Radiographic Dataset for VHS determination learning process

The data collected at baseline include latero lateral thoracic radiographic images of canine patients. This data was collected in 2019- 2020. The number of patients is 156 canine patients. The dataset consists of 156 radiographic images . The images are in PNG format.

Materials and Methods
Radiographic images were taken and collected at the Small Animal Veterinary Teaching Hospital, Veterinary Sciences Reasearch Institute, Autonomous University of Baja California. The image collection and classification was performed between 2019- 2020. The instrument used in the radiographic image adquisition process is Universal AV Choice X-Ray System and Rayence XMARU 1417PGA-PCA 14×17″ cassette digital detector (DR system). In the development of radiographic studies, techniques were used in the range of the following parameters using a high peak kilovoltage (kVp 70-80) and low milliampere-second technique (mA 200, ms 10-40) equivalent to 2-8 mAs. This technique allows for latitude (long gray scale) images, which are important when evaluating the structures of the thorax. For a right and left lateral image, patients were positioned on the table with the dependent side down. Relevant anatomical structures in the determination of VHS were included. The laterals beam projections extended from the cranial margin of the manubrium to the caudo-dorsal margin of the lung margin/diaphragmatic crus. The sternum of the patient was included so as not to exclude vital anatomy. The number of images collected initially was 628 and were stored in a DICOM format.
DICOM images were converted to PNG format by using a DICOM converter application included on the acquisition software. After performing classification and preprocessing, the number of images included in the final dataset was reduced to 152 representative images. All images were cropped to different sizes to remove unused and unimportant boundaries from the images using fast photo crop. As the original images contain confidential patient information not relevant for the overall educational purpose, the data was anonymized by removing all fields that would enable patient identification. The original VHS measurement was not included in the image because they may affect the output results of the training process.

基线收集的数据包括犬类患者的侧位胸廓X光片。该数据于2019-2020年间收集。患者总数为156例犬类。数据集包含156张X光片。图像以PNG格式存储。

材料与方法
在小型动物兽医教学医院、兽医科学研究院、下加利福尼亚自治大学的框架内，对X光片进行了采集和分类，时间跨度为2019-2020年。在X光片采集过程中，使用了通用AV选择X射线系统和Rayence XMARU 1417PGA-PCA 14×17英寸胶片数字检测器（DR系统）。在X光研究的发展过程中，采用了以下参数范围内的技术：高峰值千伏（kVp 70-80）和低毫安秒技术（mA 200，ms 10-40），相当于2-8毫安秒。此技术能够生成具有广阔灰度范围的图像，这对于评估胸腔结构至关重要。对于左右侧位图像，患者被放置在桌上，依赖侧朝下。在确定VHS（胸廓入口）时，包括相关的解剖结构。侧位射线从胸骨柄颅侧边缘延伸至肺缘/横膈边缘的尾背侧边缘。患者的胸骨被包含在内，以避免排除重要的解剖结构。最初收集的图像数量为628张，并以DICOM格式存储。

使用采集软件中包含的DICOM转换应用程序将DICOM图像转换为PNG格式。在执行分类和预处理后，最终数据集中的图像数量减少至152张代表性图像。所有图像均通过快速照片裁剪裁剪到不同的大小，以去除图像中不用的和不重要的边界。由于原始图像包含与整体教育目的无关的机密患者信息，数据通过移除所有可能使患者被识别的字段进行了匿名化处理。原始的VHS测量值未包含在图像中，因为这可能会影响训练过程的输出结果。