Active contour algorithm with discriminant analysis for delineating tumors in positron emission tomography
作者：
Highlights：
• An innovative method for the segmentation of biological tumor volumes is proposed.
• Integration of patient-specific functional information in PET studies to convert PET images into SUV images.
• Implementation of an initialization step to translate the user input to an user independent mask to be used to segment.
• Integration of tissue classification in the local active contour method trough a novel formulation of the energy functional.
• Implementation of an automatic termination condition to obtain a segmentation process nearly full automatic.
摘要
•An innovative method for the segmentation of biological tumor volumes is proposed.•Integration of patient-specific functional information in PET studies to convert PET images into SUV images.•Implementation of an initialization step to translate the user input to an user independent mask to be used to segment.•Integration of tissue classification in the local active contour method trough a novel formulation of the energy functional.•Implementation of an automatic termination condition to obtain a segmentation process nearly full automatic.
论文关键词：Biological target volume segmentation,Active contour algorithm,Discriminant analysis,Positron emission tomography
论文评审过程：Received 15 June 2018, Revised 18 October 2018, Accepted 7 January 2019, Available online 8 January 2019, Version of Record 1 February 2019.
论文官网地址：https://doi.org/10.1016/j.artmed.2019.01.002
