Enabling Real-Time Volume Rendering of Functional Magnetic Resonance Imaging on an iOS Device.
Powerful non-invasive imaging technologies like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI) are used daily by medical professionals to diagnose and treat patients. While 2D slice viewers have long been the standard, many tools allowing 3D representations of digital med...
| Publicado en: | Journal of Digital Imaging Vol. 30; no. 6; pp. 738 - 751 |
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| Autores principales: | , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2017
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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=126169905&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126169905 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2017 vid: 30 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 126169905 126169905 144132212 126169905 10.1007/s10278-017-9986-1 126169905 ppf: 738 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Enabling Real-Time Volume Rendering of Functional Magnetic Resonance Imaging on an iOS Device. aug: au: Holub, Joseph Winer, Eliot affil: Virtual Reality Applications Center , Iowa State University , 1620 Howe Hall Ames 50011 USA sug: subj: Diagnosis, Computer Assisted Trends Computers, Hand-Held Diagnostic Imaging Magnetic Resonance Imaging Methods Human Pilot Studies Image Processing, Computer Assisted Methods Algorithms Tomography, X-Ray Computed Brain Analysis Smartphone Software Utilization Outcome Assessment ab: Powerful non-invasive imaging technologies like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI) are used daily by medical professionals to diagnose and treat patients. While 2D slice viewers have long been the standard, many tools allowing 3D representations of digital medical data are now available. The newest imaging advancement, functional MRI (fMRI) technology, has changed medical imaging from viewing static to dynamic physiology (4D) over time, particularly to study brain activity. Add this to the rapid adoption of mobile devices for everyday work and the need to visualize fMRI data on tablets or smartphones arises. However, there are few mobile tools available to visualize 3D MRI data, let alone 4D fMRI data. Building volume rendering tools on mobile devices to visualize 3D and 4D medical data is challenging given the limited computational power of the devices. This paper describes research that explored the feasibility of performing real-time 3D and 4D volume raycasting on a tablet device. The prototype application was tested on a 9.7' iPad Pro using two different fMRI datasets of brain activity. The results show that mobile raycasting is able to achieve between 20 and 40 frames per second for traditional 3D datasets, depending on the sampling interval, and up to 9 frames per second for 4D data. While the prototype application did not always achieve true real-time interaction, these results clearly demonstrated that visualizing 3D and 4D digital medical data is feasible with a properly constructed software framework. 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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