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Introduction to Biomedical Imaging Systems

Biomedical Imaging Systems is an intermediate-level course that explores the physical principles and mathematical foundations of modern medical imaging. It covers X-ray and CT systems, Fourier analysis, and image quality evaluation (MTF, SNR, resolution, noise), linking imaging physics with system performance and diagnostic optimization.

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No Certificate / Course on Audit Track

About Course

Biomedical Imaging Systems Course provides an intermediate-level exploration of the physical principles, mathematical modeling, and system-level analysis underlying modern biomedical imaging modalities. The course covers linear shift-invariant systems, Fourier analysis, X-ray physics, CT instrumentation, projection radiography, and quantitative image quality evaluation (MTF, SNR, resolution, and noise modeling). Emphasis is placed on linking imaging physics with system performance and diagnostic optimization for engineering and medical physics learners.

Authorship and Attribution

This course has been curated by Riphah International University faculty and staff using publicly available third-party content and Open Educational Resources (OER) for self-paced learning. Learners will engage with curated open-access materials to achieve the course learning outcomes. All third-party content is used under open-access or fair-use policies, while any original materials are developed specifically for this learning experience.

Source and Credits 1:

  • Instructor: DR.Arun K. Thittai IIT Madras (NPTEL)
  • Provider: YouTube (@nptel-nociitm9240)
  • License: Standard YouTube license

What You'll Learn

By completing this course, you will be able to:

  • Explain the fundamental principles of biomedical imaging modalities, including system components, signal representation, and performance characteristics across different imaging systems.
  • Apply and analyze linear shift-invariant (LSI) system theory and Fourier transform concepts into model image formation, signal modulation, resolution, and contrast behavior in biomedical imaging systems.
  • Analyze radiation–matter interactions, X-ray generation mechanisms, attenuation processes, and dosimetric quantities relevant to projection radiography.
  • Apply mathematical models to describe image formation in projection radiography, including intensity distribution, magnification, focal spot effects, and imaging equations.
  • Evaluate image quality using quantitative metrics such as resolution, modulation transfer function (MTF), optical density, noise modeling, and signal-to-noise ratio (SNR), and assess trade-offs between image quality and radiation dose.

Prerequisites

To be successful in this course, learners should have:

  • Basic engineering mathematics (Linear Algebra, Calculus)
  • Signals and Systems fundamentals
  • Basic Physics (Wave & Electromagnetism concepts)
  • Introductory anatomy knowledge (not mandatory

Who Can Take This Course?

This course is designed for:

  • Undergraduate Biomedical Engineering students.
  • Electrical Engineering students with medical imaging interest.
  • Medical physics learners.
  • Faculty integrating imaging modules into coursework.

Course Outline

Introduction to Biomedical Imaging

Introduction to Biomedical Imaging (Video)

Imaging Modalities

Fourier Transform Fundamentals for Image Systems (Video)

Signals & Systems in Imaging

Quantitative Evaluation of Image Quality: Resolution, Noise, and Artifacts (Video)

Image Quality & Performance Metrics

Signal Modulation and Contrast Analysis in Biomedical Imaging (Video)

Fundamentals of Linear Shift-Invariant

Fundamentals of Linear Shift-Invariant (LSI) Systems for Medical Imaging (Video)

Fourier Transform Fundamentals for Image Systems

Review of signals and systems (Video)

Quantitative Evaluation of Image Quality: Resolution, Noise, and Artifacts

Evolution of CT Generations (Video)

Signal Modulation and Contrast Analysis in Biomedical Imaging

The visualization and characteristics of 2D sinusoidal signal (Video)

Image Resolution and Performance Metrics

Blurring and Noise (Video)

Modeling and Analysis of Noise in Biomedical Imaging Systems

Physics of Radiography (Video)

Atomic structure and the concept of ionization

Types of Ionizing Radiations (Video)

Electron–Matter Interactions and X-Ray Generation Mechanisms in Radiography

EM Radiation (Video)

Attenuation of Electromagnetic Radiation: Fluence, Intensity, and Beam Characterization

Energy transfer mechanisms (Video)

Fundamentals of Radiation Dosimetry and Energy-Dependent Attenuation

Principles of Radiation Dosimetry and Energy-Dependent Dose Quantification (Video)

Radiation Dosimetry and Image Quality Optimization

Advanced Radiation Dosimetry and Beam Compensation in Diagnostic Radiography (Video)

Design and Functional Principles of Diagnostic X-Ray Tubes

PR Image Formation (Video)

Geometric Image Formation and Mathematical Modeling in Projection Radiography

Imaging Equations in Projection Radiography (Video)

Film-Screen Imaging and Optical Density Characteristics

Introduction to Film-Screen Systems (Video)

Image Quality Metrics and Noise Analysis in Radiography

Fundamentals of Image Quality in Projection Radiography (Video)

Skills You Will Gain

Imaging Basics X-Ray Physics CT Instruments CT Reconstruction Artifact Analysis Projection Radiography Image Quality Noise & Resolution System Performance Diagnostic Optimization

Course Information

Duration

Approximately 16 Hours

Course Information

Difficulty Level

Intermediate

Learning Mode

Fully Online (Asynchronous)

Learning Type

Self Paced

Language

English Only

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Instructor/Curator

Course Instructor