Academics
Professor Boppart's Courses
-
Studies the fundamentals and applications of six medical imaging techniques: X-ray imaging, computed tomography, nuclear medicine, magnetic resonance imaging, ultrasound, and optical imaging. In addition, introductory material on general image formation concepts and characteristics is presented , including human visual perception and psychophysics.
-
Introduction to engineering aspects of the detection, acquisition, processing,
and display of information and signals from living systems. Topics discussed include biomedical
transducers and systems for measurement of biopotentials, force, pressures, blood flow, and
heart sounds, as well as instrumentation for cell type and surface marker identification.
-
Studies medical instrumentation and transducers for static and dynamic
inputs and measures actual biomedical signals.
-
Introduction to visible and infrared imaging systems covering fields, optical elements,
electronic sensors, and embedded processing systems. Lectures and labs cover active and passive
illumination, ranging, holography, polarization, coherence, spectroscopy and sampling with an
emphasis on electronic optomechanical control and data acquisition.
-
The course content focuses on three blocks: 1) Biophotonics Principles, 2) Diagnostic Biophotonics, and 3) Therapeutic Biophotonics. Different imaging modalities, such as OCT, CARS, FRET, SHG/THG, confocal microscopy, MPM, nonlinear optics, as well as their clinical applications are introduced. In each lecture, students lead a brief discussion about a related journal article to provide additional information, which is not yet covered in the textbook. Individual studies are also possible for extra credit.
Additional UIUC Courses
Optics:
-
Optical beams and cavities; semiclassical theory of gain; characteristics of typical lasers
(gas, solid state, and semiconductor); and application of optical devices.
-
Introduction to Optical Remote Sensing. Optical sensors including single element and area arrays (CCDs). Systems including imager, spectrometer,
interferometer and lidar optical principles and light gathering power. Electromagnetics of atomic and molecular emission and scattering with
applications to the atmosphere as an example. Applications include ground and spacecraft platforms.
-
Integrated optical and optoelectronic devices; theory of optical devices including laser sources, waveguides, photodetectors,
and modulations of these devices.
-
Analysis of information encoding, transmission and decoding in spatially complex optical systems. Analysis of digital and analog imaging, holography, and
interferometry. Analysis of physical and electronic transformations in imaging systems. Discussion of multiplex imaging and imaging transformations.
-
Light propagation in anisotropic crystals; second- and third-order nonlinear susceptibility and electro-optic effect; and discussion of the
relationship of these effects along with such applications as light modulation, harmonic generation, and optical parametric amplification
and oscillation.
-
Introduction of modern light microscopy technologies, including math basics, confocal microscopy, quantitative phase microscopy, optical coherence tomography, fluorescence microscopy, nonlinear microscopy, super-resolution microscopy, and more.
-
-
Wave kinematics; geometrical optics: basic concepts, ray-tracing and matrix formalism, Gaussian imaging by thick lenses, stops, and apertures, and intensity
relations; interference; interference spectroscopy and coherence; diffraction: Fresnel-Kirchhoff formulation, Fraunhofer case, Fresnel case, and
holography; polarized light. Lectures, laboratory, and problems.
Signal/Image Processing:
-
It is an introductory course on digital signal processing (DSP). It introduces a DSPconcept, such as convolution, Linear tine invariant (LTI) system, sampling theory, Fourier transform, Z-tranform, Design of FIR and IIR filter.
-
Development of real-time digital signal processing (DSP) systems using a DSP microprocessor. Several structured laboratory exercises, such as sampling and digital filtering, followed by an extensive DSP project.
-
It covers basic acoustic properties such as acoustic wave propagation, attenuation and sources; Anatomical and Functional Imaging; Advanced ultrasound imaging and ultrasound computed tomography.
-
Rigorous presentation of key mathematical tools in a vector space framework, and their applications in signal processing, including: finite and infinite dimensional vector spaces, Hilbert spaces, linear operators, inverse problems (e.g. deconvolution, tomography, Fourier imaging), least-squares methods, conditioning and regularization, matrix decompositions, subspace methods, bases and frames for signal representation (e.g. generalized Fourier series, wavelets, splines), Hilbert space of random variables, random processes, signal and spectral estimation.
-
Examines fundamental concepts, techniques, and directions of research in image processing. Topics include two-dimensional Fourier transform and filtering, image digitization, coding, restoration, reconstruction, analysis, and recognition.
-
Basic concept review of digital signals and systems; computer-aided digital filter design, quantization effects, decimation and interpolation, and fast algorithms for convolution and the DFT; introduction to adaptive signal processing.
-
Multidimensional signals, convolution, transforms, sampling, and interpolation; design of two-dimensional digital filters; sensor array processing and range-doppler imaging; applications to synthetic aperture radar, optics, tomography, radio astronomy, and beam-forming sonar; image estimation from partial data.
-
Prerequisites: ECE 480 required. The course covers advanced topics in MRI: quantum-mechanical treatment of the NMR phenomenon, advanced data acquisition schemes, advanced image reconstruction algorithms, and application examples including spectroscopic imaging, diffusion imaging, functional imaging and molecular imaging. The course is intended for advanced graduate students.
Cellular and Biology/Medicine:
-
It is an introduction to biochemistry, a discipline devoted to understanding living systems in terms of chemical principles.
-
Introduction to the mechanics of biological cells and tissues: cell structure; mechanics of biomembranes; the cytoskeleton and cortex; dynamic cell processes; cell motility and control of cell shape.
Instructional Resources
