Integration of 3D Virtual Reality (VR) in Diagnostic and Therapeutic Imaging

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Publication Details
Author list: Saadia Talay, Huda Mubarak, Amjad Aldarwish, Fatimah Alhamoud, Noor Aljabr, Kamran Hameed, Mahbubunnabi Tamal
Publication year: 2018
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Present methods
of visualizing 3D medical images have several limitations. Medical image datasets
consist of a series of 2D images as slices. Typically physicians and
radiologists mentally assemble these images in such a way that it relates to
the realistic 3D structures of the body. This method requires extensive
training and is prone to errors. Virtual reality (VR), a recent technological
advancement, is an artificial, 3D computer-generated environment which allows a
user to be totally immersed in the virtual world. Though, it is mainly used by
the entertainment industry, more recently, its utility in the healthcare fields
such as diagnostic and therapeutic imaging has been investigated with promising
outcomes. An integrated 3D VR system with automatic segmentation and
visualization software would allow a user to visualize anatomical structures in
a realistic and interactive 3D environment..  A seamless integration system consisting of HTC
Vive VR system 3D Slicer, and Unity software is proposed here. As part of the
integration process, an automatic segmentation algorithm is also proposed for
computed tomography angiography (CTA) images. The system will read DICOM images
from a 3D imaging modality as an input and segment the dataset using 3D Slicer.
Next, surface or volume rendering will be performed on the segmented images before
exporting it to Unity, a platform that allows interfacing with VR systems. The
rendered image will finally be viewed through the HTC Vive VR system which
allows interactive navigation and detailed examination of the image dataset as a
virtual 3D model of the patient. 

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Last updated on 2021-15-05 at 19:12