Multiresolution texture analysis for human oocyte cytoplasm description

In this work we present an approach based on image texture analysis to obtain a description of oocyte cytoplasm which could aid the medical expert in the selection of oocytes to be used for assisted insemination. More specifically, we describe some characteristics such as different levels of uniformity and/or granularity in the oocyte cytoplasm, using multiresolution texture analysis applied to light microscope images. To this aim, we evaluate some statistical measures in the wavelet transform domain of image regions and classify them according to different levels of granularity. Preliminary experimental results on a collection of light microscope images of oocytes are reported to show the effectiveness of the proposed approach.

[1]  M Plachot,et al.  Conséquences d’une dysmorphie ovocytaire sur la fécondation et le développement embryonnaire après injection intracytoplasmique d’un spermatozoïde. Étude prospective, multicentrique , 2002 .

[2]  S Suppinyopong,et al.  Correlation of oocyte morphology with fertilization rate and embryo quality after intracytoplasmic sperm injection. , 2000, Journal of the Medical Association of Thailand = Chotmaihet thangphaet.

[3]  J Selva,et al.  [Consequences of oocyte dysmorphy on the fertilization rate and embryo development after intracytoplasmic sperm injection. A prospective multicenter study]. , 2002, Gynecologie, obstetrique & fertilite.

[4]  Andreas Lenhard,et al.  Influence of Polarization Effects in Ooplasma and Pronuclei on Embryo Quality and Implantation in an IVF Program , 2004, Journal of Assisted Reproduction and Genetics.

[5]  Anil K. Jain,et al.  Learning Texture Discrimination Masks , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Lance M. Kaplan.  Extended fractal analysis for texture classification and segmentation , 1999, IEEE Trans. Image Process..

[8]  S Hamamah.  [Oocyte and embryo quality: is their morphology a good criterion?]. , 2005, Journal de gynecologie, obstetrique et biologie de la reproduction.

[9]  J. Barba,et al.  A parametric fitting algorithm for segmentation of cell images , 1998, IEEE Transactions on Biomedical Engineering.

[10]  Dansheng Song,et al.  An adaptive image segmentation process for the classification of lung biopsy images , 2006, SPIE Medical Imaging.

[11]  D. Loutradis,et al.  Oocyte morphology correlates with embryo quality and pregnancy rate after intracytoplasmic sperm injection. , 1999, Fertility and sterility.

[12]  Martin Wilding,et al.  An oocyte score for use in assisted reproduction , 2007, Journal of Assisted Reproduction and Genetics.

[13]  A Adler,et al.  Intracytoplasmic sperm injection in dysmorphic human oocytes , 1995, Zygote.

[14]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[15]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[16]  Arivazhagan Selvaraj,et al.  Texture classification using wavelet transform , 2003, Pattern Recognit. Lett..

[17]  P. De Sutter,et al.  Oocyte morphology does not correlate with fertilization rate and embryo quality after intracytoplasmic sperm injection. , 1996, Human reproduction.

[18]  Catherine Garbay,et al.  Image Structure Representation and Processing: A Discussion of Some Segmentation Methods in Cytology , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  H. Tinneberg,et al.  Light retardance by human oocyte spindle is positively related to pronuclear score after ICSI. , 2006, Reproductive biomedicine online.

[20]  Michael Unser,et al.  Multiresolution Feature Extraction and Selection for Texture Segmentation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Michalis Vazirgiannis,et al.  Clustering validity checking methods: part II , 2002, SGMD.

[22]  H.M. Wechsler,et al.  Digital image processing, 2nd ed. , 1981, Proceedings of the IEEE.

[23]  Jack Sklansky,et al.  On the Hough Technique for Curve Detection , 1978, IEEE Transactions on Computers.

[24]  T. Poggio.  Vision by man and machine. , 1984, Scientific American.

[25]  J. Gil,et al.  Iterative thresholding for segmentation of cells from noisy images , 2000, Journal of microscopy.

[26]  Tianzi Jiang,et al.  Cell Image Segmentation with Kernel-Based Dynamic Clustering and an Ellipsoidal Cell Shape Model , 2001, J. Biomed. Informatics.

[27]  P. Serhal,et al.  Oocyte morphology predicts outcome of intracytoplasmic sperm injection. , 1997, Human reproduction.