IRIS-HSVD for automatic MRS data quantification

被引：0
|
作者：
Wang, Xin [1 ]
Lee, Jing-Huei [1 ]
机构：
[1] Univ Cincinnati, Dept Biomed Engn, Cincinnati, OH 45221 USA
来源：
2008 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-4 | 2008年
关键词：
magnetic resonance spectroscopy; signal processing; estimation; singular value decomposition;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
One of the most difficult problems in Magnetic Resonance Spectroscopy (MRS) data processing is to separate the targeted chemical compounds' signal from a distorted baseline in very noisy data. In this work, we propose a new quantification scheme based on the Iterative Reduction of Interference Signal Hankel Singular Value Decomposition (IRIS-HSVD) algorithm for accurate, robust and automatic quantification of multidimensional human brain P-31 MRS data.
引用
收藏
页码：1749 / 1752
页数：4
相关论文
共 50 条
  • [1] IRIS-HSVD algorithm for automatic quantitation of in vivo 31P MRS
    Wang, Xin
    Lee, Jing-Huei
    JOURNAL OF MAGNETIC RESONANCE, 2009, 196 (01) : 23 - 32
  • [2] Manual and semi-automatic quantification of in vivo 1H-MRS data for the classification of human primary brain tumors
    Cuellar-Baena, S.
    Morais, L. M. T. S.
    Cendes, F.
    Faria, A. V.
    Castellano, G.
    BRAZILIAN JOURNAL OF MEDICAL AND BIOLOGICAL RESEARCH, 2011, 44 (04) : 345 - 353
  • [3] Frequency-Selective MRS data quantification with frequency prior knowledge
    Dologlou, I
    Van Huffel, S
    Van Ormondt, D
    JOURNAL OF MAGNETIC RESONANCE, 1998, 130 (02) : 238 - 243
  • [4] Fully automatic quantification of microarray image data
    Jain, AN
    Tokuyasu, TA
    Snijders, AM
    Segraves, R
    Albertson, DG
    Pinkel, D
    GENOME RESEARCH, 2002, 12 (02) : 325 - 332
  • [5] Improved method for accurate and efficient quantification of MRS data with use of prior knowledge
    Vanhamme, L
    van den Boogaart, A
    Van Huffel, S
    JOURNAL OF MAGNETIC RESONANCE, 1997, 129 (01) : 35 - 43
  • [6] Iris: Automatic Generation of Efficient Data Layouts for High Bandwidth Utilization
    Soldavini, Stephanie
    Sciuto, Donatella
    Pilato, Christian
    2023 28TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE, ASP-DAC, 2023, : 172 - 177
  • [7] Automatic online quantification and prioritization of data protection risks
    Zmiewski, Sascha Sven
    Laufer, Jan
    Mann, Zoltan Adam
    PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY, ARES 2022, 2022,
  • [8] Automatic Classification of Brain Tumor by in Vivo MRS Data based on LDA and SVM
    Wang, Long
    Wan, Suiren
    Sun, Yu
    Zhang, Bing
    Zhang, Xin
    2015 SEVENTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2015), 2015, : 213 - 216
  • [9] QUANTIFICATION OF IRIS TRANSLUCENCY IN ALBINISM
    WIRTSCHAFTER, JD
    DENSLOW, GT
    SHINE, IB
    ARCHIVES OF OPHTHALMOLOGY, 1973, 90 (04) : 274 - 277
  • [10] Functional Data Analysis as an Alternative for the Automatic Biometric Image Recognition: Iris Application
    Munoz, Dania P.
    Silva Mata, Francisco Jose
    Hernandez, Noslen
    Talavera Bustamante, Isneri
    COMPUTACION Y SISTEMAS, 2014, 18 (01): : 111 - 121
12345