Implementation of Automated Pipeline for Resting-State fMRI Analysis with PACS Integration.
In recent years, the quantity and complexity of medical imaging acquisition and processing have increased tremendously. The explosion in volume and need for advanced imaging analysis have led to the creation of numerous software programs, which have begun to be incorporated into clinical practice fo...
| Publicado en: | Journal of Digital Imaging Vol. 36; no. 3; pp. 1189 - 1198 |
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| Autores principales: | , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2023
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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=164473087&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 164473087 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2023 vid: 36 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 164473087 161115051 164473087 164473087 10.1007/s10278-022-00758-w 164473087 ppf: 1189 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Implementation of Automated Pipeline for Resting-State fMRI Analysis with PACS Integration. aug: au: Li, Xiao T. Allen, Jason W. Hu, Ranliang affil: Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA sug: subj: Magnetic Resonance Imaging Methods Relaxation Picture Archiving and Communication Systems Automation Image Processing, Computer Assisted Algorithms Image Interpretation, Computer Assisted Health Facility Environment Human DICOM Software Radiology Information Systems ab: In recent years, the quantity and complexity of medical imaging acquisition and processing have increased tremendously. The explosion in volume and need for advanced imaging analysis have led to the creation of numerous software programs, which have begun to be incorporated into clinical practice for indications such as automated stroke assessment, brain tumor perfusion processing, and hippocampal volume analysis. Despite these advances, there remains a need for specialized, custom-built software for advanced algorithms and new areas of research that is not widely available or adequately integrated in these "out-of-the-box" solutions. The purpose of this paper is to describe the implementation of an image-processing pipeline that is versatile and simple to create, which allows for rapid prototyping of image analysis algorithms and subsequent testing in a clinical environment. This pipeline uses a combination of Orthanc server, custom MATLAB code, and publicly available FMRIB Software Library and RestNeuMap tools to automatically receive and analyze resting-state functional MRI data collected from a custom filter on the MR scanner output. The processed files are then sent directly to Picture Archiving and Communications System (PACS) without the need for user input. This initial experience can serve as a framework for those interested in simple implementation of an automated pipeline customized to clinical needs. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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