Identification and Validation of Biomarkers in Medical Imaging

Recommended Prerequisites

The student must master some basic principles in image processing

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 using MATLAB or R.

Learning Outcomes

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

Work Placement(s)

No

Syllabus

The primary mission is to provide students with advanced research and data analysis fundamentals in the field of medical imaging. It aims at the use of integrated multimodal image information and new computational tools. The problem of multiple comparisons applied to complex data volumes, such as those of imaging, will be of particular importance. Notion of the problem of co-registration: Multimodal image of the retina and the brain: examples of how advanced tools can contribute to support diagnosis and clinical decision. Validation of new biomarkers

Head Lecturer(s)

Miguel Sá Sousa Castelo Branco

Assessment Methods

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

Bibliography

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)

Online tutorials

Principles of fMRI

Tor D. Wager and Martin A. Lindquist 2015 Leanpub

MATLAB for Neuroscientists: Pascal Wallisch, Michael Lusignan, Marc Benayoun, Tanya I. Baker, Adam S. Dickey and Nicholas G. Hatsopoulos

ISBN: 978-0-12-374551-4 Academic Press

Published Date: 1st November 2013

Guide to Medical Image Analysis

Methods and AlgorithmAuthors: Klaus D. Toennies

ISBN: 978-1-4471-2750-5 (Print) 978-1-4471-2751-2 (Online)

Springer