Guia docente 2023_24 Escuela de Ingeniería Industrial

Contents

Topic	Sub-topic
Medical imaging fundamentals.	- Ultrasound (ultrasound), digital radiography, computed tomography, magnetic resonance, PET. - Medical image formats (and medical information standards): DICOM, HL7.
Medical images processing.	- Image transforms: 2D Fourier transform (application in MRI), Radon transform (application in CT). - Filtering and restoration of images. - Segmentation methods and application of unsupervised learning techniques (machine learning). - Other processing techniques.
Practical contents.	- Working with free tools for visualization (using real medical studies). Examples: MicroDicom, Invesalius, 3D-slicer. - Practical case 1: small image processing project using classical techniques. Examples: digitalization of scanned ECG's, compression of 3D medical studies using 3D-DCT... - Practical case 2: small image processing project using machine learning (ML) techniques. Examples: help in the diagnosis of breast cancer in mammograohies using CNN's (deep learning), detection of pneumonia in digital chest X-rays.