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Tracking of Human Sperm Cell using a Dynamic Bayesian Network Based Framework
, Ph.D. Dissertation Sharif University of Technology ; Vosoughi Vahdat, Bijan (Supervisor) ; Salman Yazdi, Reza (Co-Supervisor)
Abstract
Infertility is an important problem to deal in medicine. In every four couples, on average, one couple is affected by infertility in developing countries. In the majority of cases, the infertility of men has a relationship with spermatozoa and semen, and can be measured by semen and spermatozoa analysis for more advanced diagnosis and treatments. Analysis of the movement patterns of spermatozoa were performed by expert screeners earlier, but nowadays, many of these analyzes are performed using computer-based systems called computer assisted sperm analysis (CASA). The benefits of using CASA instead of expert screeners are achieving system-independency and numerical results at the end of the...
Optimized kalman filter based on second momentum and triple rectangular for cell tracking on sequential microscopic images
, Article 22nd Iranian Conference on Biomedical Engineering, 25 November 2015 through 28 November 2015 ; 2015 , Pages 251-256 ; 9781467393515 (ISBN) ; Fatemizadeh, E ; Setarehdan, S. K ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
Abstract
Cell dynamics and motion stages are very important issues in the biological cell investigation in this novel method, we propose a novel method based on Kalman filter and second momentum for tracking cells on Sequential Microscopic Images. In proposed manner at first, we select a cell and cut covering rectangle. in the next step, we predict rectangle center of the cell in Next frame based on a modeling of velocity-acceleration using Kalman filter. The rectangle with triple covering area of previous cell rectangle and predicting center by Kalman filter is considered as a searching area. So, if all objects in the search areas have second momentum error less than threshold, it is selected as a...