{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T11:19:28Z","timestamp":1767611968068,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,11,8]],"date-time":"2017-11-08T00:00:00Z","timestamp":1510099200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MTI"],"abstract":"<jats:p>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\u2013machine 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.<\/jats:p>","DOI":"10.3390\/mti1040029","type":"journal-article","created":{"date-parts":[[2017,11,8]],"date-time":"2017-11-08T12:38:48Z","timestamp":1510144728000},"page":"29","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["Augmented Reality: Advances in Diagnostic Imaging"],"prefix":"10.3390","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1021-534X","authenticated-orcid":false,"given":"David","family":"Douglas","sequence":"first","affiliation":[{"name":"Department of Radiology, Stanford University, Palo Alto, CA 94305, USA"}]},{"given":"Clifford","family":"Wilke","sequence":"additional","affiliation":[{"name":"CTO Federal Health Segment, DXC Technology, Herndon, VA 22102, USA"}]},{"given":"J.","family":"Gibson","sequence":"additional","affiliation":[{"name":"Chief Technologist, Digital Context Aware, DXC Technology, Austin, TX 78613, USA"}]},{"given":"John","family":"Boone","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of California, Davis, CA 94720, USA"}]},{"given":"Max","family":"Wintermark","sequence":"additional","affiliation":[{"name":"Department of Radiology, Stanford University, Palo Alto, CA 94305, USA"}]}],"member":"1968","published-online":{"date-parts":[[2017,11,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1088\/0952-4746\/20\/4\/301","article-title":"CT scanning: Patterns of use and dose","volume":"20","author":"Mettler","year":"2000","journal-title":"J. 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