## BMP 212: Biomedical Signals II (RAD 212)

This course examines the stochastic nature of biomedical signals and systems and introduces concepts from statistical signal processing to characterize and account for noise in signals and images. Students will learn about random variables, random processes, estimation theory, and image quality. Examples will be drawn from medical imaging modalities such as x-ray, CT, ultrasound, and MR to demonstrate how noise can be modeled and how information is extracted from noisy signals.

Terms: Win
| Units: 3

Instructors:
Dahl, J. (PI)
;
Wang, A. (PI)

## BMP 220: Introduction to Imaging and Image-based Human Anatomy (BIOE 220, RAD 220)

Focus on learning the fundamentals of each imaging modality including X-ray Imaging, Ultrasound, CT, and MRI, to learn normal human anatomy and how it appears on medical images, to learn the relative strengths of the modalities, and to answer, "What am I looking at?" Course website:
http://bioe220.stanford.edu

Terms: Win
| Units: 3

## BMP 224: Probes and Applications for Multi-modality Molecular Imaging of Living Subjects (BIOE 224, RAD 224)

We will focus on design, development, and application of imaging agents that target specific cellular and molecular aspects of disease. Covers the strengths and limitations of different imaging agents and how to optimize their design for image-guided intra-operative procedures, brain imaging, probing infection, or interrogating tumor metabolism. Emphasis this year will be on clinical molecular imaging, state-of-the-art strategies for early detection of dementia, imaging response to cancer immunotherapy, and how 'Deep Learning' can be used for probe design and high-throughput automated image analysis.

Terms: Win
| Units: 3
| Repeatable
2 times
(up to 8 units total)

Instructors:
Alam, I. (PI)
;
Beinat, C. (PI)
;
James, M. (PI)
;
Moseley, M. (PI)
;
De Sota, R. (TA)
;
Kare, A. (TA)

## BMP 269B: Medical Imaging Systems II (EE 369B)

Imaging internal structures within the body using magnetic resonance studied from a systems viewpoint. Analysis of magnetic resonance imaging systems including physics, Fourier properties of image formation, effects of system imperfections, image contrast, and noise. Pre- or corequisite:
EE 261 or equivalent

Terms: Win
| Units: 3

Instructors:
Pauly, J. (PI)
;
Setsompop, K. (PI)

## BMP 399: Graduate Research

Students undertake investigations sponsored by individual faculty members. Prerequisite: consent of instructor.

Terms: Win, Spr, Sum
| Units: 1-18
| Repeatable
for credit
(up to 99 units total)

Instructors:
Beinat, C. (PI)
;
Ennis, D. (PI)
;
Ferrara, K. (PI)
;
Graves, E. (PI)
;
Gu, X. (PI)
;
James, M. (PI)
;
Kogan, F. (PI)
;
Levin, C. (PI)
;
Li, R. (PI)
;
Liu, W. (PI)
;
Pitteri, S. (PI)
;
Pratx, G. (PI)
;
Rao, J. (PI)
;
Setsompop, K. (PI)
;
Spielman, D. (PI)
;
Wang, A. (PI)
;
Xing, L. (PI)
;
de la Zerda, A. (PI)