All students must validate 30 ECTS per semester.We offer two speciality tracks:

Track 1: Vision and Applications
The first track focuses on various applications of computer vision: biomedical applications, people detection, object tracking, computational photography.

Track 2: Vision and devices
The second track focuses on devices to capture images (intelligent sensors, medical imaging systems) and to visualise and interact with them (augmented reality)




Course name: Tomography and 3D Imaging applied to Biomedical Samples Credits: 6

  • Class type: Theory+Practice
  • Hours per week: 2+1
  • Type of the exam: 50% Lab assigments, 50% theory exam


This course introduces basic biomedical imaging methods that from a set of 2D images are able to produce a 3D reconstruction. We will explore computed tomography (CT), positron emission tomography (PET) and electron and confocal microscopies. Students will gain understanding in the basic physics of image acquisition and the algorithms required for image processing. Basic image enhancement and image analysis will be presented in the context of tomographic imaging and microscopy.

UNIT I: Theoretical Basis to tomography:

  • Concept of projection: Radon Transform
  • The Fourier Slice Theorem
  • Image Reconstruction in real space: Filtered Back Projection, ART
  • Image Reconstruction in Fourier space: Fourier interpolation
  • Image Reconstruction using  back-projection

UNIT II: Computer tomography.

  • Principles of Computer tomography
  • Photon interaction with matter
  • Applications of CT

UNIT III: Positron Emission Tomography (PET)

  • Physical  principles of PET
  • PET Image Formation and Processing
  • Applications of PET

UNIT IV: Transmission Electron Microscopy (TEM)

  • Physical  principles of TEM
  • TEM Image Formation and Processing
  • Applications of TEM

Recommended reading:

  • Prince &Links, Medical Imaging, Signals and Systems, Pearson Prentice Hall, 2006
  • Andrew Webb, Introduction to biomedical Imaging, IEEE Press, 2003
  • Gonzalez & Woods, Digital Image Processing, Prentice Hall, 2003
  • Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1988
  • Lecturer (name, position, degree): Roberto Marabini, Ph.D., Associate Professor

The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken abroad by mobile students through the transfer credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.