HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR.
Four-dimensional data sets are increasingly common in MRI and CT. While clinical visualization often focuses on individual temporal phases capturing the tissue(s) of interest, it may be possible to gain additional insight through exploring animated 3D reconstructions of physiological motion made pos...
| Publicado en: | Journal of Digital Imaging Vol. 35; no. 6; pp. 1759 - 1768 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2022
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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=160503239&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160503239 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2022 vid: 35 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 160503239 157069108 160503239 160503239 10.1007/s10278-022-00659-y 160503239 ppf: 1759 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR. aug: au: Bindschadler, M. Buddhe, S. Ferguson, M. R. Jones, T. Friedman, S. D. Otto, R. K. affil: Department of Neurology, Seattle, WA, USA sug: subj: Heart Radiography Magnetic Resonance Imaging Methods Tomography, X-Ray Computed Methods Image Processing, Computer Assisted Human Virtual Reality Augmented Reality Electrocardiography Mobile Applications Printing, Three-Dimensional ab: Four-dimensional data sets are increasingly common in MRI and CT. While clinical visualization often focuses on individual temporal phases capturing the tissue(s) of interest, it may be possible to gain additional insight through exploring animated 3D reconstructions of physiological motion made possible by augmented or virtual reality representations of 4D patient imaging. Cardiac CT acquisitions can provide sufficient spatial resolution and temporal data to support advanced visualization, however, there are no open-source tools readily available to facilitate the transformation from raw medical images to dynamic and interactive augmented or virtual reality representations. To address this gap, we developed a workflow using free and open-source tools to process 4D cardiac CT imaging starting from raw DICOM data and ending with dynamic AR representations viewable on a phone, tablet, or computer. In addition to assembling the workflow using existing platforms (3D Slicer and Unity), we also contribute two new features: 1. custom software which can propagate a segmentation created for one cardiac phase to all others and export to surface files in a fully automated fashion, and 2. a user interface and linked code for the animation and interactive review of the surfaces in augmented reality. Validation of the surface-based areas demonstrated excellent correlation with radiologists' image-based areas (R > 0.99). While our tools were developed specifically for 4D cardiac CT, the open framework will allow it to serve as a blueprint for similar applications applied to 4D imaging of other tissues and using other modalities. We anticipate this and related workflows will be useful both clinically and for educational purposes. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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