Hüseyin KURTULDU, Aynur Didem OKTAN, Hatice CANDAN, Beste Sahra CİHANGİROĞLU

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Hiperspektral Görüntüleme ile Kırmızı Kan Hücresi Analizi

Hiperspektral görüntüleme sistemi yüzlerce spektral bandı kullanma avantajına sahip; nesneleri bulma, tanıma, sınıflandırma için görüntü içerisindeki her bir piksele ait spekral imza olarak isimlendirilen spektral bilgiyi elde etmeyi amaçlayan yeni bir teknolojidir. Daha çok uzaktan algılama alanında çalışılıyor olsa da son yıllarda sağlık alanında da üzerinde çalışılmakta olan konular arasındadır. Hiperspektral görüntüleme sistemi tıbbi uygulamalar için yeni bir görüntüleme modelidir ve non-invaziv hastalık tanısı, cerrahi kılavuzluk gibi alanlarda büyük potansiyel oluşturmaktadır. Bu çalışmada, bir hiperspektral görüntüleme sistemi inşa edildi. Geliştirilen sistem kullanılarak, kan örneğinin mikroskopik görüntüleri alındı. Kan örneği içerisinde yer alan kırmızı kan hücreleri farklı dalga boylarında incelenerek görüntü analizi yapıldı. Bu işlem sırasında öncelikle kırmızı kan hücrelerinin(eritrosit) yerleri tespit edildi. Sonrasında her bir eritrosit için sitoplazma, hücre kenarı, ekstraselüler sıvı ve hücre merkezinde yer alan soluk renkli alanın tespiti yapıldı.
Anahtar Kelimeler:

Hiperspektral görüntüleme, kırmızı kan hücresi, eritrosit, sınıflandırma

Red Blood Cell Analysis by Hyperspectral Imaging

Hyperspectral imaging is a new technology that aims to use the spectral information of each pixel in different spectral bands to find, identify and classify objects in an image. The hyperspectral imaging system, which is frequently used in the field of remote sensing, is becoming a new imaging model for medical applications and non-invasive disease diagnosis. In this study, a hyperspectral microscope system capable of capturing images of biological samples at different range of spectral wavelengths was developed. With this system, red blood cells in the blood sample were analyzed at various wavelengths and image classification was performed to determine the locations of red blood cells (erythrocytes). Subsequently, the detection of cytoplasm, cell edge, extracellular fluid, and pale area in the cell center of each erythrocyte was successfully performed.
Keywords:

Hyperspectral imaging, red blood cell, classification, segmentation,

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Natural and Applied Sciences Journal-Cover
  • ISSN: 2645-9000
  • Başlangıç: 2018
  • Yayıncı: İzmir Demokrasi Üniversitesi
Arşiv
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