Matches in SemOpenAlex for { <https://semopenalex.org/work/W3104767365> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3104767365 endingPage "105836" @default.
- W3104767365 startingPage "105836" @default.
- W3104767365 abstract "• Great progress has been made in the development of portable medical imaging devices. • Medical images are still typically viewed on a computer workstation after acquisition. • ARmedViewer was created to view medical images on a mobile device using augmented reality. • The program uses a novel way of reslicing 3D image datasets by physically moving the device. • Experiments showed ARmedViewer easier, more intuitive, and faster to use than standard software. Background and objective : Medical images obtained by methods such as magnetic resonance imaging (MRI) or computed tomography (CT) are typically displayed as a stack of 2D slices, comprising a 3D volume. Often, the anatomy of interest does not fall neatly into the slice plane but rather extends obliquely through several slices. Reformatting the data to show the anatomy in one slice in conventional medical imaging software can require expertise and time. In this work, we present ARmedViewer, a medical image viewing app designed for mobile devices that uses augmented reality technology to display medical image data. An arbitrary plane for displaying the data can be chosen quickly and intuitively by moving the mobile device. Methods : The app ARmedViewer, compiled for an iOS device, was designed to allow a user to easily select from a list of 3D image datasets consisting of header information and image data. The user decides where to place the data, which can be overlaid on actual human anatomy. After loading the dataset, the user can move and rotate the data as desired. 15 users compared the user experience of the app to a common image viewer by answering two user surveys each, one custom and one standardized. The utility of the app was also tested by having two users find a plane through a 3D dataset that displayed 3 randomly placed lesions. This operation was timed and compared between the app and a standard medical image viewer. Results: ARmedViewer was successfully developed and run on an iPhone XS. User interfaces for selecting, placing, moving, reslicing, and displaying the data were operated with ease, even by naïve users. The custom user survey indicated that freely selecting a slice through the data was significantly more intuitive and easier using the app than using a conventional image viewer on a computer workstation, and changing the viewing angle was also significantly more intuitive. The standardized survey indicated a significantly better user experience for the app in several categories, and never significantly worse. The timed reslicing experiments demonstrated the app being faster than the standard image viewer by an average factor of 9. Conclusions : The newly developed ARmedViewer is a portable software tool for easily displaying 3D medical image data overlaid on human anatomy, allowing for easy choice of the viewing plane by intuitively moving the mobile device." @default.
- W3104767365 created "2020-11-23" @default.
- W3104767365 creator A5015032921 @default.
- W3104767365 creator A5067145638 @default.
- W3104767365 creator A5076795798 @default.
- W3104767365 date "2021-03-01" @default.
- W3104767365 modified "2023-09-29" @default.
- W3104767365 title "ARmedViewer, an augmented-reality-based fast 3D reslicer for medical image data on mobile devices: A feasibility study" @default.
- W3104767365 cites W2007919300 @default.
- W3104767365 cites W2020709419 @default.
- W3104767365 cites W2044148501 @default.
- W3104767365 cites W2051709274 @default.
- W3104767365 cites W2057947771 @default.
- W3104767365 cites W2061567202 @default.
- W3104767365 cites W2080917769 @default.
- W3104767365 cites W2104953089 @default.
- W3104767365 cites W2132301389 @default.
- W3104767365 cites W2136808504 @default.
- W3104767365 cites W2150376307 @default.
- W3104767365 cites W2155608922 @default.
- W3104767365 cites W2161971256 @default.
- W3104767365 cites W2186925649 @default.
- W3104767365 cites W2279932199 @default.
- W3104767365 cites W2325702684 @default.
- W3104767365 cites W2344487106 @default.
- W3104767365 cites W2560280736 @default.
- W3104767365 cites W2730000451 @default.
- W3104767365 cites W2765137424 @default.
- W3104767365 cites W2888653571 @default.
- W3104767365 cites W2896015659 @default.
- W3104767365 cites W2946311545 @default.
- W3104767365 cites W2955849474 @default.
- W3104767365 doi "https://doi.org/10.1016/j.cmpb.2020.105836" @default.
- W3104767365 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33250281" @default.
- W3104767365 hasPublicationYear "2021" @default.
- W3104767365 type Work @default.
- W3104767365 sameAs 3104767365 @default.
- W3104767365 citedByCount "1" @default.
- W3104767365 countsByYear W31047673652022 @default.
- W3104767365 crossrefType "journal-article" @default.
- W3104767365 hasAuthorship W3104767365A5015032921 @default.
- W3104767365 hasAuthorship W3104767365A5067145638 @default.
- W3104767365 hasAuthorship W3104767365A5076795798 @default.
- W3104767365 hasBestOaLocation W31047673651 @default.
- W3104767365 hasConcept C111919701 @default.
- W3104767365 hasConcept C121332964 @default.
- W3104767365 hasConcept C121684516 @default.
- W3104767365 hasConcept C153715457 @default.
- W3104767365 hasConcept C154945302 @default.
- W3104767365 hasConcept C186967261 @default.
- W3104767365 hasConcept C199360897 @default.
- W3104767365 hasConcept C20556612 @default.
- W3104767365 hasConcept C2777904410 @default.
- W3104767365 hasConcept C31601959 @default.
- W3104767365 hasConcept C31972630 @default.
- W3104767365 hasConcept C41008148 @default.
- W3104767365 hasConcept C62520636 @default.
- W3104767365 hasConcept C67953723 @default.
- W3104767365 hasConcept C77331912 @default.
- W3104767365 hasConcept C89505385 @default.
- W3104767365 hasConceptScore W3104767365C111919701 @default.
- W3104767365 hasConceptScore W3104767365C121332964 @default.
- W3104767365 hasConceptScore W3104767365C121684516 @default.
- W3104767365 hasConceptScore W3104767365C153715457 @default.
- W3104767365 hasConceptScore W3104767365C154945302 @default.
- W3104767365 hasConceptScore W3104767365C186967261 @default.
- W3104767365 hasConceptScore W3104767365C199360897 @default.
- W3104767365 hasConceptScore W3104767365C20556612 @default.
- W3104767365 hasConceptScore W3104767365C2777904410 @default.
- W3104767365 hasConceptScore W3104767365C31601959 @default.
- W3104767365 hasConceptScore W3104767365C31972630 @default.
- W3104767365 hasConceptScore W3104767365C41008148 @default.
- W3104767365 hasConceptScore W3104767365C62520636 @default.
- W3104767365 hasConceptScore W3104767365C67953723 @default.
- W3104767365 hasConceptScore W3104767365C77331912 @default.
- W3104767365 hasConceptScore W3104767365C89505385 @default.
- W3104767365 hasFunder F4320332180 @default.
- W3104767365 hasLocation W31047673651 @default.
- W3104767365 hasOpenAccess W3104767365 @default.
- W3104767365 hasPrimaryLocation W31047673651 @default.
- W3104767365 hasRelatedWork W10864309 @default.
- W3104767365 hasRelatedWork W10957184 @default.
- W3104767365 hasRelatedWork W11201533 @default.
- W3104767365 hasRelatedWork W14650748 @default.
- W3104767365 hasRelatedWork W2075192 @default.
- W3104767365 hasRelatedWork W3981025 @default.
- W3104767365 hasRelatedWork W4683767 @default.
- W3104767365 hasRelatedWork W6089664 @default.
- W3104767365 hasRelatedWork W13969149 @default.
- W3104767365 hasRelatedWork W5800091 @default.
- W3104767365 hasVolume "200" @default.
- W3104767365 isParatext "false" @default.
- W3104767365 isRetracted "false" @default.
- W3104767365 magId "3104767365" @default.
- W3104767365 workType "article" @default.