OSE4830 - Imaging and Display

Credit Hours: 3 hours

Prerequisites: EEL 3123C, OSE 3052

Detailed Description:

This course introduces the basic principles of two- and three-dimensional imaging systems. It begins with the mathematical description of image formation as a linear system and draws on the student’s knowledge of signals and systems to introduce the concepts of point spread function, transfer function, resolution, and restoration. Actual physical imaging systems (such as microscopes, telescopes, and copiers) operating in the gazing and scanning configurations are subsequently modeled and their resolution assessed. Interferometric imaging systems and their applications in metrology are described. Techniques for depth profiling are then introduced including point-by-point scanning (as in laser scanning fluorescence microscopy), echo ranging (as in sonar and radar imaging), and interferometry (as in optical coherence tomography). This is followed by an introduction to computational imaging, including the techniques of computed tomography (CT), range tomography, and magnetic resonance imaging (MRI). Hyperspectral imaging systems and their various configurations are then described including applications in detection (of tumors, for example) and classification (of different targets). Performance measures such as sensitivity and specificity are introduced. Applications for remote sensing, nondestructive testing, and biology and medicine are highlighted.

List of Topics:

• Description of imaging systems via 2D and 3D signals and systems.
• Point spread function, transfer function, resolution, and restoration.
• Imaging instruments: microscopes, telescopes, scanners and copiers.
• Interferometric imaging. Optical metrology.
• Depth imaging: point-by-point scanning (laser scanning fluorescence microscopy), echo ranging (sonar and radar imaging), and interferometry (optical coherence tomography).
• Computational imaging: X-ray computed tomography (CT).
• Magnetic resonance imaging (MRI) and functional imaging.
• Hyperspectral imaging and applications in remote sensing, medicine, and biology.
• Performance measures: sensitivity and specificity, ROC characteristics.

Learning Outcomes: Upon completing this course, the students will:

• understand the basic configurations of imaging instruments, including microscopes, telescopes, scanners and copiers.
• understand how to model imaging system using linear system principles.
• be able to select appropriate imaging modalities for various imaging applications.
• understand the need for interferometric methods in optical imaging.
• understand the importance of computational imaging and become familiar with the concept behind inverse problems.
• appreciate the distinction between structural and functional imaging.
• acquire an integrated view of engineering by seeing the fundamental analogies between electrical and optical systems (by virtue of the analogy between one-dimensional and two-dimensional concepts).