Volume Visualization: A Technical Overview with a Focus on Medical Applications
Identifieur interne : 003454 ( Main/Exploration ); précédent : 003453; suivant : 003455Volume Visualization: A Technical Overview with a Focus on Medical Applications
Auteurs : Qi Zhang ; Roy Eagleson ; Terry M. PetersSource :
- Journal of Digital Imaging [ 0897-1889 ] ; 2010.
Abstract
With the increasing availability of high-resolution isotropic three- or four-dimensional medical datasets from sources such as magnetic resonance imaging, computed tomography, and ultrasound, volumetric image visualization techniques have increased in importance. Over the past two decades, a number of new algorithms and improvements have been developed for practical clinical image display. More recently, further efficiencies have been attained by designing and implementing volume-rendering algorithms on graphics processing units (GPUs). In this paper, we review volumetric image visualization pipelines, algorithms, and medical applications. We also illustrate our algorithm implementation and evaluation results, and address the advantages and drawbacks of each algorithm in terms of image quality and efficiency. Within the outlined literature review, we have integrated our research results relating to new visualization, classification, enhancement, and multimodal data dynamic rendering. Finally, we illustrate issues related to modern GPU working pipelines, and their applications in volume visualization domain.
Url:
DOI: 10.1007/s10278-010-9321-6
PubMed: 20714917
PubMed Central: 3138940
Affiliations:
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Peters</name><affiliation><nlm:aff id="Aff1">Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, 100 Perth Drive, London, ON N6A 5K8 Canada</nlm:aff><wicri:noCountry code="subfield">ON N6A 5K8 Canada</wicri:noCountry></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">20714917</idno><idno type="pmc">3138940</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3138940</idno><idno type="RBID">PMC:3138940</idno><idno type="doi">10.1007/s10278-010-9321-6</idno><date when="2010">2010</date><idno type="wicri:Area/Pmc/Corpus">000906</idno><idno type="wicri:Area/Pmc/Curation">000906</idno><idno type="wicri:Area/Pmc/Checkpoint">001C77</idno><idno type="wicri:Area/Ncbi/Merge">001659</idno><idno type="wicri:Area/Ncbi/Curation">001659</idno><idno type="wicri:Area/Ncbi/Checkpoint">001659</idno><idno type="wicri:doubleKey">0897-1889:2010:Zhang Q:volume:visualization:a</idno><idno type="wicri:Area/Main/Merge">003502</idno><idno type="wicri:Area/Main/Curation">003454</idno><idno type="wicri:Area/Main/Exploration">003454</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Volume Visualization: A Technical Overview with a Focus on Medical Applications</title><author><name sortKey="Zhang, Qi" sort="Zhang, Qi" uniqKey="Zhang Q" first="Qi" last="Zhang">Qi Zhang</name><affiliation><nlm:aff id="Aff1">Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, 100 Perth Drive, London, ON N6A 5K8 Canada</nlm:aff><wicri:noCountry code="subfield">ON N6A 5K8 Canada</wicri:noCountry></affiliation></author><author><name sortKey="Eagleson, Roy" sort="Eagleson, Roy" uniqKey="Eagleson R" first="Roy" last="Eagleson">Roy Eagleson</name><affiliation><nlm:aff id="Aff1">Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, 100 Perth Drive, London, ON N6A 5K8 Canada</nlm:aff><wicri:noCountry code="subfield">ON N6A 5K8 Canada</wicri:noCountry></affiliation></author><author><name sortKey="Peters, Terry M" sort="Peters, Terry M" uniqKey="Peters T" first="Terry M." last="Peters">Terry M. Peters</name><affiliation><nlm:aff id="Aff1">Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, 100 Perth Drive, London, ON N6A 5K8 Canada</nlm:aff><wicri:noCountry code="subfield">ON N6A 5K8 Canada</wicri:noCountry></affiliation></author></analytic><series><title level="j">Journal of Digital Imaging</title><idno type="ISSN">0897-1889</idno><idno type="eISSN">1618-727X</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>With the increasing availability of high-resolution isotropic three- or four-dimensional medical datasets from sources such as magnetic resonance imaging, computed tomography, and ultrasound, volumetric image visualization techniques have increased in importance. Over the past two decades, a number of new algorithms and improvements have been developed for practical clinical image display. More recently, further efficiencies have been attained by designing and implementing volume-rendering algorithms on graphics processing units (GPUs). In this paper, we review volumetric image visualization pipelines, algorithms, and medical applications. We also illustrate our algorithm implementation and evaluation results, and address the advantages and drawbacks of each algorithm in terms of image quality and efficiency. Within the outlined literature review, we have integrated our research results relating to new visualization, classification, enhancement, and multimodal data dynamic rendering. Finally, we illustrate issues related to modern GPU working pipelines, and their applications in volume visualization domain.</p></div></front></TEI><affiliations><list></list><tree><noCountry><name sortKey="Eagleson, Roy" sort="Eagleson, Roy" uniqKey="Eagleson R" first="Roy" last="Eagleson">Roy Eagleson</name><name sortKey="Peters, Terry M" sort="Peters, Terry M" uniqKey="Peters T" first="Terry M." last="Peters">Terry M. Peters</name><name sortKey="Zhang, Qi" sort="Zhang, Qi" uniqKey="Zhang Q" first="Qi" last="Zhang">Qi Zhang</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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