The latest STIMULATE forum took place on september 25th with three presentations.
Prabal Poudel presented "Ultrasound thyroid tissue classification using a simple texture pattern characterization". Segmentation and volume computation of thyroid Ultrasound (US) images are essential for diagnosis of thyroid diseases as they involve the change in shape and size of thyroid over time. In this work a simple texture pattern similarity characterization for thyroid echogenicity matching is proposed. Results show that the similarity characterization is suitable for differentiating thyroid echogenicity from the rest of the US image and can be used as a strong feature for segmenting thyroid using classification methods.
The second referee Nazila Saeidnezhad gave a talk about "Calibration and image quality assessment of a new robot-driven CT geometry". A novel fourth generation micro-CT (WATCH CT) with a unique scanning geometry, that collects parallel projections from a standard x-ray source without the requirement to interpolate or rebin the data, is studied and evaluated for its imaging qualities and performance characteristics. For a comparative analysis of the WATCH micro-CT system and the conventional CT geometry, the local noise power spectrum and the modulation transfer function is derived from the same initial parameters. The spatial resolution (MTF), characterized by the response of the system, is determined by MTF based oversampling method due to a relatively higher noise content displayed by all micro-CT systems. The calculations involve varying the parameters like the region of evaluation (ROE) position, FOV magnification, angular sampling, pixel size, filtration and reconstruction algorithm to provide an extensive analogy between these systems. The MTF curves illustrate a higher relative resolving capacity for the WATCH micro-CT compared to the conventional geometries. The NPS curves of WATCH geometry shows higher noise content in comparison to the conventional geometry.
Dr. Marcus Schmidt presented the last theme "Artifact correction of CT data for industrial CT". The research campus STIMULATE and NetCo from Blankenburg are currently applying for an ERDF project in which new algorithms for CT image reconstruction and analysis for industrial CT are being developed. The focus here is on the artefact-free reconstruction of CT images using the lowest possible radiation dose and the smallest possible number of projections. The associated reduction in tube power can increase the service life of the X-ray tube and thus save costs for the user.
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