HISTALIM

Soisy-sous-Montmorency, France
Soisy-sous-Montmorency, France

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Coatelen J.,University dAuvergne | Coatelen J.,University of Monastir | Albouy-Kissi A.,University dAuvergne | Albouy-Kissi A.,University of Monastir | And 9 more authors.
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 | Year: 2014

Biopsy remains the gold standard for the diagnosis of chronic liver diseases. However, the concordance between readers is subject to variability causing an increasing need of objective tissue description methods. A complete framework has been implemented to analyze histological images from any kind of tissue. Based on the feature selection approach, it computes the most relevant subset of descriptors in terms of classification from a wide initial list of local and global descriptors. In comparison with equivalent methods, this implementation is able to find lists of descriptors which are significantly shorter for an equivalent accuracy and furthermore it enables the classification of slides using combinations of global and local measurements. The results have pointed that it could reach an accuracy of 82.8% in a human liver fibrosis grading approach by selecting 6 descriptors from an initial set of 258 global and local descriptors. © 2014 IEEE.


Coatelen J.,University dAuvergne | Coatelen J.,University of Monastir | Albouy-Kissi A.,University dAuvergne | Albouy-Kissi A.,University of Monastir | And 9 more authors.
5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015 | Year: 2015

Biopsy remains the gold standard for the diagnosis of chronic liver diseases. However, the variability in the diagnostic between readers leads to define a method to objectively describe histologic tissue. A complete framework has been implemented to analyze images of any tissue. Based on subset selection and feature ranking approaches, a feature selection computes the most relevant subset of descriptors in terms of classification from a wide initial list of descriptors. In comparison with equivalent methods, this implementation can find lists of descriptors which are significantly shorter for an equivalent accuracy. Furthermore, it enables the classification of slides using combinations of global and local measurements. The results have pointed that it could reach an accuracy of 90.5% (ROC-AUC=81.1%) in a human liver fibrosis grading approach by selecting 3 of the 457 global and local descriptors. The feature ranking approach gave less accurate subsets than the subset selection. © 2015 IEEE.


Coatelen J.,HISTALIM | Coatelen J.,Institute Des Science Of Limage Pour Les Techniques Interventionnelles | Albouy-Kissi A.,Institute Des Science Of Limage Pour Les Techniques Interventionnelles | Albouy-Kissi B.,Institute Des Science Of Limage Pour Les Techniques Interventionnelles | And 6 more authors.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE | Year: 2014

The pathologists have an expert knowledge of the classification of fibrosis. However, the differentiation of intermediate grades (ex: F2-F3) may cause significant inter-expert variability. A quantitative morphological marker is presented in this paper, introducing a local-based image analysis on human liver tissue slides. Having defined hotspots in slides, the liver collagen is segmented with a color deconvolution technique. After removing the regions of interstitial fibrosis, the fractal dimension of the fibrosis regions is computed by using the boxcounting algorithm. As a result, a quantitative index provides information about the grade of the fibrosis regions and thus about the tissue damage. The index does not take account of the pathological status of the patient but it allows to discriminate accurately and objectively the intermediate grades for which the expert evaluation is partially based on the fibrosis development. This method was used on twelve human liver biopsies (from six different patients) using constant conditions of preparation, acquisition (same image resolution, magnification x20) and box-counting parameters. The liver tissue slides were labeled by a pathologist using METAVIR scores. A reasonably good correlation is observed between the METAVIR scores and the proposed morphological index (p-value < 0:001). Furthermore, the method is reproducible and scale independent which is appropriate for biological high resolution images. Nevertheless, further work is needed to define reference values for this index in such a way that METAVIR subdomains will be well delimited. © 2014 SPIE.


Sifre L.,Histalim | Coton J.P.,Histalim | Andre B.,Histalim | Rezacova-Lukaskova Z.,University of Veterinary And Pharmaceutical Sciences Brno
Journal of Microscopy | Year: 2013

Optical microscopy offers the simplest way to obtain magnified images of biological tissues. The assessment of the muscle destructuration level can be performed by a method called Meat Destruction Indicator (MDI), which combines optical microscopy and image analysis. MDI can be used for evaluation of food quality and for considering mechanically separated meat (meat raw material with an MDI value above 58.1% contained muscle fibres sufficiently destructured). This paper is particularly focused on the metrological optimization of a quantitative image analysis method around the example of MDI measurement by microscopy, especially on the digital acquisition calibration focusing and analysis work-flow. Ten different samples (45 sections) were examined with variable settings of microscope and camera to define the optimal configuration. The tests were performed with different observers to define rules and criteria for results validation. Based on the obtained results, we suggest choosing objective rules to set the light and colour of the camera and the microscope focus. To control the results of the automatic segmentation emerged also as a key step, and objective rules for observers to select or discard wrong segmented images should be defined. The adjusted MDI measurement by microscope can be used as a reliable method with good repeatability, thanks to this metrological assessment, which could and should be applied to all image analysis applications whatever the application. © 2013 The Authors. Journal of Microscopy © 2013 Royal Microscopical Society.


Steen L.,Catholic University of Leuven | Fraeye I.,Catholic University of Leuven | Goemaere O.,Catholic University of Leuven | Sifre L.,Histalim | And 3 more authors.
Food and Bioprocess Technology | Year: 2014

This paper reports the effect of two liver/fat ratios (35/35 and 20/50) and two salt levels (0 and 1.8 %) on the microstructure, emulsion stability, textural and sensorial properties of spreadable liver paste. The conventional liver paste, a hot emulsion, consists of fat globules surrounded by a protein layer and dissolved proteins in a continuous phase forming a gel matrix. Addition of salt led to a microstructure with smaller fat globules and increased fat binding properties, causing more stable emulsions. This was attributed to an increased solubilisation of the liver proteins which are available for gel formation and as emulsifier, resulting in a harder, less spreadable product. The microstructure and emulsion stability were highly influenced by the liver/fat ratio. A lower liver/fat ratio resulted in a more heterogeneous microstructure with bigger fat globules and the formation of fat channels throughout the structure of the product. Less gelling proteins were dissolved in the continuous phase and also a smaller amount of proteins were available to act as emulsifier. Although less stable emulsions were formed, the liver/fat ratio did not affect the hardness of liver paste. These results suggest that both liver protein gelation and fat crystallization contribute to the hardness of liver paste. © 2014, Springer Science+Business Media New York.

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