Comprehensive and Quantitative Study of Rank-4 Order Diffusion Tensor Imaging and Positive Definite Rank-4 Order Diffusion Tensor Imaging: A Higher Order Tensor Imaging Study

被引:0
|
作者
Jiang, Shan [1 ]
Zhang, Pengfei [1 ]
机构
[1] Tianjin Univ, Sch Mech Engn, Ctr Adv Mech & Robot, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
WATER DIFFUSION; RESOLUTION; MRI; HETEROGENEITY; MATTER; SIGNAL;
D O I
10.1002/ima.22082
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Rank-4 order diffusion tensor imaging (DT4) has been shown to be able to capture complex local tissue structures, for example, crossing fibers, but it cannot ensure the positive-definite property of diffusion. As a result, the positive-definite rank-4 order diffusion tensor imaging was presented to guarantee the positive-definite property. However, a comprehensive comparison that concerns SNR of Rician noise, effect of the numbers of gradient directions and the ability of detecting IVOH between DT4 and PDT4 has never been performed. To overcome these limitations, a comprehensive comparison between the two methods is made. Results show that it can help to determine whether the applied noise is close to the clinical application by estimating corresponding SNRs. Compared with DT4, PDT4 can achieve better result in terms of fiber error, standard deviation (SD) of generalized trace (GT) and generalized anisotropy (GA). PDT4 can increase the values of GA and scaled entropy, especially in nonwhite matter areas. Thus this study comes to conclusions as follows. The relationship between SNR and SD of Rician noise should be considered. PDT4 can achieve higher accuracy and better stability, but the advantage will become unobvious with increasing of sample directions and SNR. PDT4 will detect fake IVOH in nonwhite matter areas. The works in this article can provide an optimized plan for making sampling scheme and choosing proper imaging methods. Copyright © 2014 Wiley Periodicals, Inc.
引用
收藏
页码:83 / 93
页数:11
相关论文
共 50 条
  • [1] Higher Order Positive Semidefinite Diffusion Tensor Imaging
    Qi, Liqun
    Yu, Gaohang
    Wu, Ed X.
    SIAM JOURNAL ON IMAGING SCIENCES, 2010, 3 (03): : 416 - 433
  • [2] Biexponential and diffusional kurtosis imaging, and generalised diffusion-tensor imaging (GDTI) with rank-4 tensors: a study in a group of healthy subjects
    Ludovico Minati
    Domenico Aquino
    Stefano Rampoldi
    Sergio Papa
    Marina Grisoli
    Maria Grazia Bruzzone
    Elio Maccagnano
    Magnetic Resonance Materials in Physics, Biology and Medicine, 2007, 20 : 241 - 253
  • [3] Biexponential and diffusional kurtosis imaging, and generalised diffusion-tensor imaging (GDTI) with rank-4 tensors: a study in a group of healthy subjects
    Minati, Ludovico
    Aquino, Domenico
    Rampoldi, Stefano
    Papa, Sergio
    Grisoli, Marina
    Bruzzone, Maria Grazia
    Maccagnano, Elio
    MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 2007, 20 (5-6) : 241 - 253
  • [4] IRREDUCIBLE INVARIANTS OF A TENSOR OF RANK-4
    BETTEN, J
    HELISCH, W
    ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 1992, 72 (01): : 45 - 57
  • [5] The direct tensor solution and higher-order acquisition schemes for generalized diffusion tensor imaging
    Akkerman, Erik M.
    JOURNAL OF MAGNETIC RESONANCE, 2010, 206 (01) : 11 - 19
  • [6] High Order Diffusion Tensor Imaging in Human Glioblastoma
    Ellingson, Benjamin M.
    Cloughesy, Timothy F.
    Lai, Albert
    Nghiemphu, Phioanh L.
    Liau, Linda M.
    Pope, Whitney B.
    ACADEMIC RADIOLOGY, 2011, 18 (08) : 947 - 954
  • [7] Determination of fiber orientation in MRI diffusion tensor imaging based on higher-order tensor decomposition
    Ying, Leslie
    Zou, Yi Ming
    Klemer, David P.
    Wang, Jiun-Jie
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 2065 - +
  • [8] A diffusion tensor imaging study of schizophrenia
    Kanaan, RAA
    McGuire, PK
    Barker, GJ
    Chitnis, X
    Jones, DK
    Shergill, SS
    SCHIZOPHRENIA RESEARCH, 2004, 67 (01) : 3 - 4
  • [9] Study of MR diffusion tensor imaging and the
    Zhou Hongyu
    MULTIPLE SCLEROSIS JOURNAL, 2013, 19 (05) : 667 - 667
  • [10] Diffusion weighted imaging for the differentiation of breast tumors: From apparent diffusion coefficient to high order diffusion tensor imaging
    Teruel, Jose R.
    Goa, Pal E.
    Sjobakk, Torill E.
    Ostlie, Agnes
    Fjosne, Hans E.
    Bathen, Tone F.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2016, 43 (05) : 1111 - 1121