MRS Feature Eztraction: Time-frequency and Wavelet Analysis

摘要：

Magnetic Resonance Spectroscopy (MRS) signals are being used for diagnosis of various brain diseases. Feature extraction of the MRS data is the most important step in analyzing the data. In this study a fully automated system is developed to analyze the MRS signals. The wavelet analysis is utilized in extracting signal features and the time-frequency representations. Consulting specialists in the field, the sensitivity of 87.11％±18 and the positive predictivity of 88.97％±15 in extracting features have been achieved.

关键词： Magnetic Resonance Spectroscopy Fractals Wavelets Time – Frequency Representations Frequency Ordered Wavelet Packets

作者: S. Zarei J. Alireazie P. Babyn A. Kassner E. Widjaja

作者单位: Mahmoodabadi Department of Electrical and Computer Eng. Ryerson University Toronto, Canada Department of Electrical Engineering K.N. Toosi University Tehran, Iran Department of Radiology SickKids Toronto, Canada Department of Medical Imaging University of Toronto Toronto, Canada

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 1863-1866

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）