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

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	234-242
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3217
Issue number	1 PART 2
DOIs	https://doi.org/10.1007/978-3-540-30136-3_30
Publication status	Published - 1 Jan 2004
Externally published	Yes
Event	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France Duration: 26 Sept 2004 → 29 Sept 2004

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Cite this

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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.",

author = "Diane Perchet and Fetita, \{Catalin I.\} and Fran{\c c}oise Pr{\^e}teux",

year = "2004",

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doi = "10.1007/978-3-540-30136-3\_30",

language = "English",

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journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

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note = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings ; Conference date: 26-09-2004 Through 29-09-2004",

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Physiopathology of pulmonary airways: Automated facilities for accurate assessment. / Perchet, Diane; Fetita, Catalin I.; Prêteux, Françoise.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3217, No. 1 PART 2, 01.01.2004, p. 234-242.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Physiopathology of pulmonary airways

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.

U2 - 10.1007/978-3-540-30136-3_30

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

M3 - Conference article

AN - SCOPUS:20344404201

SN - 0302-9743

VL - 3217

SP - 234

EP - 242

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

Abstract

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