Medical Imaging Biomarkers in Translational Research

Recommended Prerequisites

The student must master some basic principles in translational research.

Teaching Methods

Theoretical classes will include  a concise review of the material to be covered based on the literature and the experience of the Laboratories of the Faculty of Medicine and ICNAS. Pratical examples will be problem oriented.

Learning Outcomes

This course provides essential knowledge on experimental design and analysis using medical imaging and the implementation issues in terms of mechanisms of disease and evidence based medicine for biomarker discovery.

Work Placement(s)

No

Syllabus

Understanding at a conceptual level of statistical image analysis meth in terms of diagnostic classif performances and understandin gof mechanims of disease

How to process imaging data (measurements) 

Tools for Image reconstruct

Novel meth to solve probl in medical imaging. Quantitat analysis of functional magnetic resonance imaging, positron emission tomography

Image format, meth of analysis. Measures of qualitative performance in the context of clinical imaging. Algorithms fundamental to the construct of medical images via meth of computed tomography, magnetic resonance, PET and ultrasound. Meth for clinical data interpretat

Fundamental of modern medical functional imaging. Explorat of functional magnetic resonance imaging (fMRI), arterial spin labeling (ASL), and positron emission tomograp (PET). Statistical and digital signal processing meth specific for functional image analysis. Validation of diagnostic imaging biomarkers and relation to the understanding of disease mechanisms

Head Lecturer(s)

Miguel Sá Sousa Castelo Branco

Assessment Methods

Assessment
Discussion of scientific articles: 20.0%
Project: 30.0%
Exam: 50.0%

Bibliography

 

https://pt.coursera.org/learn/functional-mri

This online course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.

Principles of fMRI

Tor D. Wager and Martin A. Lindquist 2015 Leanpub

Johns Hopkins University, University of Colorado Boulder

 

Principles and Advanced Methods in Medical Imaging and Image Analysis

Edited by: Atam P Dhawan (New Jersey Institute of Technology, USA), H K Huang (University of Southern California, USA), Dae-Shik Kim (Boston University, USA) 2008  World Scientific Publishing; 2008, 868 pages ◦             

ISBN: 978-981-4476-06-5 (ebook)