Automatic detection of embryo using Particle Swarm Optimization based Hough Transform

Ikhsanul Habibie, Anom Bowolaksono, Robeth Rahmatullah, Muhammad Nanda Kurniawan, Muhammad Iqbal Tawakal, I. Putu Satwika, Petrus Mursanto, Wisnu Jatmiko, Adi Nurhadiyatna, Budi Wiweko, Adi Wibowo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

In-Vitro Fertilization (IVF) is a procedure to obtain embryo by inseminating oocyte and sperm outside human body. Several embryos are produced at the end of this procedure and it remains a problem to select the most appropriate embryo to be implanted into uterus. Many strategies have been proposed for selection of the embryo. The latest is time-lapse microscopy which monitors the embryo development continuously. An automatic method using computer to detect and locate the position of the embryo is thus needed. In this paper, an approach based on a modification of Hough Transform using Particle Swarm Optimization (PSO) is proposed to approximate the embryo as a circle. Each PSO particle represents a circle in the parameter space and mainly used to reduce the computational complexity of Hough Transform. Experiment result showed that the proposed method is able to detect the position of the embryo accurately. The result from this method can be used to extract criteria for embryo transfer purpose.

Original languageEnglish
Title of host publication2013 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2013
PublisherIEEE Computer Society
ISBN (Print)9781479915293
DOIs
Publication statusPublished - 2013
Event2013 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2013 - Nagoya, Japan
Duration: 10 Nov 201313 Nov 2013

Publication series

Name2013 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2013

Conference

Conference2013 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2013
Country/TerritoryJapan
CityNagoya
Period10/11/1313/11/13

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