Title :
Automated P.falciparum Detection System for Post-Treatment Malaria Diagnosis Using Modified Annular Ring Ratio Method
Author :
Kareem, S. ; Kale, I. ; Morling, R.C.S.
Author_Institution :
Univ. of Westminster, London, UK
Abstract :
The gametocytes of the malaria parasite Plasmodium falciparum are highly resistant to antimalarial drugs. Its presence in the blood can be detected even after a successful malaria treatment. This paper explains a modified Annular Ring Ratio method which successfully locates and differentiates gametocytes of P. falciparum species in thin blood film images. The method can be used as an efficient tool for gametocyte detection for post-treatment malaria diagnosis. It also identifies the presence of any White Blood Cells (WBCs) in the image, and discards other artifacts and non infected cells. It utilizes the information based on structure, color and geometry of the cells and does not require any segmentation or non-illumination correction techniques that are commonly used for cell detection.
Keywords :
medical image processing; patient treatment; WBC; antimalarial drugs; automated P.falciparum detection system; cell detection; gametocytes; modified annular ring ratio method; post-treatment malaria diagnosis; white blood cells; Blood; Diseases; Drugs; Image color analysis; Image segmentation; Manuals; Transforms; Annular Ring Ratio method; P. falciparum; Post treatment malaria diagnosis; Red Blood Cell (RBC); White Blood Cell (WBC); gametocyte;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-1366-7
DOI :
10.1109/UKSim.2012.108