Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (4): 683-686.doi: 10.3969/j.issn.1673-8225.2011.04.027

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HLSVD versus AMARES for magnetic resonance spectroscopy data quantification

Bao Chen1, Qi Jing2, Weng De-he3, Sun Yu1, Wan Sui-ren1   

  1. 1Medical Electronics Laboratory, Department of Biology Science and Medical Engineering, Southeast University, Nanjing  210096, Jiangsu Province, China
    2Radiology Department of Jiangsu People’s Hospital, Nanjing  210029, Jiangsu Province, China
    3Siemens Mindit (Shenzhen) Magnetic Resonance Ltd., Shenzhen  518057, Guangdong Province, China
  • Received:2010-07-28 Revised:2010-09-12 Online:2011-01-22 Published:2011-01-22
  • About author:Bao Chen★, Studying for master’s degree, Medical Electronics Laboratory, Department of Biology Science and Medical Engineering, Southeast University, Nanjing 210096, Jiangsu Province, China baochen_seu@yahoo.com.cn

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Abstract:

BACKGROUND: Magnetic resonance spectroscopy (MRS) has become important auxiliary diagnosis tool in clinical diagnosis. At present, 1H MRS in human brain has been frequently used, which has important clinical value in diagnosis of brain tumor.
OBJECTIVE: To quantify the human brain 1HMRS data based on HLSVD and AMARES methods separately, by comparing the two methods through a certain amount of data to find the method which is more suitable for the clinical auxiliary diagnosis.
METHODS: We used the two methods separately in the JMRUI analysis software, and then the physical parameters such as frequency, amplitude and phrase, were obtained, which were results of the quantification in terms of these parameters, so we could deal with the interpretation of the signal.
RESULTS AND CONCLUSION: HLSVD quantifies data according waveform features, while AMARES produced deviation in images. Therefore, HLSVD is more suitable than AMARES for the clinical diagnosis, both in accuracy and timeliness.

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