Abstract

In recent years, advances in medical imaging have provided opportunities for enhanced diagnosis and characterization of diseases including cancer. The improved spatial resolution provides outstanding detail of intricate anatomical structures, but has challenged physicians on how to effectively and efficiently review the extremely large datasets of over 1000 images. Standard volume rendering attempts to tackle this problem as it provides a display of 3D information on a flat 2D screen, but it lacks depth perception and has poor human–machine interface (HMI). Most recently, Augmented Reality/Virtual Reality (AR/VR) with depth 3-dimensional (D3D) imaging provides depth perception through binocular vision, head tracking for improved HMI and other key AR features. In this article, we will discuss current and future medical applications of AR including assessing breast cancer. We contend that leveraging AR technology may enhance diagnosis, save cost and improve patient care.

Highlights

  • Radiology is playing an ever increasing role in medical diagnosis

  • An important question arises—how can we reduce these rising costs? We contend that a partial answer lies in combining Augmented Reality/Virtual Reality (AR/VR) with 3D medical imaging

  • Multiple projection images are acquired as the X-ray tube/detector assembly rotates around the patient

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Summary

Introduction

Radiology is playing an ever increasing role in medical diagnosis. Per capita imaging costs for women on Medicare were US$517. This portends increasing costs as America continues to age. We contend that a partial answer lies in combining Augmented Reality/Virtual Reality (AR/VR) with 3D medical imaging. Describing this combination and highlighting examples of potential utility is the purpose of this paper. We will provide a background on cross-sectional imaging with a focus on CT and magnetic resonance imaging (MRI) and will include a discussion on the limitations of such viewing methods. We will conclude with a discussion of future roles of AR in diagnostic medical imaging

Background on Cross-Sectional Diagnostic Imaging
Conventional Viewing Methods and Challenges Thereof
Surface Rendering
Volume Rendering
This an overview overview of of the the depth depth 3-dimensional
Virtual
Figures and
Images
Augmented
Conclusions
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