Automatic Assessment of Full LV Coverage in Cardiac Cine MRI Using Learned Intensity Attributes with Discriminative 3D CNNs

This dataset has been created to serve as complimentary material to a journal publication currently under review by IEEE Transactions on Medical Imaging. <br>The dataset contains two files, a comma-separated file (.csv) and a video (.avi). The first file contains the results of applying our Discriminative 3D CNN (D3D CNN) Image Quality Assessment (IQA) algorithm to a set of images from the UK Biobank dataset. The Image Quality Assessment file named "IQA spreadsheet.csv" contains 3 columns. The first column labeled "f.eid" lists 5000+ patient IDs, the next column labeled "MBS" (Missing Basal Slice) contains binary values indicating the presence or absence of the basal slice. Similarly the last column labeled "MAS" (Missing Apical Slice) indicates the presence or absence of the apical slice in the image volume. <br>The second file is a demo of the algorithm's functionality. The video shows a unique patient's cardiac image volume, and the result of the detection/non-detection of the basal and apical slices indicated with green and red labels on the images and on a side panel. <br>This dataset has been created to serve as complementary material to a journal publication currently under review by IEEE Transactions on Medical Imaging.<br>The dataset contains two files, a comma-separated file (.csv) and a video (.avi). The first file contains the results of applying our Discriminative 3D CNN (D3D CNN) Image Quality Assessment (IQA) algorithm to a set of images from the UK Biobank dataset. The Image Quality Assessment file named "IQA spreadsheet.csv" contains 3 columns. The first column labeled "f.eid" lists 5000+ patient IDs, the next column labeled "MBS" (Missing Basal Slice) contains binary values indicating the presence or absence of the basal slice. Similarly the last column labeled "MAS" (Missing Apical Slice) indicates the presence or absence of the apical slice in the image volume.<br>The second file is a demo of the algorithm's functionality. The video shows a unique patient's cardiac image volume, and the result of the detection/non-detection of the basal and apical slices indicated with green and red labels on the images and on a side panel.

本数据集旨在作为已投往《IEEE医学成像汇刊》（IEEE Transactions on Medical Imaging）、目前处于审稿阶段的期刊论文的补充材料。
本数据集包含两个文件，分别为逗号分隔值文件（.csv）与视频文件（.avi）。
第一个文件为我们将所提出的判别式三维卷积神经网络（Discriminative 3D CNN，D3D CNN）图像质量评估（Image Quality Assessment，IQA）算法应用于英国生物银行（UK Biobank）数据集的部分图像后所得的结果。名为"IQA spreadsheet.csv"的图像质量评估文件共包含三列：第一列标记为"f.eid"，列出了5000余条患者编号；第二列标记为"MBS（Missing Basal Slice，基底切片缺失情况）"，存储二进制数值以表征基底切片是否缺失；最后一列标记为"MAS（Missing Apical Slice，心尖切片缺失情况）"，同样以二进制数值表征图像容积中心尖切片是否存在。
第二个文件为该算法功能的演示视频。该视频展示了一名特定患者的心脏图像容积，并标注出基底切片与心尖切片的检测/未检测结果：图像及侧边面板中以绿色与红色标签分别对应上述两种状态。
本数据集旨在作为已投往《IEEE医学成像汇刊》（IEEE Transactions on Medical Imaging）、目前处于审稿阶段的期刊论文的补充材料。
本数据集包含两个文件，分别为逗号分隔值文件（.csv）与视频文件（.avi）。
第一个文件为我们将所提出的判别式三维卷积神经网络（Discriminative 3D CNN，D3D CNN）图像质量评估（Image Quality Assessment，IQA）算法应用于英国生物银行（UK Biobank）数据集的部分图像后所得的结果。名为"IQA spreadsheet.csv"的图像质量评估文件共包含三列：第一列标记为"f.eid"，列出了5000余条患者编号；第二列标记为"MBS（Missing Basal Slice，基底切片缺失情况）"，存储二进制数值以表征基底切片是否缺失；最后一列标记为"MAS（Missing Apical Slice，心尖切片缺失情况）"，同样以二进制数值表征图像容积中心尖切片是否存在。
第二个文件为该算法功能的演示视频。该视频展示了一名特定患者的心脏图像容积，并标注出基底切片与心尖切片的检测/未检测结果：图像及侧边面板中以绿色与红色标签分别对应上述两种状态。