A Survey on VR-Based Annotation of Medical Images
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초록
The usage of virtual reality (VR) in healthcare field has been gaining attention lately. The main use casesrevolve around medical imaging and clinical skill training. Healthcare professionals have found great benefitsin these cases when done in VR. While medical imaging on the desktop has lots of available software withvarious tools, VR versions are mostly stripped-down with only basic tools. One of the many tool groupssignificantly missing is annotation. In this paper, we survey the current situation of medical imaging softwareboth on the desktop and in the VR environment. We will discuss general information on medical imaging andprovide examples of both desktop and VR applications. We will also discuss the current status of annotation inVR, the problems that need to be overcome and possible solutions for them. The findings of this paper shouldhelp developers of future medical image annotation tools in choosing which problem they want to tackle andpossible methods. The findings will be used to help in our future work of developing annotation tools.
Abstract
The usage of virtual reality (VR) in healthcare field has been gaining attention lately. The main use casesrevolve around medical imaging and clinical skill training. Healthcare professionals have found great benefitsin these cases when done in VR. While medical imaging on the desktop has lots of available software withvarious tools, VR versions are mostly stripped-down with only basic tools. One of the many tool groupssignificantly missing is annotation. In this paper, we survey the current situation of medical imaging softwareboth on the desktop and in the VR environment. We will discuss general information on medical imaging andprovide examples of both desktop and VR applications. We will also discuss the current status of annotation inVR, the problems that need to be overcome and possible solutions for them. The findings of this paper shouldhelp developers of future medical image annotation tools in choosing which problem they want to tackle andpossible methods. The findings will be used to help in our future work of developing annotation tools.
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