| Title | Lung parenchyma segmentation from CT images based on material decomposition |
| Publication Type | Book |
| Year of Publication | 2006 |
| Authors | Vinhais, C, Campilho, A |
| Series Title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. |
| Volume | 4142 LNCS |
| Number of Pages | 624 - 635 |
| City | Povoa de Varzim |
| ISBN Number | 03029743 (ISSN); 3540448942 (ISBN); 9783540448945 (ISBN) |
| Keywords | Biological organs, Classification (of information), Computer simulation, Computerized tomography, Image segmentation, Lung parenchyma, Medical imaging, Patient segmentation, Patient treatment, Volumetric X-ray CT images, Voxel classification strategy |
| Abstract | We present a fully automated method for extracting the lung region from volumetric X-ray CT images based on material decomposition. By modeling the human thorax as a composition of different materials, the proposed method follows a threshold-based, hierarchical voxel classification strategy. The segmentation procedure involves the automatic computation of threshold values and consists on three main steps: patient segmentation and decomposition, large airways extraction and lung parenchyma decomposition, and lung region of interest segmentation. Experimental results were performed on thoracic CT images acquired from 30 patients. The method provides a reproducible set of thresholds for accurate extraction of the lung parenchyma, needed for computer aided diagnosis systems. © Springer-Verlag Berlin Heidelberg 2006. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-33749660395&partnerID=40&md5=d07d50c5605d8c249a87771d3469fa78 |
