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APPLICATIONS OF MATHEMATICS TO MEDICINE

CODE 42916
ACADEMIC YEAR 2017/2018
CREDITS 7 credits during the 1st year of 9011 Mathematics (LM-40) GENOVA

6 credits during the 2nd year of 9014 Computer Science (LM-18) GENOVA

SCIENTIFIC DISCIPLINARY SECTOR MAT/08
LANGUAGE Italian (English on demand)
TEACHING LOCATION GENOVA (Mathematics)
SEMESTER 1° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

The credits for the course Application of Mathematics to Medicine (AMM, code 42916) are 7. The course is held during the first semester of the 1°, 2° LM years. On request of one student, the lectures and teaching activities will be delivered in English, otherwise in Italian.

AIMS AND CONTENT

LEARNING OUTCOMES

The course intends to describe the mathematical modeling of two very important tomographic problems in the medical field: X-ray tomography and microwave tomography. In both cases, the objective of the discussion is twofold: on the one hand, to emphasize how sophisticated mathematical formalisms are indispensable for the understanding of two problems of such great application value; On the other hand, provide students with the numeric tools needed to process the images from these capture modes.

AIMS AND LEARNING OUTCOMES

This course aims to describe the mathematical modeling of three medical imaging problems: the X-ray tomography, the Positron Emission Tomography and the Magnetic Resonance Imaging. The scope of the course is two-fold: on one hand, we want to highlight how sophisticated mathematics is needed for the comprehension of problems with high practical significance; on the other hand, we want to equip the students with the numerical analysis tools required for the processing of the data acquired with these three modalities.

TEACHING METHODS

Traditional lectures. Six lab lessons are planned

SYLLABUS/CONTENT

Part I: X-ray tomography (overview); Radon transform, formulas for the inversion of the Radon transform (as back projection and filtered back projection), issues of uniqueness.

Part II: positron emission tomography (overview); on the two inverse problems related to positron emission tomography: an imaging problem (inversion of the Radon transform) and a compartment alone (Gauss-Newton optimization scheme)

Part III: magnetic resonance imaging (overview); models for data acquisition and magnetic field distortion, Fourier transform, inversion of the Fourier transform from undersampled data.

RECOMMENDED READING/BIBLIOGRAPHY

Professor’s lecture notes

TEACHERS AND EXAM BOARD

Exam Board

MICHELE PIANA (President)

FEDERICO BENVENUTO

Anna Maria MASSONE

LESSONS

TEACHING METHODS

Traditional lectures. Six lab lessons are planned

LESSONS START

The class will start according to the academic calendar.

EXAMS

EXAM DESCRIPTION

Oral Exam

Exam schedule

Date Time Location Type Notes
16/02/2018 09:00 GENOVA Esame su appuntamento
27/07/2018 09:00 GENOVA Esame su appuntamento
21/09/2018 09:00 GENOVA Esame su appuntamento
28/02/2019 09:00 GENOVA Esame su appuntamento

FURTHER INFORMATION

The prerequisites are: Hilbert spaces, continuous linear operators between Hilbert spaces, Fourier analysis