16 research outputs found

    An editor for 3D medical volume images

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    An editor for 3D medical images is presented. It allows to visualise anatomical atlases as well as modality images. Objects are delineated slice by slice as a stack of contours edited on the basis of Catmull-Rom splines. The design concepts and the implementation of the editing features are discussed

    An approach for combining multiple descriptors for image classification

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    Recently, efficient image descriptors have shown promise for image classification tasks. Moreover, methods based on the combination of multiple image features provide better performance compared to methods based on a single feature. This work presents a simple and efficient approach for combining multiple image descriptors. We first employ a Naive-Bayes Nearest-Neighbor scheme to evaluate four widely used descriptors. For all features, a Image-to-Classa distances are directly computed without descriptor quantization. Since distances measured by different metrics can be of different nature and they may not be on the same numerical scale, a normalization step is essential to transform these distances into a common domain prior to combining them. Our experiments conducted on a challenging database indicate that z-score normalization followed by a simple sum of distances fusion technique can significantly improve the performance compared to applications in which individual features are used. It was also observed that our experimental results on the Caltech 101 dataset outperform other previous results.SCOPUS: cp.pinfo:eu-repo/semantics/publishe

    An ECG trigger module for the acquisition of cardiac MR Images

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    info:eu-repo/semantics/publishe

    Development and validation of an automated and marker-free CT-based spatial analysis method (CTSA) for assessment of femoral hip implant migration In vitro accuracy and precision comparable to that of radiostereometric analysis (RSA)

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    Background and purpose — We developed a marker-free automated CT-based spatial analysis (CTSA) method to detect stem-bone migration in consecutive CT datasets and assessed the accuracy and precision in vitro. Our aim was to demonstrate that in vitro accuracy and precision of CTSA is comparable to that of radiostereometric analysis (RSA). Material and methods — Stem and bone were segmented in 2 CT datasets and both were registered pairwise. The resulting rigid transformations were compared and transferred to an anatomically sound coordinate system, taking the stem as reference. This resulted in 3 translation parameters and 3 rotation parameters describing the relative amount of stem-bone displacement, and it allowed calculation of the point of maximal stem migration. Accuracy was evaluated in 39 comparisons by imposing known stem migration on a stem-bone model. Precision was estimated in 20 comparisons based on a zero-migration model, and in 5 patients without stem loosening. Results — Limits of the 95% tolerance intervals (TIs) for accuracy did not exceed 0.28 mm for translations and 0.20° for rotations (largest standard deviation of the signed error (SDSE): 0.081 mm and 0.057°). In vitro, limits of the 95% TI for precision in a clinically relevant setting (8 comparisons) were below 0.09 mm and 0.14° (largest SDSE: 0.012 mm and 0.020°). In patients, the precision was lower, but acceptable, and dependent on CT scan resolution. Interpretation — CTSA allows detection of stem-bone migration with an accuracy and precision comparable to that of RSA. It could be valuable for evaluation of subtle stem loosening in clinical practice

    Time-course of contrast enhancement in spleen and liver with Exia 160, Fenestra LC, and VC

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    Objective: The purpose of this study was to compare the time-course of contrast-enhancement in spleen and liver using Exia 160 in comparison with Fenestra LC and VC in healthy mice. Procedures: Healthy C57bl/6 mice were used in this study. Fenestra LC and VC was administered intravenously at a dose of 0.1 ml/20 g or 0.2 ml/20 g. Exia 160 at a dose of 0.05 ml/20 g or 0.1 ml/20 g. Each animal underwent a micro-CT scan before contrast injection (baseline) and immediately after contrast injection. Additional scans were performed at 1, 2, 3, 4, 24, and 48 h after contrast administration. The mice who received Exia 160 were also scanned after 15, 30, and 45 min. Results: The peak enhancement of Exia 160 occurred after 15 min for the spleen and after 30 min for the liver. Conclusions: Exia 160 allows rapid spleen and liver enhancement. The high iodine content results in small injection volumes

    A method to construct flat maps of the brain's surface and its application

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    SCOPUS: cp.jinfo:eu-repo/semantics/publishe
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