A modular framework for development and interlaboratory sharing and validation of diffusion tensor tractography algorithms.
This Technical Note describes a novel modular framework for development and interlaboratory distribution and validation of 3D tractography algorithms based on in vivo diffusion tensor imaging (DTI) measurements. The proposed framework allows individual MRI research centers to benefit from new tracto...
| Publicado en: | Journal of Digital Imaging Vol. 19; no. 2; pp. 112 - 118 |
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| Autor principal: | |
| Formato: | diagnostic images Journal Article |
| Publicado: |
Springer Nature
Jun2006
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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=106169704&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106169704 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2006 vid: 19 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 106169704 2009257128 10.1007/s10278-006-9948-5 NLM16511673 106169704 ppf: 112 ppct: 6 formats: fmt: @attributes: type: P tig: atl: A modular framework for development and interlaboratory sharing and validation of diffusion tensor tractography algorithms. aug: au: Nielsen JF affil: Department of Radiology, Childrens Hospital Los Angeles, 4650 Sunset Blvd, Los Angeles, CA 90027, USA. jon.nielsen@usc.edu sug: subj: Algorithms Magnetic Resonance Imaging Methods Neuroanatomy Methods User-Computer Interface Brain Radiography Java Programming Languages Software Systems Integration ab: This Technical Note describes a novel modular framework for development and interlaboratory distribution and validation of 3D tractography algorithms based on in vivo diffusion tensor imaging (DTI) measurements. The proposed framework allows individual MRI research centers to benefit from new tractography algorithms developed at other independent centers by 'plugging' new tractography modules directly into their own custom DTI software tools, such as existing graphical user interfaces (GUI) for visualizing brain white matter pathways. The proposed framework is based on the Java 3D programming platform, which provides an object-oriented programming (OOP) model and independence of computer hardware configuration and operating system. To demonstrate the utility of the proposed approach, a complete GUI for interactive DTI tractography was developed, along with two separate and interchangeable modules that implement two different tractography algorithms. Although the application discussed here relates to DTI tractography, the programming concepts presented here should be of interest to anyone who wishes to develop platform-independent GUI applications for interactive 3D visualization. pubtype: Academic Journal doctype: diagnostic images Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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