Diffuse parenchymal lung diseases: 3D automated detection in MDCT

Catalin Fetita; Kuang Che Chang-Chien; Pierre Yves Brillet; Françoise Prêteux; Philippe Grenier

doi:10.1007/978-3-540-75757-3_100

Diffuse parenchymal lung diseases: 3D automated detection in MDCT

Catalin Fetita, Kuang Che Chang-Chien, Pierre Yves Brillet, Françoise Prêteux, Philippe Grenier

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Characterization and quantification of diffuse parenchymal lung disease (DPLD) severity using MDCT, mainly in interstitial lung diseases and emphysema, is an important issue in clinical research for the evaluation of new therapies. This paper develops a 3D automated approach for detection and diagnosis of DPLDs (emphysema, fibrosis, honeycombing, ground glass).The proposed methodology combines multiresolution image decomposition based on 3D morphological filtering, and graph-based classification for a full characterization of the parenchymal tissue. The very promising results obtained on a small patient database are good premises for a near implementation and validation of the proposed approach in clinical routine.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings
Publisher	Springer Verlag
Pages	825-833
Number of pages	9
Edition	PART 1
ISBN (Print)	9783540757566
DOIs	https://doi.org/10.1007/978-3-540-75757-3_100
Publication status	Published - 1 Jan 2007
Externally published	Yes
Event	10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia Duration: 29 Oct 2007 → 2 Nov 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4791 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007
Country/Territory	Australia
City	Brisbane
Period	29/10/07 → 2/11/07

Access to Document

10.1007/978-3-540-75757-3_100

Cite this

Fetita, C., Chang-Chien, K. C., Brillet, P. Y., Prêteux, F., & Grenier, P. (2007). Diffuse parenchymal lung diseases: 3D automated detection in MDCT. In Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings (PART 1 ed., pp. 825-833). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-75757-3_100

Fetita, Catalin ; Chang-Chien, Kuang Che ; Brillet, Pierre Yves et al. / Diffuse parenchymal lung diseases : 3D automated detection in MDCT. Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2007. pp. 825-833 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Diffuse parenchymal lung diseases: 3D automated detection in MDCT",

abstract = "Characterization and quantification of diffuse parenchymal lung disease (DPLD) severity using MDCT, mainly in interstitial lung diseases and emphysema, is an important issue in clinical research for the evaluation of new therapies. This paper develops a 3D automated approach for detection and diagnosis of DPLDs (emphysema, fibrosis, honeycombing, ground glass).The proposed methodology combines multiresolution image decomposition based on 3D morphological filtering, and graph-based classification for a full characterization of the parenchymal tissue. The very promising results obtained on a small patient database are good premises for a near implementation and validation of the proposed approach in clinical routine.",

author = "Catalin Fetita and Chang-Chien, \{Kuang Che\} and Brillet, \{Pierre Yves\} and Fran{\c c}oise Pr{\^e}teux and Philippe Grenier",

year = "2007",

month = jan,

day = "1",

doi = "10.1007/978-3-540-75757-3\_100",

language = "English",

isbn = "9783540757566",

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

publisher = "Springer Verlag",

number = "PART 1",

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booktitle = "Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings",

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note = "10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007 ; Conference date: 29-10-2007 Through 02-11-2007",

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Fetita, C, Chang-Chien, KC, Brillet, PY, Prêteux, F & Grenier, P 2007, Diffuse parenchymal lung diseases: 3D automated detection in MDCT. in Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4791 LNCS, Springer Verlag, pp. 825-833, 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007, Brisbane, Australia, 29/10/07. https://doi.org/10.1007/978-3-540-75757-3_100

Diffuse parenchymal lung diseases: 3D automated detection in MDCT. / Fetita, Catalin; Chang-Chien, Kuang Che; Brillet, Pierre Yves et al.
Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2007. p. 825-833 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Prêteux, Françoise

AU - Grenier, Philippe

PY - 2007/1/1

Y1 - 2007/1/1

N2 - Characterization and quantification of diffuse parenchymal lung disease (DPLD) severity using MDCT, mainly in interstitial lung diseases and emphysema, is an important issue in clinical research for the evaluation of new therapies. This paper develops a 3D automated approach for detection and diagnosis of DPLDs (emphysema, fibrosis, honeycombing, ground glass).The proposed methodology combines multiresolution image decomposition based on 3D morphological filtering, and graph-based classification for a full characterization of the parenchymal tissue. The very promising results obtained on a small patient database are good premises for a near implementation and validation of the proposed approach in clinical routine.

AB - Characterization and quantification of diffuse parenchymal lung disease (DPLD) severity using MDCT, mainly in interstitial lung diseases and emphysema, is an important issue in clinical research for the evaluation of new therapies. This paper develops a 3D automated approach for detection and diagnosis of DPLDs (emphysema, fibrosis, honeycombing, ground glass).The proposed methodology combines multiresolution image decomposition based on 3D morphological filtering, and graph-based classification for a full characterization of the parenchymal tissue. The very promising results obtained on a small patient database are good premises for a near implementation and validation of the proposed approach in clinical routine.

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DO - 10.1007/978-3-540-75757-3_100

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Fetita C, Chang-Chien KC, Brillet PY, Prêteux F, Grenier P. Diffuse parenchymal lung diseases: 3D automated detection in MDCT. In Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings. PART 1 ed. Springer Verlag. 2007. p. 825-833. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-75757-3_100

Diffuse parenchymal lung diseases: 3D automated detection in MDCT

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