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Chair for Medical Engineering

Medical Image Processing

Course given by
Dr.-Ing. Stefanie Dencks
Course number
141220
Language
German
Credit Points
5
Hours per week
4
Click here to go to

Moodle

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Contents

The fundamentals and special procedures of image processing are presented, which are used in particular for medical image data. However, many techniques are also used in other application fields such as industrial image processing.

The first section covers reception by the human visual system as well as introducing definitions and fundamentals for image processing (e.g., discretization, sampling theorem, global characteristics of images). The second section teaches the main operations in the spatial domain (histogram modulation, filtering morphological operations, geometric image operations, distance transform, …). The third section covers information extraction methods (segmentation, texture analysis, shape description). The fourth section focuses on classification and various machine learning methods (e.g., support vector machines, deep learning). The fifth section includes image restoration. In addition, an overview of image registration and 3D visualization is given.

Lectures

Room
ID 04/401
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Lesson begins
08:15
Lesson ends
09:45
First lesson is on
Tuesday, 09.04.2024

Excercises

Room
CIP-Pool 2
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Excercise begins
10:15
Excercise ends
11:45
First excercise is on
Tuesday, 09.04.2024

Exam

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Type of exam
Oral exam
Exam date
Individual Appointment
Duration of exam
30 minutes
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Registration for the exam
FlexNow
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Objectives

After successful completion of the module, students have knowledge of multidimensional digital signal processing. They know and understand the acquisition of multidimensional image data of the most important diagnostic imaging methods, can model these and derive consequences for their processing from this. Students are able to classify the different steps of image processing into abstract task categories (e.g. filtering, segmentation, classification), know selected procedures in detail, and are able to explain and apply them. The students are able to analyze a given image processing task and to develop and algorithmically implement a suitable solution. The methods are taught using medical image data as an example, but the students can also transfer the methods to other application areas. Through the exercises in small groups, partly on computers, the students are able to practically implement what they have learned in a team, to explain solution approaches and to present them.
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Requirements

none

Prior knowledge

Knowledge of systems theory, Fourier transform and signal processing equivalent to those taught as fundamentals in the lectures of the bachelor's degree program in electrical engineering and information technology. Basic knowledge of Matlab programming.

Literature

1. Leh­mann, Tho­mas, Ober­schelp, Wal­ter, Pe­li­kan, Erich “Bild­ver­ar­bei­tung für die Me­di­zin”, Sprin­ger, 1997

2. Cam­pi­si, Pa­tri­zio, Egia­za­ri­an, Karen “Blind Image De­con­vo­lu­ti­on. Theo­ry and Ap­p­li­ca­ti­ons”, CRC Press, 2007

3. Fi­scher, Max, Ha­be­rä­cker, Peter, Nischwitz, Al­fred “Com­pu­ter­gra­fik und Bild­ver­ar­bei­tung”, View­eg Ver­lag, 2007

4. Pratt, Wil­liam K. Pratt “Di­gi­tal Image Pro­ces­sing”, Wiley & Sons, 1978

5. Eddins, Steve L., Gon­zalez , Ra­fa­el C., Woods, Ri­chard E. “Di­gi­tal Image Pro­ces­sing Using MAT­LAB”, Gates­mark, 2009

6. Jähne, Bernd “Di­gi­ta­le Bild­ver­ar­bei­tung”, Sprin­ger, 2010

7. Wilt­gen, Marco “Di­gi­ta­le Bild­ver­ar­bei­tung in der Me­di­zin”, Shaker, 1999

8. Jain, Anil K. “Fun­da­men­tals of Di­gi­tal Image Pro­ces­sing”, Pren­ti­ce Hall, 1989

9. Asya­li, Musa Hakan, De­mir­ka­ya, Omer, Sahoo, Pra­s­an­na K. “Image Pro­ces­sing with MAT­LAB. Ap­lli­ca­ti­ons in Me­di­ci­ne and Bio­lo­gy”, CRC Press, 2009

10. Boyle, Roger, Hla­vac, Va­clav, Sonka, Milan “Image Pro­ces­sing, Ana­ly­sis, and Ma­chi­ne Vi­si­on”, Brooks Cole, 1999

11. Op­pelt, Ar­nulf “Ima­ging Sys­tems for Me­di­cal Dia­gnostics”, Pu­bli­cis Cor­po­ra­te Pu­blis­hing, 2005

12. Han­dels, Heinz “Me­di­zi­ni­sche Bild­ver­ar­bei­tung”, Teub­ner Ver­lag, 2000

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Miscellaneous

This course is organized via Moodle. The necessary information will be given in the first lecture.