DocumentCode :
3586771
Title :
Automatic zona pellucida dissection position selection for embryo biopsy in pre-implantation genetic diagnosis
Author :
Zenan Wang ; Wei Tech Ang
Author_Institution :
Nanyang Technol. Univ., Singapore, Singapore
fYear :
2014
Firstpage :
475
Lastpage :
480
Abstract :
Pre-implantation genetic diagnosis (PGD) is a prenatal diagnosis process that analyses embryos grown in vitro for well-defined genetic defects. In order to obtain one or two blastomeres from an embryo for analysis, embryo biopsy is performed. Embryo biopsy is a process that opens the zona pellucida of an embryo and extracts internal materials, blastomeres in this case, prior to genetic diagnosis. Embryo biopsy can be performed mechanically, chemically or using laser technology. Irrespective of the approach used for embryo biopsy, a suitable zona pellucida opening position must first be selected to prevent the embryo and blastomeres from lysis. The commonly known suitable position for zona pellucida dissection is the perivitelline space, which is the empty space bounded by blastomeres and zona pellucida. Embryo biopsy is a labor intensive and time consuming process that has very stringent skill requirements for embryologists. In this paper, we introduce a single-image automatic zona pellucida dissection position selection algorithm to make embryo biopsy one step closer towards automatic. Through experiment, we have achieved a 93% success rate in successfully recognize a suitable zona cutting position from 37 out of 40 Hoffman Modulation Contrast (HMC) microscopy embryo images.
Keywords :
genetics; medical image processing; HMC; Hoffman modulation contrast; PGD; automatic zona pellucida dissection position selection; blastomeres; embryo biopsy; genetic defects; lysis; microscopy embryo images; pre-implantation genetic diagnosis; prenatal diagnosis process; zona cutting position; Biopsy; Brightness; Correlation; Embryo; Estimation; Genetics; Image edge detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
Type :
conf
DOI :
10.1109/ROBIO.2014.7090376
Filename :
7090376
Link To Document :
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