Introduction to Image Reconstruction in CT
Автор: Monash Medical Physics
Загружено: 2025-03-11
Просмотров: 406
Описание:
In this video, we dive into the fundamentals of CT image reconstruction, covering key concepts like filtered back projection (FBP), iterative reconstruction (IR), and AI-based deep learning reconstruction (DLR). We explore how X-ray projections are acquired, transformed, and processed to create high-quality medical images used in clinical diagnostics.
🔹 The physics behind X-ray attenuation and image reconstruction
🔹 Object space, Radon space, and Fourier space explained
🔹 The role of filtered back projection (FBP) and its limitations
🔹 Advances in iterative reconstruction (IR) for noise reduction
🔹 The future of AI-driven deep learning reconstruction (DLR) in CT imaging
📊 Learn how different reconstruction methods impact image quality, noise reduction, and radiation dose—and how AI is revolutionising medical imaging.
#CTReconstruction #MedicalImaging #Radiology #DeepLearning #Xray #ComputedTomography #AIinHealthcare 🚀
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