MULTIMODAL BIOMEDICAL IMAGES
Stampa
Enrollment year
2020/2021
Academic year
2020/2021
Regulations
DM270
Academic discipline
ING-INF/06 (ELECTRONIC AND INFORMATION BIOENGINEERING)
Department
DEPARTMENT OF ELECTRICAL,COMPUTER AND BIOMEDICAL ENGINEERING
Course
BIOENGINEERING
Curriculum
Sensoristica e strumentazione biomedica
Year of study
Period
2nd semester (08/03/2021 - 14/06/2021)
ECTS
6
Lesson hours
50 lesson hours
Language
Italian
Activity type
WRITTEN AND ORAL TEST
Teacher
MAGENES GIOVANNI (titolare) - 6 ECTS
Prerequisites
The topics of this course will be developed starting from the hypothesis that the student already knows some basics of image processing. However the teacher usually makes a 4 hours summary of the basic tools already presented in the Course of Biomedical Signal and Image Processing, belonging to the third year of the Laurea track in Bioengineering.
Learning outcomes
The integration of multimodal images and 3D reconstruction in medicine are assuming increasing importance not only for diagnostic purposes, but also for the design of prosthetic, therapeutic devices and for assisted surgery.
The goal of the course is to give students some methods for the co-registration of multiple images, for reconstruction from different sources, for three-dimensional segmentation of organs, for modeling and visualization of surfaces and volumes, kinematic and dynamic measurements in sequences of images and for corrections due to the non linearity of the image production instrumentation.
Together with methodological tools, students can gain direct experience of 3D MRI images, from ultrasound, along with the ability to use advanced software tools.
Course contents
PROGRAM
Methods and techniques for the construction of images in medicine: X-rays, Ultrasounds, Nuclear Medicine
Characterization of tissues in MRI using advanced methods
fMRI and diffusion techniques
Recording and Coregistration - problems and methods
Segmentation of bioimages
2D methods
3D Methods
From segmentation to reconstruction of 2D and 3D models
Visual rendering
Measurements of kinematic and dynamic sequences of images
3D and 4D Ultrasound
Teaching methods
The course will consist of introductory methodological lessons of the argument, followed by examples and exercises "hands-on" developing Matlab scripts and using freeware software tools already installed on the workstations of the computer laboratory.
Reccomended or required readings
Recommended reading: slides of the lessons; review articles proposed by the teacher, specific scientific articles.
Book A.P. Dahwan "Medical Image Analysis", Second Edition, Wiley & Sons, 2011
Book "Computer Graphics - Principles and Practice - 3rd Edition" J. Hughes et al., Addison Wesley, 2014
Assessment methods
The final exam will consist of the discussion of an individual brief report on themethodologies and on the results obtained in the exercises done during the course and of an individual oral proof on the general topics of the course.
Further information
Sustainable development goals - Agenda 2030