TIBBIY TASVIR OLISH JARAYONINING FIZIK VA MATEMATIK MODELLASHTIRILISHI: SNR OPTIMALLASHTIRISH VA INVERSE PROBLEM YONDASHUVI
Keywords:
tibbiy tasvirlash, MRI, inverse problem, SNR, matematik model, rekonstruksiya, regularizatsiyaAbstract
Ushbu tadqiqotda tibbiy tasvir olish jarayonining fizik va matematik modellashtirish asoslari o‘rganildi. MRI tizimlarida signal hosil bo‘lishi, SNR optimallashtirish, inverse problem yondashuvi hamda to‘qima fizik xususiyatlarining tasvir sifatiga ta’siri tahlil qilindi. Tadqiqot natijalari shuni ko‘rsatadiki, regularizatsiya va sun’iy intellekt asosidagi rekonstruksiya usullari tasvir sifatini sezilarli yaxshilaydi va shovqin ta’sirini kamaytiradi.
References
1. Abdullayev Sh. A. Magnit-rezonans tomografiya tizimlarida tasvirlarni qayta ishlash algoritmlari. Toshkent davlat texnika universiteti ilmiy ishlari to‘plami, 2019, №3, 45–52-b.
2. Gusev A. I., Petrov V. V. Tomografik tizimlarda tasvirlarni rekonstruksiya qilish usullari. Texnik fizika jurnali (Rossiya), 2018, T. 88, №5, 701–709-b.
3. Haacke E. M., Brown R. W., Thompson M. R., Venkatesan R. Magnetic Resonance Imaging: Physical Principles and Sequence Design. Wiley-Liss, New York, 2014.
4. Liang Z. P., Lauterbur P. C. Principles of Magnetic Resonance Imaging: A Signal Processing Perspective. IEEE Press, New York, 2000.
5. Hansen P. C. Discrete Inverse Problems: Insight and Algorithms. SIAM, Philadelphia, 2010.
6. Kaipio J., Somersalo E. Statistical and Computational Inverse Problems. Springer, New York, 2005.
7. Lustig M., Donoho D., Pauly J. M. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magnetic Resonance in Medicine, 2007, Vol. 58(6), pp. 1182–1195. DOI: 10.1002/mrm.21391
8. Goodfellow I., Bengio Y., Courville A. Deep Learning. MIT Press, Cambridge, 2016.
9. Zhang Y., Yang J., et al. Deep learning-based image reconstruction in MRI: A review. IEEE Transactions on Medical Imaging, 2020, Vol. 39(8), pp. 2495–2508. DOI: 10.1109/TMI.2020.2978510
10. McRobbie D. W., Moore E. A., Graves M. J., Prince M. R. MRI from Picture to Proton. Cambridge University Press, Cambridge, 2017.
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