MRI-SPECT fusion for the synthesis of high resolution 3D functional brain images: a preliminary study

被引:13
作者
Colin, A [1 ]
Boire, JY [1 ]
机构
[1] ERIM, Fac Med, F-63001 Clermont Ferrand, France
关键词
fusion; possibility theory; multimodal image processing; brain imaging;
D O I
10.1016/S0169-2607(99)00006-1
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Medical imaging being a fast-expanding held, multimodal data fusion appears more and more as a key element for the optimal use of images. By fusion. we mean the combination of several information sources tin particular images), with the aim of providing either more condensed or more pertinent information. The long term scope of this work would be to improve the interpretation of 3D brain images, providing extra elements for the diagnosis and patient follow up. This preliminary study is part of a wider context: the medical follow up of patients suffering from probable Alzheimer disease observed in single photon emission tomography by fusion after registration with magnetic resonance images. Several information combination techniques based on the possibility theory are presented. A new operator, more specifically adapted to the fusion of anatomical and functional images, as well as a high resolution functional image synthesis technique are proposed. A first comparative study of fusion techniques is then proposed. Although no thorough test protocol has been defined, these preliminary results are encouraging, giving access to a wide field of potential clinical applications. (C) 1999 Elsevier Science ireland Ltd. All rights reserved.
引用
收藏
页码:107 / 116
页数:10
相关论文
共 10 条
  • [1] Information combination operators for data fusion: A comparative review with classification
    Bloch, I
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 1996, 26 (01): : 52 - 67
  • [2] Dubois D., 1994, Traitement du Signal, V11, P447
  • [3] Dubois D., 1988, Theorie des possibilites : Applications a la representation des connaissances en informatique
  • [4] MULTIRESOLUTION MORPHOLOGICAL FUSION OF MR AND CT IMAGES OF THE HUMAN BRAIN
    MATSOPOULOS, GK
    MARSHALL, S
    BRUNT, JNH
    [J]. IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 1994, 141 (03): : 137 - 142
  • [5] ACCURATE 3-DIMENSIONAL REGISTRATION OF CT, PET, AND OR MR IMAGES OF THE BRAIN
    PELIZZARI, CA
    CHEN, GTY
    SPELBRING, DR
    WEICHSELBAUM, RR
    CHEN, CT
    [J]. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1989, 13 (01) : 20 - 26
  • [6] Shafer G., 1976, A mathematical theory of evidence, V76
  • [7] MEDICAL IMAGE MATCHING - A REVIEW WITH CLASSIFICATION
    VANDENELSEN, PA
    POL, EJD
    VIERGEVER, MA
    [J]. IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 1993, 12 (01): : 26 - 39
  • [8] AUTOMATIC 3-DIMENSIONAL CORRELATION OF CT-CT, CT-MRI, AND CT-SPECT USING CHAMFER MATCHING
    VANHERK, M
    KOOY, HM
    [J]. MEDICAL PHYSICS, 1994, 21 (07) : 1163 - 1178
  • [9] MRI-PET REGISTRATION WITH AUTOMATED ALGORITHM
    WOODS, RP
    MAZZIOTTA, JC
    CHERRY, SR
    [J]. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1993, 17 (04) : 536 - 546
  • [10] Zadeh L. A., 1978, Fuzzy Sets and Systems, V1, P3, DOI 10.1016/0165-0114(78)90029-5