Bjoern Menze (TUM), Kuangyu Shi (TUM Klinikum Rechts der Isar), Jonathan Sperl (GE), Michael Kelm (Siemens), Markus Kowarschik (Siemens), Alexander Valentinitsch (TUM Klinikum Rechts der Isar)
Type: Master Seminar Module IN2107
SWS: 2+0
ECTS: 4 Credits
Location: IMETUM Seminar Room (1st Floor)
Time: Wednesday 1500-1700
Course Language: English
Many clinical imaging sequences include image modalities that provide unique insights into the human body: describing blood flow pattern or water diffusion, visualizing micro-structural tissue properties, or quantifying metabolic processes that have been found to be relevant for specific diseases. To access and explore the rich biological information of such multimodal CT, PET, and MR image data sets, different approaches from biophysical modeling and computational physiology are used.
The topic of this seminar is to survey such computational models by reading, discussing and understanding key publications in this field, for example, on:
Emphasis is put on improving presentation style. All presenters will present their talk twice during the course of the semester, and after the first time the group discussion will focus on presentation style.
Each presentation is followed by a discussion and everyone is encouraged to actively participate. The handout must include all references used and should be your own review of the paper (don't copy & paste). Both handout and presentation will have to be in English. It can follow the structure of the presentation: Intro (incl. statement of the problem, prior work, contribution of the present work), Methods (previously existing and improvements), Experiments (data and results), Conclusion / Summary.
The seminar consists of an introductory meeting and seminar sessions. Each of the sessions will consist of several student presentations. All seminar participants are expected to be present at every session and to actively participate in the discussion.
The papers that we are going to discuss in the seminar belong to four different research areas:
Area ![]() | Description |
---|---|
Global processes | Global probabilistic models that relate image features with global clinical information or global genetic variables. |
Spatial Maps and Structures | Spatial atlases and parametric maps that encode the variation of anatomy throughout the population in a probabilistic fashion. |
Spatio-temporal processes & signals | Spatio-temporal models that describe spatially coupled time signal models, tumor growth, model personalisation. |
Time series & signal models | Dynamical models that describe blood flow patterns in MR and CT, or the dynamics of metabolic pathways as measured via PET, or the signals of short term water diffusion. |
In order to express your preferences about the topic you would like to discuss in your presentation and essay, please send an email to Bjoern Menze indicating the two papers your are most interested in. We will discuss the assignments in the meeting on April 9th.
A lot of scientific publications can be found online.
The following list may help you to find some further information on your particular topic:
Some publishers:
Libraries (online and offline):
Some further hints for working with references:
If you find useful resources that are not already listed here, please tell us, so we can add them for others. Thanks.
TeachingForm | |
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Title: | Image-Based Biomedical Modeling |
Professor: | Prof. Bjoern Menze |
Tutors: | |
Type: | Hauptseminar |
Information: | Hauptseminar, SWS: 2, ECTS: 4 |
Term: | 2015WiSe |
Abstract: |