑区估计掩码。
提供机构:
Johns Hopkins Research Data Repository
创建时间:
2019-09-18
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