Literature DB >> 8762272

[Analysis of texture in medical imaging. Review of the literature].

Y Rolland1, J Bézy-Wendling, H Gestin, A Bruno, R Duvauferrier, N Morcet, R Collorec, J L Coatrieux.   

Abstract

This paper presents a review of the applications of texture analysis in medical imaging. Many authors take a great interest in this topic (75 papers have been published since 1984) and try to elaborate automatic methods for tissue characterization. The results are not really convincing and applications are often reduced to feasibility studies. This failure is due to the empirical approach to the problem: the first studies were performed on ultrasound images, in which visual texture is very present, but no data standardization is available with this imaging modality. A more rational approach should provide better results. For each organ or tissue, it is necessary to find the appropriate source and texture analysis method. This difficult task requires reflection concerning the interactions between tissues and imaging sources, to define judicious structuring elements. These structuring elements should facilitate the choice of the best texture analysis method, for the particular application. Considerable methodological progress has yet to be made, after which texture analysis should be a useful and efficient tool for clinical use.

Mesh:

Year:  1995        PMID: 8762272

Source DB:  PubMed          Journal:  Ann Radiol (Paris)        ISSN: 0003-4185


  4 in total

1.  Studies on tissue characterization by texture analysis with co-occurrence matrix method using ultrasonography and CT imaging.

Authors:  Yi Wang; Kouichi Itoh; Nobuyuki Taniguchi; Hisao Toei; Fukiko Kawai; Michiru Nakamura; Kiyoka Omoto; Kyoko Yokota; Tomoko Ono
Journal:  J Med Ultrason (2001)       Date:  2002-12       Impact factor: 1.314

2.  Transrectal real-time elastography of the prostate: Normal patterns.

Authors:  A Goddi; A Sacchi; G Magistretti; J Almolla
Journal:  J Ultrasound       Date:  2011-10-21

3.  Comparison of heterogeneity quantification algorithms for brain SPECT perfusion images.

Authors:  Romain Modzelewski; Elise Janvresse; Thierry de la Rue; Pierre Vera
Journal:  EJNMMI Res       Date:  2012-07-20       Impact factor: 3.138

4.  Radiomics models based on enhanced computed tomography to distinguish clear cell from non-clear cell renal cell carcinomas.

Authors:  Ping Wang; Xu Pei; Xiao-Ping Yin; Jia-Liang Ren; Yun Wang; Lu-Yao Ma; Xiao-Guang Du; Bu-Lang Gao
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

  4 in total

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