Image Reconstruction & Enhancement Techniques
Learners gain practical understanding of algorithms that improve image clarity and diagnostic value.
Instructor
About This Course
Image Reconstruction & Enhancement Techniques focuses on the computational methods used to generate and improve medical images. The course covers reconstruction algorithms, noise reduction, contrast enhancement, and spatial filtering techniques applied to CT, MRI, ultrasound, and digital imaging systems. It is designed for biomedical engineers and imaging professionals seeking deeper insight into image processing fundamentals.
Course Outline
Introduction to Medical Image Processing
Fundamentals of Image Reconstruction
Image Reconstruction in CT Systems
Image Reconstruction in MRI Systems
Ultrasound Image Reconstruction Basics
Sampling & Resolution in Medical Images
Noise Sources in Medical Imaging
Image Enhancement Techniques
Spatial Filtering & Edge Enhancement
Contrast Enhancement Methods
Image Artifacts & Correction Techniques
Clinical Impact of Image Quality
Mr. Bit
Curriculum Overview
This course includes 0 modules, 0 lessons, and 0 hours of materials.
Course Specifications
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