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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Towards an Imaging Biomarker Ontology based on the Open Biological and Biomedical Ontologies Foundry</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Emna Amdouni</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yannick Morvan</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Bernard Gibaud</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>B com Institute of Research and Technology</institution>
          ,
          <addr-line>Rennes</addr-line>
          ,
          <country country="FR">France</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>LTSI Inserm 1099, Universite de Rennes 1</institution>
          ,
          <addr-line>Rennes</addr-line>
          ,
          <country country="FR">France</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The importance of imaging biomarkers in biomedical research and drug design is well-acknowledged in the literature, calling for appropriate standards and guidelines for imaging biomarker development, validation and quali cation. The objective of this work is to de ne explicitly, by means of an ontology, the vocabulary pertaining to imaging biomarkers' domain.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>IBO involves many diverse entities related to imaging biomarkers that concern
many domains (medical imaging, metrology, clinical research, informatics, etc.).
Therefore, most of classes are aligned with the Basic Formal Ontology (BFO)
and were developed according to the OBO foundry principles, thus facilitating
the integration of terms. Extraction was made following the MIREOT principles,
thanks to the OntoFox tool. We have reused several ontologies belonging to the
OBO foundry - e.g. Ontology for Biomedical Investigations (OBI), Phenotypic
Quality Ontology (PATO), Chemical Entities of Biological Interest (ChEBI)
Ontology and Foundational Model of Anatomy (FMA) ontology - but also ontologies
from other origins, e.g. OntoNeuroLOG.</p>
    </sec>
    <sec id="sec-2">
      <title>Results</title>
      <p>Our proposed ontology, IBO, articulates three basic aspects related to imaging
biomarkers namely, facet 1: measured biological characteristics, facet 2:
measurement protocols and facet 3: role in decision making applications. The rst
facet de nes physical qualities related to imaged objects or processes. We have
distinguished between two kinds of qualities: qualities that are related to a
continuant (e.g. tumor size, longest diameter, tumor volume, tissue radioactivity
concentration) and qualities that describe an occurrent (e.g. volume change
between two time points or more complex processes as volume change speed). The
second facet speci es imaging requirements and describes performed
measurement processes leading to imaging biomarker values. Measurement processes are
composed of many sub-processes (subject preparation, image acquisition, image
processing, etc.) that involve many material entities (image acquisition device,
imaging agent, imaging subject, etc.) as well as roles realized in the context
of the processes in which they participate. The third facet represents imaging
biomarker applications, namely: diagnosis, prediction, prognosis, treatment
assessment and therapy monitoring. All imaging biomarker applications involve
some imaging biomarker values which bear a particular role, e.g. predictive,
diagnostic, prognostic and enable clinicians to answer to their clinical questions.
4</p>
    </sec>
    <sec id="sec-3">
      <title>Conclusion</title>
      <p>The aim of IBO is to de ne explicitly the domain of imaging biomarkers in the
health care context, we have based our work on preliminary work from QIBO
and BiomRKRS as well as relevant OBO foundry's ontologies. Future work will
aim at applying IBO for representing imaging biomarkers in brain gliomas.</p>
    </sec>
  </body>
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