Makkapati Vishnu V, Rao Raghuveer M
Philips Research Asia - Bangalore, Philips Innovation Campus, Philips Electronics India Limited, Manyata Tech Park, Nagavara, Bangalore 560 045, Karnataka, India.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6138-41. doi: 10.1109/IEMBS.2011.6091516.
The diagnosis and treatment of malaria infection requires detecting the presence of the malaria parasite in the patient as well as identification of the parasite species. We present an image processing-based approach to detect parasites in microscope images of a blood smear and an 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 formulate several rules based on the morphology of the basic components of a parasite, namely, chromatin dot(s) and cytoplasm, to identify the parasite stage and species. Numerical results are presented for data taken from various patients. A sensitivity of 88% and a specificity of 95% is reported by evaluation of the scheme on 55 images.
疟疾感染的诊断和治疗需要检测患者体内疟原虫的存在以及疟原虫种类的鉴定。我们提出了一种基于图像处理的方法来检测血涂片显微镜图像中的疟原虫，并基于本体对疟原虫阶段进行分类以识别感染种类。这种方法是仿照病理学家用于视觉检查的诊断方法，因此有望产生相似的结果。我们根据疟原虫基本组成部分的形态，即染色质点和细胞质，制定了几条规则来识别疟原虫阶段和种类。给出了从不同患者获取的数据的数值结果。通过对55张图像的方案评估，报告的灵敏度为88%，特异性为95%。
