Segmentation of Abdominal Organs Incorporating Prior Knowledge in Small Animal CT

Autor:	Myoung-Hee Kim, Soo-Min Song
Rok vydání:	2010
Předmět:	Active contour model business.industry Atlas (topology) Computer science Image registration Image segmentation Mutual information computer.software_genre Voxel Small animal Computer vision Segmentation Artificial intelligence business computer
Zdroj:	Advances in Visual Computing ISBN: 9783642172762 ISVC (3)
DOI:	10.1007/978-3-642-17277-9_22
Popis:	For quantification of drug's delivery using small animals measuring biochemical changes in abdominal organs based on functional images is essential. However, in those images, the object boundaries are not clearly enough to locate its shape and position. And even though the structural information is compensated using image registration technique, delineation of organs is difficult and time-consuming. So we suggested an automatic procedure for delineation of organs in mouse PET image with the aid of atlas as a priori anatomical information. Prior information was given by voxel label number. CT used to construct an atlas is transformed to match mouse CT to be segmented. For each label corresponding voxels represent the same organ. Then, mouse CT-PET pairs should be aligned to identify organ area in PET. After all images are aligned and fused each other both structural and functional information can be observed simultaneously for several organs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4b3f1898f0f4c6cda27ff7d719b13073 https://doi.org/10.1007/978-3-642-17277-9_22 Zobrazit plný text záznamu