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Ontology-based Malaria Parasite Stage and Species Identification from Peripheral Blood Smear Images


These file attachments have been under embargo and were made available to the public after the embargo was lifted on 16 September 2011.

Author: Makkapati, V. · Rao, R. (US Army Research Laboratory)
Type:Conference paper
Embargo lifted:2011-09-16
Publisher: IEEE
Institution: Philips Research
Source:EMBC 2011: 33rd Annual International Conference of tje IEEE Engineering in Medicine and Biology Society, Boston, USA, 30 August - 3 September 2011; authors version
Identifier: MS 28.601
Keywords: chromatin dots segmentation · cytoplasm segmentation · malaria diagnosis · species identification
Rights: (c) IEEE


The diagnosis and treatment of malaria infection requires detectingthe presence of malaria parasite in the patient as well as identification of the parasite species. We present an image processing-basedapproach to detect parasites in microscope images of blood smear andan ontology-based classification of the stage of the parasite for identifying the species of infection. This approach is patterned after the diagnosis approach adopted by a pathologist for visual examination and hence is expected to deliver similar results. We formulateseveral rules based on the morphology of the basic components of a parasite namely chromatin dot(s) and cytoplasm to identify parasite stage and species. Numerical results are presented for data taken from various patients. Sensitivity of 88% and specificity of 95% is reported by evaluation of the scheme on 55 images.

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