Smartphone imaging repository: a novel method for creating a CT image bank

In a submitted manuscript, test an image capture method using smartphone camera video-derived images of brain computed tomography (CT) scans of traumatic intracranial hemorrhage. The deidentified videos are emailed or uploaded from the emergency department for central adjudication. We measured the time in seconds it took to capture and send the files. The primary outcomes were hematoma volume measured by ABC/2, Marshall Scale, midline shift measurement, image quality by contrast-to-noise ratio (CNR) and time to capture. A radiologist and an imaging scientist applied ABC/2 method, calculated the Marshall scale and midline shift on the data acquired on different smartphones and the PACS in a randomized order. We calculate the intraclass correlation coefficient (ICC). We measured image quality by calculating contrast-to-noise ratio (CNR). We report summary statistics on time to capture in the smartphone group without a comparator.

本研究于一篇已投稿的稿件中，针对创伤性颅内出血患者的颅脑计算机断层扫描（CT）影像，采用智能手机摄像头录制视频后提取的图像开展图像采集方法的测试。所有去标识化视频将通过电子邮件提交，或由急诊科上传至中心进行集中审核。本研究记录了采集并传输上述文件所需的时长（单位：秒）。主要结局指标包括：通过ABC/2法测算的血肿体积、马歇尔评分（Marshall Scale）、中线移位测量结果，以及以对比度信噪比（CNR）评估的图像质量与图像采集时长。一名放射科医师与一名影像科学研究者将以随机顺序，针对不同智能手机采集的数据以及影像归档和通信系统（PACS）获取的数据，应用ABC/2法开展测算，并计算马歇尔评分与中线移位值。本研究将计算组内相关系数（ICC）。本研究通过计算对比度信噪比（CNR）评估图像质量。本研究将报告无对照的智能手机组图像采集时长的汇总统计数据。