Physiopathology of pulmonary airways: Automated facilities for accurate assessment

Diane Perchet; Catalin I. Fetita; Françoise Prêteux

doi:10.1007/978-3-540-30136-3_30

Physiopathology of pulmonary airways: Automated facilities for accurate assessment

Diane Perchet
, Catalin I. Fetita
, Françoise Prêteux

CNRS SAMOVAR UMR 5157

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

Résumé

In the framework of computer-assisted diagnosis, pulmonary airway investigation based on multi detector computed tomography (MDCT) requires to provide radiologists and clinicians with advanced tools for interactive exploration, quantitative assessment and follow-up. This paper develops a set of automated investigation facilities relying on 3D airway reconstruction, enhanced central axis-based description and accurate meshing. By overcoming the limitations encountered by the current post-processing techniques available in clinical routine, the proposed tools contribute to increase the diagnosis confidence level and provide better insights into the physiopathology of airways.

langue originale	Anglais
Pages (de - à)	234-242
Nombre de pages	9
journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3217
Numéro de publication	1 PART 2
Les DOIs	https://doi.org/10.1007/978-3-540-30136-3_30
état	Publié - 1 janv. 2004
Modification externe	Oui
Evénement	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France Durée: 26 sept. 2004 → 29 sept. 2004

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10.1007/978-3-540-30136-3_30

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title = "Physiopathology of pulmonary airways: Automated facilities for accurate assessment",

abstract = "In the framework of computer-assisted diagnosis, pulmonary airway investigation based on multi detector computed tomography (MDCT) requires to provide radiologists and clinicians with advanced tools for interactive exploration, quantitative assessment and follow-up. This paper develops a set of automated investigation facilities relying on 3D airway reconstruction, enhanced central axis-based description and accurate meshing. By overcoming the limitations encountered by the current post-processing techniques available in clinical routine, the proposed tools contribute to increase the diagnosis confidence level and provide better insights into the physiopathology of airways.",

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Physiopathology of pulmonary airways: Automated facilities for accurate assessment. / Perchet, Diane; Fetita, Catalin I.; Prêteux, Françoise.
Dans: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol 3217, Numéro 1 PART 2, 01.01.2004, p. 234-242.

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

TY - JOUR

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T2 - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings

AU - Perchet, Diane

AU - Fetita, Catalin I.

AU - Prêteux, Françoise

PY - 2004/1/1

Y1 - 2004/1/1

N2 - In the framework of computer-assisted diagnosis, pulmonary airway investigation based on multi detector computed tomography (MDCT) requires to provide radiologists and clinicians with advanced tools for interactive exploration, quantitative assessment and follow-up. This paper develops a set of automated investigation facilities relying on 3D airway reconstruction, enhanced central axis-based description and accurate meshing. By overcoming the limitations encountered by the current post-processing techniques available in clinical routine, the proposed tools contribute to increase the diagnosis confidence level and provide better insights into the physiopathology of airways.

AB - In the framework of computer-assisted diagnosis, pulmonary airway investigation based on multi detector computed tomography (MDCT) requires to provide radiologists and clinicians with advanced tools for interactive exploration, quantitative assessment and follow-up. This paper develops a set of automated investigation facilities relying on 3D airway reconstruction, enhanced central axis-based description and accurate meshing. By overcoming the limitations encountered by the current post-processing techniques available in clinical routine, the proposed tools contribute to increase the diagnosis confidence level and provide better insights into the physiopathology of airways.

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

IS - 1 PART 2

Y2 - 26 September 2004 through 29 September 2004

ER -

Physiopathology of pulmonary airways: Automated facilities for accurate assessment

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