Checking date: 05/05/2025 17:23:42


Course: 2025/2026

3D analysis of medical images
(20077)
Master in Biomechanical Engineering and Medical Devices (Plan: 545 - Estudio: 409)
EPI


Coordinating teacher: IZQUIERDO GARCÍA, DAVID

Department assigned to the subject: Bioengineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Courses corresponding to the profiles from: Biomedical Engineering, Mechanical Engineering or Industrial Engineering
Objectives
By the end of the course, students would be able to: - Understand medical image analysis techniques and their applications to the 3D modeling of anatomical structures. - Know the positioning and registering systems for medical imaging. - Apply data analysis methods to medical imaging studies to obtain 3D models as well as the necessary quantitative measurements for the evaluation, diagnosis and medical treatment. - Analyze medical images and to generate personalized models from the classical diagnostic models
Learning Outcomes
Description of contents: programme
1.- Medical imaging modalities: radiography, computed tomography, magnetic resonance imaging, nuclear medicine, ultrasound, and their clinical applications. 2.- Medical image analysis: resolution, contrast, filtering, geometric transformations, 3.- Advanced medical image analysis: segmentation, registration, machine learning, shape estadistical models. 4.- 3D modeling of anatomical structures, volumetric reconstructions.
Learning activities and methodology
Theory and theoretical-practical classes with exercises will be given to the students in the classroom, where the teacher will expose the majority of the subject's content. Student participation in classes will be encouraged through quizzes, assessments and presentations. Practical sessions and individual or group assessments will be carried out in the classroom or in the laboratory spaces from the biomedical engineering department. Partial exams will be carried throughout the academic term as part of the continued evaluation. Through Aula Global (AG), students will be informed of the specific scheduling of tutoring in order to solve potential doubts and concerns of the students regarding the content being presented in classes.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100

Calendar of Continuous assessment


Basic Bibliography
  • Alejandro Frangi. Medical Image Analysis. Academic Press. 2023
  • G. Dougherty. Digital Image Processing for Medical Applications. Cambridge Univ Press. 2009
  • McRobbie, Moore, Graves and Prince. MRI From Picture to Proton. Cambridge University Press. 2017
  • Michael E. Phelps. PET Molecular Imaging and Its Biological Applications. Springer. 2004
Additional Bibliography
  • Bailey, Townsend, Valk and Maisey . Positron Emission Tomography: Basic Sciences. Springer. 2003
  • Hendee, Ritenour. Medical Imaging Physics. Wiley. 2002
  • Toennies, K.D. Guide to Medical Image Analysis (Methods and Algorithms). Springer. 2017
  • van Drongelen. Signal Processing for Neuroscientists. Academic press. 2018

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