Workflow mining for visualization and analysis of surgeries
Identifieur interne : 002334 ( Istex/Curation ); précédent : 002333; suivant : 002335Workflow mining for visualization and analysis of surgeries
Auteurs : Tobias Blum [Allemagne, États-Unis] ; Nicolas Padoy [Allemagne, France] ; Hubertus Feu Ner [Allemagne] ; Nassir Navab [Allemagne]Source :
- International Journal of Computer Assisted Radiology and Surgery [ 1861-6410 ] ; 2008-11-01.
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Abstract
Abstract: Objective: Modeling the workflow of a surgery is a topic of growing interest. Workflow models can be used to analyze statistical properties of a surgery, for intuitive visualization, evaluation and other applications. In most cases, workflow models are created manually, which is a time consuming process that might suffer from a personal bias. In this work, an approach for automatic workflow mining is presented. Materials and methods: Ten process logs, each describing a single instance of a laparoscopic cholecystectomy, are used to build a Hidden Markov Model (HMM). Using a merging approach, models at different levels of detail are generated. These embody statistical information concerning aspects like duration of actions or tool usage during the surgery. Results: A Graphical User Interface (GUI) is presented, that uses a graph representation of the HMM to intuitively visualize surgical workflow. It allows changing the level of detail by expanding and merging nodes. The GUI can also be used to compare videos of surgeries which are synchronized to the model. Conclusions: The proposed method allows automatic generation and visualization of a statistical model describing the workflow of a surgery.
Url:
DOI: 10.1007/s11548-008-0239-0
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ISTEX:9896D539FB0B55137573BB0FF287B9F249AB6C82Le document en format XML
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Technische Universität München, Munich, Germany</mods:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>LORIA-INRIA Lorraine, Nancy, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>LORIA-INRIA Lorraine, Nancy</wicri:regionArea></affiliation></author><author><name sortKey="Feu Ner, Hubertus" sort="Feu Ner, Hubertus" uniqKey="Feu Ner H" first="Hubertus" last="Feu Ner">Hubertus Feu Ner</name><affiliation wicri:level="1"><mods:affiliation>Department of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany</mods:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich</wicri:regionArea></affiliation></author><author><name sortKey="Navab, Nassir" sort="Navab, Nassir" uniqKey="Navab N" first="Nassir" last="Navab">Nassir Navab</name><affiliation wicri:level="1"><mods:affiliation>Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany</mods:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:9896D539FB0B55137573BB0FF287B9F249AB6C82</idno><date when="2008" year="2008">2008</date><idno type="doi">10.1007/s11548-008-0239-0</idno><idno type="url">https://api.istex.fr/ark:/67375/VQC-V3K03S0T-V/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">002365</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">002365</idno><idno type="wicri:Area/Istex/Curation">002334</idno></publicationStmt><sourceDesc><biblStruct><analytic><title 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xml:lang="fr">Allemagne</country><wicri:regionArea>Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>LORIA-INRIA Lorraine, Nancy, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>LORIA-INRIA Lorraine, Nancy</wicri:regionArea></affiliation></author><author><name sortKey="Feu Ner, Hubertus" sort="Feu Ner, Hubertus" uniqKey="Feu Ner H" first="Hubertus" last="Feu Ner">Hubertus Feu Ner</name><affiliation wicri:level="1"><mods:affiliation>Department of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany</mods:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich</wicri:regionArea></affiliation></author><author><name sortKey="Navab, Nassir" sort="Navab, Nassir" uniqKey="Navab N" first="Nassir" last="Navab">Nassir Navab</name><affiliation wicri:level="1"><mods:affiliation>Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany</mods:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich</wicri:regionArea></affiliation></author></analytic><monogr></monogr><series><title level="j">International Journal of Computer Assisted Radiology and Surgery</title><title level="j" type="sub">A journal for interdisciplinary research, development and applications of image guided diagnosis and therapy</title><title level="j" type="abbrev">Int J CARS</title><idno type="ISSN">1861-6410</idno><idno type="eISSN">1861-6429</idno><imprint><publisher>Springer-Verlag</publisher><pubPlace>Berlin/Heidelberg</pubPlace><date type="published" when="2008-11-01">2008-11-01</date><biblScope unit="volume">3</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="379">379</biblScope><biblScope unit="page" to="386">386</biblScope></imprint><idno type="ISSN">1861-6410</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1861-6410</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cholecystectomy</term><term>Hidden Markov models</term><term>Information visualization</term><term>Surgical workflow analysis</term><term>Workflow mining</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Objective: Modeling the workflow of a surgery is a topic of growing interest. Workflow models can be used to analyze statistical properties of a surgery, for intuitive visualization, evaluation and other applications. In most cases, workflow models are created manually, which is a time consuming process that might suffer from a personal bias. In this work, an approach for automatic workflow mining is presented. Materials and methods: Ten process logs, each describing a single instance of a laparoscopic cholecystectomy, are used to build a Hidden Markov Model (HMM). Using a merging approach, models at different levels of detail are generated. These embody statistical information concerning aspects like duration of actions or tool usage during the surgery. Results: A Graphical User Interface (GUI) is presented, that uses a graph representation of the HMM to intuitively visualize surgical workflow. It allows changing the level of detail by expanding and merging nodes. The GUI can also be used to compare videos of surgeries which are synchronized to the model. Conclusions: The proposed method allows automatic generation and visualization of a statistical model describing the workflow of a surgery.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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