Keywords
Abstract
Ushbu maqolada foton sanash detektori (PCD) yordamida 15 ta energiya kanalida (30–140 keV) olingan ko‘p energiyali rentgen kompyuter tomografiyasi (KT) tasvirlarini avtomatik segmentatsiya qilishning yangi ko‘p bosqichli usuli taqdim etiladi. Taklif etilgan usul LAC asosida z-qiymat filtrlash, Sobel chegarali tuzatish, KMeans boshlang‘ich klasterlash va FastLabel iterativ aniqlash bosqichlarini o‘z ichiga oladi. Alyuminiy namunasi uchun LAC validatsiyasida SIRT rekonstruktsiya algoritmi 50–130 keV oralig‘ida MARE = 0.0% aniqlikda ishlagan, barcha kanallar bo‘yicha esa MARE ≈ 2.1% ni tashkil etgan. Sintez phantom validatsiyasida (4 material, 15 kanal) o‘rtacha Dice koeffitsienti DSC = 0.994, IoU = 0.988 natijasi olingan. Bir energiyali Otsu usuli bilan qiyoslaganda yaxshilanish +136% ni tashkil etdi. Algoritm o‘rtacha 6 ta iteratsiyada yaqinlashib, 2–5 soniyada natija beradi.
References
Alvarez R.E., Macovski A. Energy-selective reconstructions in X-ray computerized tomography. Phys. Med. Biol. 1976; 21(5): 733–744.
2. McCollough C.H. et al. Dual- and multi-energy CT: principles, technical approaches, and clinical applications. Radiology. 2015; 276(3): 637–653.
3. Johnson T.R.C. Dual-energy CT: general principles. AJR. 2012; 199(5): S3–S8.
4. Willemink M.J. et al. Photon-counting CT: technical principles and clinical prospects. Radiology. 2018; 289(2): 293–312.
5. Otsu N. A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 1979; 9(1): 62–66.
6. Ronneberger O. et al. U-Net: convolutional networks for biomedical image segmentation. MICCAI. 2015; 9351: 234–241.
7. Arthur D., Vassilvitskiy S. k-means++: the advantages of careful seeding. SODA. 2007; pp. 1027–1035.
8. Phalempin M. et al. Deep learning segmentation of soil constituents in 3D X-ray CT images. Geoderma. 2025; 458: 117321.
9. Diekhoff T. et al. Spectral CT in musculoskeletal imaging. Eur. J. Radiol. 2021; 134: 109421.
10. Jumanazarov D., Song M., Koo J., Olsen U.L. Method for the image segmentation with multi-energy x-ray CT. Urgench State University / Gachon University / DTU Physics. 2024.