Opportunities for students

Here we suggest several topics for pursuing Ph.D. studies in our laboratory. However, it is possible to work on Bachelor's and Master's theses as well! The list of topics is not limited, so in case of interest, please contact marie.novotna@ceitec.vutbr.cz.


Dual-energy nano computed tomography

Supervisor: prof. Ing. Jozef Kaiser, Ph.D.

Supervisor-specialist: Ing. Tomáš Zikmund, Ph.D.

Dual-energy computed tomography (DECT) is a modality that was formerly used only at synchrotron based facilities. Recently it has been used in medical sphere of computed tomography (CT) and nowadays potential of DECT has been tested on laboratory based CT system with high resolution. This technique uses two energetically different X-ray spectra for examination and specific differentiation of individual sample components, in terms of materials or tissues, based on their attenuation properties. This differentiation is feasible even for materials which would be inseparable in CT data from standard CT measurement using only one beam energy. Therefore, an advantage of DECT is a possibility of precise material segmentation and classification. Furthermore, acquired information from DECT measurement can be utilized for creating pseudo-monochromatic CT images which results in specific reduction of tomographic artifacts e.g. beam hardening. Aim of this thesis will be study of DECT technique and testing its potential and utilization in sphere of laboratory CT system with submicron spatial resolution.


Analysis of muscle-skeletal system by X-ray computed tomography

Supervisor: prof. Ing. Jozef Kaiser, Ph.D.

Supervisor-specialist: Ing. Tomáš Zikmund, Ph.D.

X-ray computed tomography (CT) is a non-destructive imaging method that provides high spatial resolution at sub-micron level and it allows to obtain three-dimensional (3D) information about various objects with the size ranging from sub-millimeter to several millimeters. Recent developments of this method have significantly advanced biological imaging. Evaluation of 3D models provides information about shapes, scales and geometry of variuos biological objects (vertebrate muscles and skeletal elements). In this work, new approaches in CT data processing will be studied with the aim of explanation of different processes in developmental biology.


X-ray computed tomography in dimensional metrology

Supervisor: prof. Ing. Jozef Kaiser, Ph.D.

Supervisor-specialist: Ing. Tomáš Zikmund, Ph.D.

Non-destructive imaging method of X-ray computed tomography (CT) is very suitable for dimensional metrology. Through the development of standards it is also becoming accepted as a metrology tool. In comparison with conventional tactile and/or optical coordinate measuring machines (CMM), the CT advantage is analysis of outer and inner features of the sample. CT provides high information density and samples of any surface, shape or material can be measured (up to limit of density and thickness penetrable by X-rays). However CT measurement uncertainties caused by tomography artifacts or multimaterial samples still occur and reduce the measurement accuracy. The aim of this work is to develop practical solutions for CT measurement and the subsequent comparison of the proposed measument procedures with conventional methods of dimensinal metrology.


Evaluation of computed tomography data for biological structures analysis

Supervisor: prof. Ing. Jozef Kaiser, Ph.D.

Supervisor-specialist: Ing. Tomáš Zikmund, Ph.D.

Modern biology requires both qualitative and quantitative 3D information about the studied objects, which is not provided by conventional 2D imaging methods. In addition, the complexity of biological structures often requires a comprehensive approach to compare shapes, sizes and volumes. Application of 3D imaging method of X-ray computed tomography (CT) enables to visualise samples with a high-resolution, typically down to 1 μm3 spatial voxel resolution. It allows to obtain 3D information about a large variety of tissues, including internal structures in the whole body context non-destructively. The most imprortant step in CT analysis is data processing. In this work, new approaches in CT data processing will be realised in the scope of biological sample analysis. 


Combination of spectroscopic and tomographic data to obtain 3D chemical imaging

Supervisor: prof. Ing. Jozef Kaiser, Ph.D.

Supervisor-specialist: Ing. Tomáš Zikmund, Ph.D.

Investigation of a sample gives only limited information when observed independently using different techniques. In order to improve the awareness of individual sample features it is beneficial to combine more techniques in a complementary analysis. We propose to provide chemical and structural analysis using laser-based spectroscopic and computed tomography techniques, respectively. Feasibility experiments shown a great potential in the combination of the Laser-Induced Breakdown Spectroscopy and micro X-Ray Computed Tomography techniques. In this work, the design of experiment has to be optimized to overcome obstacles in analysis given by both techniques. Another challenge lies in the processing and combination of obtained large scale data sets involving redundant and corrupted information. This thesis will build up a cornerstone of novel analytical approach.