Sveinsson Bragi, Koonjoo Neha, Rosen Matthew S
A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States of America.
A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States of America.
Comput Methods Programs Biomed. 2021 Mar;200:105836. doi: 10.1016/j.cmpb.2020.105836. Epub 2020 Nov 14.
Medical images obtained by methods such as magnetic resonance imaging (MRI) or computed tomography (CT) are typically displayed as a stack of 2D slices, comprising a 3D volume. Often, the anatomy of interest does not fall neatly into the slice plane but rather extends obliquely through several slices. Reformatting the data to show the anatomy in one slice in conventional medical imaging software can require expertise and time. In this work, we present ARmedViewer, a medical image viewing app designed for mobile devices that uses augmented reality technology to display medical image data. An arbitrary plane for displaying the data can be chosen quickly and intuitively by moving the mobile device.
The app ARmedViewer, compiled for an iOS device, was designed to allow a user to easily select from a list of 3D image datasets consisting of header information and image data. The user decides where to place the data, which can be overlaid on actual human anatomy. After loading the dataset, the user can move and rotate the data as desired. 15 users compared the user experience of the app to a common image viewer by answering two user surveys each, one custom and one standardized. The utility of the app was also tested by having two users find a plane through a 3D dataset that displayed 3 randomly placed lesions. This operation was timed and compared between the app and a standard medical image viewer.
ARmedViewer was successfully developed and run on an iPhone XS. User interfaces for selecting, placing, moving, reslicing, and displaying the data were operated with ease, even by naïve users. The custom user survey indicated that freely selecting a slice through the data was significantly more intuitive and easier using the app than using a conventional image viewer on a computer workstation, and changing the viewing angle was also significantly more intuitive. The standardized survey indicated a significantly better user experience for the app in several categories, and never significantly worse. The timed reslicing experiments demonstrated the app being faster than the standard image viewer by an average factor of 9.
The newly developed ARmedViewer is a portable software tool for easily displaying 3D medical image data overlaid on human anatomy, allowing for easy choice of the viewing plane by intuitively moving the mobile device.
通过磁共振成像（MRI）或计算机断层扫描（CT）等方法获取的医学图像通常显示为一系列二维切片，构成一个三维体积。通常，感兴趣的解剖结构并非恰好位于切片平面内，而是倾斜穿过多个切片。在传统医学成像软件中重新格式化数据以在一个切片中显示解剖结构需要专业知识和时间。在这项工作中，我们展示了ARmedViewer，一款为移动设备设计的医学图像查看应用程序，它使用增强现实技术来显示医学图像数据。通过移动移动设备，可以快速直观地选择用于显示数据的任意平面。
为iOS设备编译的应用程序ARmedViewer旨在允许用户轻松地从由头部信息和图像数据组成的三维图像数据集列表中进行选择。用户决定将数据放置在哪里，数据可以叠加在实际人体解剖结构上。加载数据集后，用户可以根据需要移动和旋转数据。15名用户通过分别回答两份用户调查问卷（一份自定义问卷和一份标准化问卷），将该应用程序的用户体验与普通图像查看器进行了比较。还通过让两名用户在一个显示3个随机放置病变的三维数据集中找到一个平面来测试该应用程序的实用性。对该操作进行了计时，并在该应用程序和标准医学图像查看器之间进行了比较。
ARmedViewer已成功开发并在iPhone XS上运行。即使是新手用户也能轻松操作选择、放置、移动、重新切片和显示数据的用户界面。自定义用户调查表明，使用该应用程序自由选择穿过数据的切片比在计算机工作站上使用传统图像查看器明显更直观、更容易，并且改变视角也明显更直观。标准化调查表明，该应用程序在几个类别中的用户体验明显更好，且从未明显更差。计时重新切片实验表明，该应用程序比标准图像查看器平均快9倍。
新开发的ARmedViewer是一种便携式软件工具，可轻松显示叠加在人体解剖结构上的三维医学图像数据，通过直观地移动移动设备即可轻松选择查看平面。
