Functional Magnetic Resonance Imaging Data Manipulation - A new approach

被引:0
|
作者
Soares, J. [1 ]
Alves, V. [1 ]
机构
[1] Univ Minho, Dept Informat, Braga, Portugal
关键词
fMRI; DICOM Structured Report; medical imaging; fMRI databases; Osirix;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With constant technological advances, the organizations responsible for developing healthcare standards have made efforts to improve interoperability and information exchange between different hospital information systems. In medical imaging, images are the inputs and reports the outputs. In 2000, part 23 of the DICOM standard (Digital Imaging and Communications in Medicine Structured Report) was released as an official extension. Structured Report merges the radiologists' and physicians' text report and relevant images into a single report. Functional Magnetic Resonance Imaging (fMRI) is a technique of medical imaging that can make great use of the structured reports, 3D potentialities, studies comparisons and also from structuring the information. In this work we present a technique for displaying, organizing, managing and storing fMRI studies. This approach is straightforward, accessible and standardized, and aims to reduce the required time and associated costs with fMRI studies analysis.
引用
收藏
页码:36 / 39
页数:4
相关论文
共 50 条
  • [1] An optimal independent component analysis approach for functional magnetic resonance Imaging data
    Zhang, Nan
    Yu, Xianchuan
    Ding, Guosheng
    IIH-MSP: 2006 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS, 2006, : 163 - +
  • [2] Analyzing Rice distributed functional magnetic resonance imaging data: a Bayesian approach
    Lauwers, Lieve
    Barbe, Kurt
    Van Moer, Wendy
    Pintelon, Rik
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2010, 21 (11)
  • [3] Fast functional magnetic resonance imaging-a new approach towards neuroimaging
    Zhang, Cun-Hui
    Lindquist, Martin A.
    Cho, Zang-Hee
    Glover, Gary
    Shepp, Lawrence
    STATISTICS AND ITS INTERFACE, 2008, 1 (01) : 13 - 21
  • [4] Spatially filtering functional magnetic resonance imaging data
    Lowe, MJ
    Sorenson, JA
    MAGNETIC RESONANCE IN MEDICINE, 1997, 37 (05) : 723 - 729
  • [5] Functional magnetic resonance imaging based on large data
    Zeng, Weiyi
    Zou, Sanyong
    Zuo, Hao
    Lecture Notes in Electrical Engineering, 2015, 334 : 987 - 994
  • [6] Probabilistic analysis of functional magnetic resonance imaging data
    Frank, LR
    Buxton, RB
    Wong, EC
    MAGNETIC RESONANCE IN MEDICINE, 1998, 39 (01) : 132 - 148
  • [7] New Approach for Data Acquisition and Image Reconstruction in Parallel Magnetic Resonance Imaging
    Mohamed, Haitham
    Gabr, Refaat E.
    Youssef, Abou-Bakr M.
    Kadah, Yasser M.
    NRSC: 2009 NATIONAL RADIO SCIENCE CONFERENCE: NRSC 2009, VOLS 1 AND 2, 2009, : 691 - 696
  • [8] Simple mathematical model for functional magnetic resonance imaging data
    Ouda, BK
    Tawfik, BS
    Youssef, ABM
    MEDICAL IMAGING 2002: PHYSIOLOGY AND FUNCTION FROM MULTIDIMENSIONAL IMAGES, 2002, 4683 : 386 - 396
  • [9] Functional Magnetic Resonance Imaging Data Analysis by Autoregressive Estimator
    Hernán Cervantes
    Carlos A. C. Jousseph
    Said R. Rabbani
    Applied Magnetic Resonance, 2012, 43 : 321 - 330
  • [10] Perception of Difficulty Using Functional Magnetic Resonance Imaging Data
    Ahmad, Fayyaz
    Talib, Bushra
    Ch, Safee Ullah
    PROCEEDINGS OF 2019 11TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2019), 2019, : 37 - 40