ENGR 4220 Biomedical Imaging

Biomedical imaging is a rapidly evolving and interdisciplinary field that plays a crucial role in diagnosis, treatment planning, and research. In this course, students will learn the fundamental principles underlying various biomedical imaging modalities such as optical imaging, x-ray, computed tomography, magnetic resonance imaging (MRI), and ultrasound. Students will develop proficiency in image acquisition, processing, and interpretation techniques, including machine learning-based image analysis. We will investigate the latest advancements in imaging technologies and their potential impact on healthcare and medical research, and also explore ethical and safety considerations in biomedical imaging. Students will gain practical hands-on experience with imaging equipment and software through lab modules, case studies, and collaborative projects.

Course overview

Department
Engineering
School
MCAS
Credits
3
Level
Undergraduate
Offered
Every Spring

Catalog details

Prerequisites
MATH1101 or MATH1103 and ENGR2102 or PHYS2101 or PHYS2201

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.33 / 5 · Very Good
18 responses
Instructor rating
4.50 / 5 · Excellent
18 responses
Terms evaluated
1
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026Bryan Ranger4.34.54.64.74.74.64.74.44–6 hrs/week18 of 21

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Bryan Ranger
    Spring 2027, Spring 2026 · Official rating 4.50/5

Sections

  • Section 01
    Spring 2027 · Bryan Ranger · Hayden Hall Room 311 TuTh 10:30AM-11:45AM · Offered