Hiperspektral Görüntüleme ile Kırmızı Kan Hücresi Analizi

Year 2018, Volume: 1 Issue: 2, 1 - 7, 29.12.2018

Hüseyin Kurtuldu , Aynur Didem Oktan Hatice Candan Beste Sahra Cihangiroğlu

https://doi.org/10.38061/idunas.442490

Cited By: 4

Abstract

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.

Keywords

Hiperspektral görüntüleme, kırmızı kan hücresi, eritrosit, sınıflandırma

Red Blood Cell Analysis by Hyperspectral Imaging

Abstract

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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