Checking date: 06/05/2025 18:32:15


Course: 2025/2026

Medical treatment planning and evaluation
(20081)
Master in Biomechanical Engineering and Medical Devices (Plan: 545 - Estudio: 409)
EPI


Coordinating teacher: GARCIA SEVILLA, MONICA

Department assigned to the subject: Bioengineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Subjects corresponding to the profiles of Biomedical Engineering, Mechanical Engineering, or Industrial Engineering.
Objectives
In this course, students will learn about the algorithms, methods, and devices used in image-guided medical interventions¿such as positioning systems, motion-tracking systems, patient-to-image registration, 3-D printing, and augmented reality. Concepts are introduced theoretically and then applied in laboratory sessions to solve specific problems. The clinical use of these techniques will also be covered in areas like laparoscopic surgery, maxillofacial surgery, obstetrics, trauma care, and rehabilitation, along with their potential for clinical training and simulation. The course is primarily hands-on: students will demonstrate their knowledge through deliverables and presentations.
Learning Outcomes
Description of contents: programme
1. Surgical planning, navigation, and guidance: definitions and background 2. Tracking systems 3. Registration for surgical guidance: point-to-point, ICP, surface-based 4. Clinical applications 5. Virtual, mixed, and augmented reality for simulation, guidance, and treatment assessment 6. 3-D printing for personalized treatment
Learning activities and methodology
- Lecture - Practical class - Combined lecture-and-practical class - Laboratory sessions - Midterm and final exams - Individual student work - Group work METHODOLOGY: MD1: Lectures given by the instructor, supported by computer and audiovisual media, in which the course¿s key concepts are developed and bibliographic resources are provided to complement students¿ learning. MD2: Critical reading of texts recommended by the instructor. MD3: Solving practical cases, problems, and other exercises posed by the instructor, either individually or in groups. MD4: Classroom presentations and discussions¿moderated by the instructor¿on topics related to the course content, as well as on practical cases. MD5: Preparation of papers and reports, individually or in groups. Most sessions will follow a combined theory-and-practice format and will be complemented by hands-on assignments carried out individually or collaboratively. TUTORIAL SCHEDULE: Two hours per week will be set aside for tutorials, during which the instructor will be available in their office to meet with students.
Assessment System
  • % end-of-term-examination 30
  • % of continuous assessment (assigments, laboratory, practicals...) 70




Basic Bibliography
  • Terry Peters; Kevin Cleary . Image-Guided Interventions: Technology and Applications. Springer. 2008
Recursos electrónicosElectronic Resources *
Additional Bibliography
  • Alejandro Frangi. Medical Image Analysis. Academic Press. 2023
  • Yao Guo. Medical Robotics. Springer. 2023
(*) Access to some electronic resources may be restricted to members of the university community and require validation through Campus Global. If you try to connect from outside of the University you will need to set up a VPN


The course syllabus may change due academic events or other reasons.