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

Autor(es)

Tavares, Renato Seiji ; Manzanares Chirinos, Jose Miguel ; Abe, Leonardo Ishida ; Gotoh, Toshiyuki ; Kagei, Seiichiro ; Iwasawa, Tae ; Guerra Tsuzuki, Marcos de Sales ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC); v. N/A, p. 4-pg., 2011-01-01.

Resumo

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)

• Processo FAPESP: 10/18658-4 - Aplicação do Recozimento Simulado para a Reconstrução de Imagens por Tomografia por Impedância Elétrica
• Beneficiário: Renato Seiji Tavares
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 10/19685-5 - Criação do modelo animado tridimensional do pulmão pelo registro da superfície diafragmática a partir de sequências coronais e sagitais temporais de RM
• Beneficiário: Marcos de Sales Guerra Tsuzuki
• Modalidade de apoio: Auxílio à Pesquisa - Regular