Semiautomatic tumor segmentation with multimodal images in a conditional random field framework

• Published in: Journal of medical imaging (Bellingham, Wash.) Vol. 3; no. 2; p. 024503
• Main Authors: Hu, Yu-chi, Grossberg, Michael, Mageras, Gikas
• Format: Journal Article
• Language: English
• Published: United States Society of Photo-Optical Instrumentation Engineers 01.04.2016
• Subjects: Computer-Aided Diagnosis; conditional random field; semiautomatic segmentation; multimodality imaging; logistic regression; tumor

Volumetric medical images of a single subject can be acquired using different imaging modalities, such as computed tomography, magnetic resonance imaging (MRI), and positron emission tomography. In this work, we present a semiautomatic segmentation algorithm that can leverage the synergies between d...