The Student Conference on Medical Engineering Science is an annual event at the BioMedTec Science Campus Luebeck. The Student Congress is organized by the University of Lübeck and supported by NORGENTA, the life science cluster agency in north Germany. Master students of programs related to medical engineering science present results of their recent research projects.
Die Studierendentagung Medizintechnik findet jährlich auf dem BioMedTec Wissenschaftscampus Lübeck statt. Der Kongress wird von der Universität zu Lübeck organisiert und von der norddeutschen Life-Science-Clusteragentur NORGENTA unterstützt. Studierende in Masterprogrammen der Medizintechnik und der Lebenswissenschaften präsentieren die Ergebnisse ihrer jüngsten Forschungsprojekte.
Table of Contents
1 Biomedical Engineering I
Development of a program to analyse and visualize ciliary beat frequency ex vivo
Plug-in LED lighting for ureteroscopes
CE certification of TTI Imaging
EMG-based estimation of wrist kinematics using Fisher‘s linear discriminant analysis
Material compatibility with different sterilization procedures
2 Biomedical Engineering II
Electrical Impedance Tomography Image Reconstruction with EIDORS
Development and implementation of a method for producing directional solidified, electrospun hybrid structures as nerve guidance channels
Spectral light modulation using a digital micromirror device (DMD) for the calibration of pulse oximetry sensors
Multi-frequency Electrical Impedance Tomography for irreversible Electroporation
Filtering cardiac artefacts from transdiaphragmal pressure for the validation of a non-invasive method to assess work of breathing
3 X-Ray and Computed Tomography
Emissivity factor comparison of different coatings for medical x-ray tube housings
Models for osteoarthritis assessment from digital x-ray images of the lower extremity
Phantom-based Determination of Noise Distribution in Computed Tomography
Construction and Calibration of a Micro-CT Phantom for the Determination of Iron Oxide Concentrations in Ferrofluids
4 Magnetic Particle Imaging
Localization of small ferromagnetic samples in a magnetic particle imaging scanner
3-Dimensional FFP-MPI-Scanner Simulation using X-Space Theory
Realistic Simulation of a Movable and Rotatable Field-Free Line in Magnetic Particle Imaging
5 Magnetic Resonance Imaging
Flexible Probe Positioning for Workbench Measurements on MRI Coils
Curved saturation for spine imaging in magnetic resonance imaging
Visualization of tumor tissue in the peripheral zone of the prostate using multi-parametric MR images
Rotation estimation in k-space for different trajectories
6 Biomedical Optics
Development of a Novel Fractional Laser Device Utilizing a Tunable Cr2+:ZnSe Infrared Laser
Full range Fourier domain optical coherence tomography via piezo-driven reference mirror
Resection of human calcified aortic heart valves in vitro by using a Thulium laser
Determining the accuracy and repeatability of a multidimensional eye tracker designed for laser refractive surgery
7 Medical Image Computing
Visualization of self-expanding stent systems and reject minimization
Preprocessing of Spectral Retinal Images for Registration
Application of Machine Learning Regression Techniques on Predicting Clinical Outcome in Primary Progressive Multiple Sclerosis
Mathematical modelling of breast tumour growth and treatment
Camera and tracking system calibration for image guided bronchoscopy
Research Objectives and Topics
This conference proceedings publication compiles interdisciplinary research results from the BioMedTec Science Campus, focusing on advancing medical engineering technologies through novel methodologies and experimental validation.
- Medical Imaging and Tomography (EIT, CT, MRI, MPI)
- Laser-tissue interaction and fractional laser therapy
- Clinical outcome prediction using machine learning
- Material science in medical device sterilization
- Technological advancements in endoscopes and surgical robotics
Auszug aus dem Buch
Development of a program to analyse and visualize ciliary beat frequency ex vivo
A main topic in lung research is to understand the mechanisms that continuously clean the airways from inhaled particles by transport of mucus. This transport is maintained by the continuous beating of cilia that are present on airway epithelial cells. To date, the beat frequency of individual ciliated cells is measured as an indicator of mechanical clearance activity. However, the present frequency analysis was, due to many constraints, very time consuming, inflexible, limited in features and very error prone. The main task of this work was the improvement of the analysis tools to analyze ciliary beat frequency. This was performed by the development of an encapsulated program environment, which was implemented with Matlab (The MathWorks, Inc.). The new program improved the analysis of ciliary beat frequency of individual cells but also generated a tool that allows to visualize the changes in ciliary beat frequency of all cells present in the microscope field of view opening up new possibilities for analysis.
Summary of Chapters
1 Biomedical Engineering I: Focuses on enhancing analysis for lung research, medical device sterilization compatibility, and electromyography-based control for prosthetic devices.
2 Biomedical Engineering II: Explores Electrical Impedance Tomography applications, electrospun hybrid structures for nerve repair, and validation of breathing assessment techniques.
3 X-Ray and Computed Tomography: Investigates emissivity of x-ray tube coatings, osteoarthritis assessment via x-ray imaging, and noise modeling in CT scanners.
4 Magnetic Particle Imaging: Details localization methods for ferromagnetic samples and scanner design simulations using x-space theory.
5 Magnetic Resonance Imaging: Covers advancements in robotic positioning for MRI coil measurements, curved saturation pulses, and tumor visualization techniques.
6 Biomedical Optics: Presents studies on fractional lasers, full-range optical coherence tomography, and laser-assisted resection of heart valves.
7 Medical Image Computing: Discusses stent system visualization, retinal image preprocessing, clinical outcome prediction using machine learning, and calibration for bronchoscopy.
Keywords
Biomedical Engineering, Medical Imaging, Computed Tomography, Magnetic Resonance Imaging, Magnetic Particle Imaging, Electrical Impedance Tomography, Fractional Laser, Ciliary Beat Frequency, Stent Visualization, Machine Learning, Clinical Outcome Prediction, Retinal Registration, Sterilization Compatibility, Bronchoscopy Calibration.
Frequently Asked Questions
What is the primary focus of this publication?
This publication documents various student research projects in medical engineering, specifically addressing challenges in imaging, diagnostic techniques, and clinical outcome prediction within the healthcare technology sector.
What central thematic fields are covered?
The core themes include biomedical imaging modalities (EIT, CT, MRI, MPI), laser technology, signal processing in medical diagnosis, material science for sterilization, and computational models for tissue growth.
What is the primary research goal of these studies?
The goal is to improve existing medical engineering methods, increase diagnostic accuracy, and develop new algorithmic approaches that address clinical limitations such as noise, motion artifacts, or the need for more efficient surgical procedures.
Which scientific methods are primarily employed?
The researchers utilize a variety of methods, including mathematical modeling (e.g., differential equations), machine learning (Gaussian processes, support vector regression), signal analysis (Fourier transforms), and computational simulations (Finite Element Method).
What does the main body of the work address?
The main sections systematically cover advancements across specialized medical subfields, ranging from technical hardware improvements like LED-based endoscope lighting to complex software-based clinical decision support systems.
Which keywords characterize the research?
Key terms include Biomedical Engineering, Tomography, Machine Learning, Signal Analysis, and various clinical diagnostics tools tailored for improving patient outcomes.
How is the emissivity of x-ray tube housing coatings determined?
The research develops an experimental setup using an ultrahigh vacuum chamber where a housing sample is exposed to a high-temperature cathode, allowing temperature measurements that serve as the base for computational simulation of emissivity.
What is the approach to filtering cardiac artifacts in respiration measurements?
The researchers use a digital band rejection filter—specifically a combination of a high-pass and low-pass Butterworth filter—to mitigate cardiogenic oscillations that interfere with transdiaphragmal pressure signals.
- Citar trabajo
- T. M. Buzug et al. (Autor), 2012, Student Conference Medical Engineering Science 2012, Múnich, GRIN Verlag, https://www.grin.com/document/200266
