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Temporal Segmentation of Lung Region from MRI Sequences Using Multiple Active Contours

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Author(s):
Tavares, Renato Seiji ; Manzanares Chirinos, Jose Miguel ; Abe, Leonardo Ishida ; Gotoh, Toshiyuki ; Kagei, Seiichiro ; Iwasawa, Tae ; Guerra Tsuzuki, Marcos de Sales ; IEEE
Total Authors: 8
Document type: Journal article
Source: 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC); v. N/A, p. 4-pg., 2011-01-01.
Abstract

Segmentation of the lung is particularly difficult because of the large variation in image quality. A modified Hough transform in combination with a mask creation algorithm can robustly determine synchronous respiratory patterns. The synchronicity restriction is relaxed by applying a greedy active contour algorithm. The respiratory patterns define a point cloud near the lung region boundary representing a subjective contour. The gravitation vector field (GVF) active contour algorithm is used to create an initial segmentation exclusively based on the point cloud. A final active contours algorithm is executed to adjust the boundary to the images. The algorithm was tested with healthy subjects and COPD patients, and the result was checked through temporal registration of coronal and sagittal images. (AU)

FAPESP's process: 10/18658-4 - Simulated Annealing Applied to Electrical Impedance Tomography Image Reconstruction
Grantee:Renato Seiji Tavares
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 10/19685-5 - Three dimensional lung model creation through the diaphragmatic surface registration from RM temporal coronal and sagittal senquences
Grantee:Marcos de Sales Guerra Tsuzuki
Support Opportunities: Regular Research Grants