Automatic Extraction of Pathological Area in 2D MR Brain Scan
The aim of this work is to propose the fully automated pathological area extraction. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The multi-contrast MRI (T2 and FLAIR images) is used. Since the method is based on symmetry, it works for both axial and coronal planes. In these both planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. The algorithm was tested on 357 axial and 443 coronal real images from publicly available BRATS databases containing 3D brain volumes a2icted by a brain tumor. The results were evaluated by Dice Coefficient (axial: 0.85 ±0.11, coronal 0.82± 0.18) and by Accuracy (axial: 0.96 ± 0.05, coronal 0.94 ±0.09).
P.Dvorak K.Bartusek E.Gescheidtova
Department of Telecommunications, Faculty of Electrical Engineering and Communication Brno Universit Institute of Scientific Instruments of the ASCR v.v.i., Kralovopolska 147, Brno 612 64, Czech Republ Department of Theoretical and Experimental Electrical Engineering Faculty of Electrical Engineering
国际会议
Progress in Electromagnetics Research Symposium 2014(2014年电磁学研究新进展学术研讨会)
广州
英文
1885-1889
2014-08-01（万方平台首次上网日期，不代表论文的发表时间）