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Open Access 3D Medical Image Segmentation in Virtual Reality

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The possible achievements of accurate and intuitive 3D image segmentation are endless. For our specific research, we aim to give doctors around the world, regardless of their computer knowledge, a virtual reality (VR) 3D image segmentation tool which allows medical professionals to better visualize their patients’ data sets, thus attaining the best understanding of their respective conditions.

We implemented an intuitive virtual reality interface that can accurately display MRI and CT scans and quickly and precisely segment 3D images, offering two different segmentation algorithms. Simply put, our application must be able to fit into even the most busy and practiced physicians’ workdays while providing them with a new tool, the likes of which they have never seen before.
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Keywords: head-mounted display; medical imaging; segmentation; virtual reality; volume rendering

Document Type: Research Article

Publication date: January 13, 2019

More about this publication?
  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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