A Supervised Patch-Based Approach for Human Brain Labeling

作者：Rousseau Franccois^*; Habas Piotr A; Studholme Colin

来源：IEEE Transactions on Medical Imaging, 2011, 30(10): 1852-1862.

DOI：10.1109/TMI.2011.2156806

• Brain magnetic resonance imaging (MRI)
• image segmentation
• label propagation
• nonlocal approach

We propose in this work a patch-based image labeling method relying on a label propagation framework. Based on image intensity similarities between the input image and an anatomy textbook, an original strategy which does not require any nonrigid registration is presented. Following recent developments in nonlocal image denoising, the similarity between images is represented by a weighted graph computed from an intensity-based distance between patches. Experiments on simulated and in vivo magnetic resonance images show that the proposed method is very successful in providing automated human brain labeling.

• 出版日期2011-10