Tomography and 3D Imaging applied to Biomedical Samples

Semester
Second semester: UAM, Madrid
Credit
6
Class Type
Practical, Theory
Type of the exam
50% Lab assignments, 50% theory exam
Lecturer
Roberto Marabini, Ph.D., Associate Professor
Hours per week
2+1

Content

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

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