Color Rendering in Medical Extended-Reality Applications.
Cross-platform development of medical applications in extended-reality (XR) head-mounted displays (HMDs) often relies on game engines with rendering capabilities currently not standardized in the context of medical visualizations. Many aspects of the visualization pipeline including the characteriza...
| Publicado en: | Journal of Digital Imaging Vol. 34; no. 1; pp. 16 - 27 |
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| Autores principales: | , , , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=148753831&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 148753831 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Feb2021 vid: 34 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 148753831 147211460 148753831 148753831 10.1007/s10278-020-00392-4 148753831 ppf: 16 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Color Rendering in Medical Extended-Reality Applications. aug: au: Kim, Andrea Seung Cheng, Wei-Chung Beams, Ryan Badano, Aldo affil: FDA, Silver Spring, Maryland, USA sug: subj: Virtual Reality Augmented Reality Diagnostic Imaging Color Graphics Image Processing, Computer Assisted Tomography, X-Ray Computed ab: Cross-platform development of medical applications in extended-reality (XR) head-mounted displays (HMDs) often relies on game engines with rendering capabilities currently not standardized in the context of medical visualizations. Many aspects of the visualization pipeline including the characterization of color have yet to be consistently defined across rendering models and platforms. We examined the transfer of color properties from digital objects, through the rendering and image processing steps, to the RGB values sent to the display device. Five rendering pipeline configurations within the Unity engine were evaluated using 24 digital color patches. In the second experiment, the same configurations were evaluated with a tissue slide sample image. Measurements of the change in color associated with each configuration were characterized using the CIE 1976 color difference ( Δ E ). We found that the distribution of Δ E for the first experiment ranges from zero, as in the case using an Unlit Shader, to 25.97, as in the case using default configurations. The default Unity configuration consistently returned the highest Δ E across all 24 colors and also the largest range of color differences. In the second experiment, Δ E E ranged from 7.49 to 34.18. The Unlit configuration resulted in the highest Δ E in three of four selected pixels in the tissue sample image. Changes in color image properties associated with texture import settings were then evaluated in a third experiment using the TG18-QC test pattern. Differences in pixel values were found in all nine of the investigated texture import settings. The findings provide an initial characterization of color transfer and a basis for future work on standardization, consistency, and optimization of color in medical XR applications. pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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