Instructor: Meng-Lin Li (李夢麟)
Course description:
Introduce basic principles of biomedical ultrasound imaging systems
including conventional ultrasound and an emerging and promising ultrasound-
mediated biophotonic imaging modality - photoacoustic imaging. Collateral
comparisons between these two imaging modalities (ultrasound versus optics)
are included for each lecture topic. System design considerations, related
signal processing and recent progress will be discussed. Fundamentals in
tissue optics will be also introduced.
Undergraduate students who have taken “Signals and Systems”, “Communication
Systems (I)”, or "Introduction to DSP" are also welcome.
Prerequisites:
Signals and Systems (at least knowledge of Fourier transform and sampling),
or
consent of instructor
Tentative topics:
1. Overview of Biomedical Ultrasonic Imaging
2. Acoustic Wave Propagation
3. Scattering, Attenuation and Speckle – Ultrasound versus Optics
4. Tutorial on Photoacoustic Imaging
5. Diffraction and Beam Formation Using Arrays
6. Real-Time Image Formation
7. Color and Spectral Doppler
8. Emerging Technologies and Trends
Textbook:
Class notes.
Related materials and papers will be distributed when appropriate.
Class notes and related materials can be downloaded from
http://eeclass.nthu.edu.tw
Lecture method:
Flipped classroom
(Powerpoint lecture slides + Asynchrounous on-line lectures + In class Q&A)
References:
1. Lecture notes of Prof. Pai-Chi Li, National Taiwan University
2. Thomas L. Szabo, “Diagnostic Ultrasound Imaging: Inside Out,”
Elsevier Academic Press, 2004.
3. Lihong V. Wang, and H.-I. Wu, “Biomedical Optics: Principles and
Imaging,” Wiley-Interscience, 2007.
4. Richard S. C. Cobbold, “Foundations of Biomedical Ultrasound,”
Oxford University Press, 2007.
5. J. W. Goodman, “Introduction to Fourier Optics,” MaGraw-Hill, 1968.
6. J. A. Jensen, “Estimation of Blood Velocity Using Ultrasound,”
Cambridge University Press, 1996.
7. K. K. Shung, M. B. Smith, and B. Tsui, “Principles of Medical
Imaging,” Academic Press, 1992.
Grading:
50% Computer homework (MATLAB)
30% Quizzes and midterm exam
20% Final report/presentation
Grading for late homework:
final score = (original score)*0.9^((delivery date – due date)/2)
(Note that these weights are approximate; we reserve the right to change
them later.)
Schedule:
TBA