Diffuse parenchymal lung diseases: 3D automated detection in MDCT

Authors:
Catalin Fetita;Kuang-Che Chang-Chien;Pierre-Yves Brillet;Françoise Prêteux;Philippe Grenier
Affiliations:
Dept. ARTEMIS, INT, Groupe des Ecoles des Télécommunications, Evry, France;Dept. ARTEMIS, INT, Groupe des Ecoles des Télécommunications, Evry, France and National Chung Cheng University, Chia-yi, Taiwan, R.O.C;Dept. ARTEMIS, INT, Groupe des Ecoles des Télécommunications, Evry, France and AP-HP, Avicenne Hospital, Bobigny, France;Dept. ARTEMIS, INT, Groupe des Ecoles des Télécommunications, Evry, France;Université Paris 6 and AP-HP, Pitié-Salpêtrière Hospital, Paris, France
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2007

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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.