XNAT-PIC: Extending XNAT to Preclinical Imaging Centers.
Molecular imaging generates large volumes of heterogeneous biomedical imagery with an impelling need of guidelines for handling image data. Although several successful solutions have been implemented for human epidemiologic studies, few and limited approaches have been proposed for animal population...
| Publicado en: | Journal of Digital Imaging Vol. 35; no. 4; pp. 860 - 876 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2022
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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=159195618&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159195618 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Aug2022 vid: 35 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 159195618 155805671 159195618 159195618 10.1007/s10278-022-00612-z 159195618 ppf: 860 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: XNAT-PIC: Extending XNAT to Preclinical Imaging Centers. aug: au: Zullino, Sara Paglialonga, Alessandro Dastrù, Walter Longo, Dario Livio Aime, Silvio affil: Molecular Imaging Center, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy sug: subj: Picture Archiving and Communication Systems Magnetic Resonance Imaging Image Processing, Computer Assisted Neuroradiography Database Construction Database Design Access to Information DICOM Molecular Imaging Software Digital Imaging Image Interpretation, Computer Assisted ab: Molecular imaging generates large volumes of heterogeneous biomedical imagery with an impelling need of guidelines for handling image data. Although several successful solutions have been implemented for human epidemiologic studies, few and limited approaches have been proposed for animal population studies. Preclinical imaging research deals with a variety of machinery yielding tons of raw data but the current practices to store and distribute image data are inadequate. Therefore, standard tools for the analysis of large image datasets need to be established. In this paper, we present an extension of XNAT for Preclinical Imaging Centers (XNAT-PIC). XNAT is a worldwide used, open-source platform for securely hosting, sharing, and processing of clinical imaging studies. Despite its success, neither tools for importing large, multimodal preclinical image datasets nor pipelines for processing whole imaging studies are yet available in XNAT. In order to overcome these limitations, we have developed several tools to expand the XNAT core functionalities for supporting preclinical imaging facilities. Our aim is to streamline the management and exchange of image data within the preclinical imaging community, thereby enhancing the reproducibility of the results of image processing and promoting open science practices. pubtype: Academic Journal doctype: diagnostic images pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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