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Bandi P.,Mediso Medical Imaging Systems Ltd.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011

The current paper proposes a novel automated patient couch removal method on Computed Tomography (CT) images. Patient couch is often considered to be an unnecessary artifact especially when 3D rendered techniques are used. The method is based on measuring similarity between selected axial slices and the assumption that the bed object is constant on different slices. Due to the weight of the patient the couch could bend which is identifiable as sagittal movement on consecutive axial slices. Therefore the method focuses on finding this movement after an initial segmentation. According to initial validation performed on real medical data, our method is an effective tool to remove patient couch without user interaction. Source


Papp L.,Mediso Medical Imaging Systems Ltd.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011

An extended registration model is presented to register medical image triples acquired for brain dopamine receptor scintigraphies. The model operates with rigid and nonlinear transformations in parallel, where all transformation parameters are optimized by one optimization method. The concept of the transformation-sampling-similarity measurement minimizes the memory usage of a real implementation. A partial-fine sampling method is proposed to decrease the processing time of the registration. Real medical data was collected to compare our method with well-known prior ones. The first tests show that the model outperforms the classic registration methods in both speed and accuracy. Source


Nagy K.L.,Budapest University of Technology and Economics | Nagy K.L.,Hungarian Academy of Sciences | Nagy K.L.,Mediso Medical Imaging Systems Ltd. | Quintavalle D.,Budapest University of Technology and Economics | And 6 more authors.
Applied Magnetic Resonance | Year: 2011

We describe a multifrequency quasi-optical electron spin resonance (ESR) spectrometer operating in the 75-225 GHz range and optimized at 222.4 GHz for general use in condensed matter physics and chemistry. The quasi-optical bridge detects the change of millimeter wave polarization at the ESR condition. A controllable reference arm maintains a millimeter wave bias at the detector. The sensitivity of 2 × 1010 spin/(G Hz0.5), measured on a dilute Mn:MgO sample in a non-resonant probe head at 222.4 GHz and 300 K, is comparable to that of commercial high-sensitive X-band spectrometers. The spectrometer is robust, easy to use and may be operated by undergraduate students. Its performance is demonstrated by examples from various fields of condensed matter physics. © 2010 Springer-Verlag. Source


Zsoter N.,Mediso Medical Imaging Systems Ltd.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011

An extended registration framework is presented to accurately register follow-up PET-CT study triples. Since there are six images to register, sophisticated feature extraction and similarity measurement methods are proposed. An irregular sampling method is introduced to decrease the processing speed of the hextuple registration. The similarity measurement is based on a normalized hybrid extended SSD (Sum of Squared Differences) and and extended NMI (Normalized mutual Information). The method has been tested on a huge amount of simulated data to avoid observer specific results. Based on the validation, our method outperforms prior solutions in both speed and accuracy, hence it should be the subject of further investigations. Source


Papp L.,Mediso Medical Imaging Systems Ltd.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference | Year: 2011

We present a novel detection and classification method to process SPECT-CT images representing breast and prostate lymph nodes. Lymph nodes are those nodes that are near the primer tumor and may become cancerous in time, hence their early detection is a key factor for the successful treatment of the patient. Prior methods focus on the visual aid to manually detect the lymph nodes which still makes the process time-consuming. Other solutions segment the lymph nodes only on CT, where the small lymph nodes may not be located accurately. Our solution processed both SPECT and CT data to provide an accurate classification of all SPECT hot spots. The method has been validated on a huge amount of medical data. Results show that our method is a very effective tool to support physicians working with related images in the field of nuclear medicine. Source

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