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Journals / İTÜ Dergisi Seri D: Mühendislik / 2003 / Cilt: 2 - Sayı: 4

Detection of tumours by using CT, MR slices and digital images

CT, MR kesitleri ve dijital görüntüler kullanılarak tümörlerin belirlenmesi

Sedat DOĞAN
M. Orhan ALTAN
Pages
45–55
Publication Date
2022-10-19
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Furthermore, open source VTK C++ libraries, which supports OpenGL have been used and when required, VTK's functions have been modified.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, it's provided to reconstruct 3D models of a human body by using CT, MR slices and digital images and thus precisely finding locations of abnormalities such as tumors on these 3D models.
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Key Findings & Data:Volume and surface rendering techniques have been used to construct 3D models of tissues.
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Conclusion & Impact:Furthermore, open source VTK C++ libraries, which supports OpenGL have been used and when required, VTK's functions have been modified.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, it's provided to reconstruct 3D models of a human body by using CT, MR slices and digital images and thus precisely finding locations of abnormalities such as tumors on these 3D models. Volume and surface rendering techniques have been used to construct 3D models of tissues. In this study, an application has been made to find the location of tumor cited on human brain. During the application some control points have been located on to the face of the patient and then her/his head has been scanned with CT and MR scanners. Digital images of the patient's head, have also been taken. By using CT and MR images, 3D models of both brain tissues and outer face surface have been constructed. These models have been transformed to object coordinate system by using control points. On the other hand, by using digital photographs of patient's head, photo-realistic visualization of the 3D face model has been obtained by texture mapping. Finally, tumor has been detected and its location has been obtained. In order to realize above works, medical imaging and photogrammetry software has been developed. This software has been coded with Borland C++ Builder. Furthermore, open source VTK C++ libraries, which supports OpenGL have been used and when required, VTK's functions have been modified.

Özet

Bu çalışmada CT, MR kesitleri ve dijital görüntüler kullanılarak, insan vücudunun 3-boyutlu modellerinin oluşturulması ve bu modellerle tümör gibi oluşumların konumlarının yüksek doğrulukta belirlenmesi sağlanmıştır. Çalışmada, hastanın kafasının CT, MR görüntüleri ve dijital fotoğrafları çekilmiştir. Bu görüntülerle hastanın hem beyninin hem de dış yüzünün 3-boyutlu hacim ve yüzey modelleri oluşturulmuş, oluşturulan modeller kontrol noktaları yardımıyla nesne koordinat sistemine dönüştürülmüştür. Dijital fotoğraflar kullanılarak hastanın yüzünün fotorealistik görüntüsü elde edilmiştir. Daha sonra tümör dokuları belirlenmiş ve tümörün konumu hesaplanmıştır. Bu işlemleri gerçekleştirmek için bir medikal görüntüleme ve fotogrametri yazılımı geliştirilmiştir.

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Cite This Article

DOĞAN, S., ALTAN, M. O. (2022). Detection of tumours by using CT, MR slices and digital images. İTÜ Dergisi Seri D: Mühendislik, Cilt: 2 - Sayı: 4, 45–55. https://ajindex.com/articles/557379

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