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1
Content available remote A cross-staged gantry for total-body PET and CT imaging
EN
Total-body Positron Emission Tomography (PET) scanning is a promising new method for rapidly acquiring comprehensive wide-volume metabolic data with a lower radiation dosage compared to discrete whole-body PET imaging. PET scanners are generally used with Computed Tomography (CT) scanners to precisely understand tumor location and composition with the help of anatomical images. However, PET/CT sequential imaging methods for simultaneous total-body imaging are impractical for claustrophobic patients due to the enclosed gantry design and require large examination rooms because of the need for an exceptionally long patient table. To address this challenge, the Jagiellonian-PET Tomography (J-PET) Total-body scanner employs an innovative approach: utilizing both PET and CT devices on the same patient table but from different axes. The motion system of the J-PET Total Body scanner requires custom linear stages to move both PET and CT gantries. In this study, a novel cross-staged linear guiding solution is proposed by combining scanners on intersecting separable stages. The proposed sliding system is a combination of different machine elements and will be produced for the J-PET Total-body PET/CT Scanner. Concept designs are shown, and the proposed system is described. The application of the system for the J-PET total-body PET/CT scanner is discussed. The proposed solution is still in the development phase. The system holds the potential to achieve combining CT and PET scanners from different axes and enables motion artifact-free imaging for total-body imaging.
EN
Medical segmentation metrics are crucial for development of correct segmentation algorithms in medical imaging domain. In case of three dimensional large arrays representing studies like CT, PET/CT or MRI of critical importance is availability of library implementing high performance metrics. MedEval3D is created in order to fulfill this need thanks to implementation of CUDA acceleration. Most of implemented metrics like Dice coefficient, Jacard coefficient etc. are based on confusion matrix, what enable effective reuse of calculations across multiple metrics improving performance in such use case. Additionally algorithms like interclass correlation and Mahalanobis distance are also introduced. In both cases their implementations are significantly faster then their counterparts from other available libraries. Lastly programming interface to all of the metrics was created in Julia programming language.
EN
MedEye3d is a Julia language package designed to simplify visualizations of segmentation in three dimensional setting. Motivation to develop this application was to provide to rapidly growing Julia language scientific community tool for research in three dimensional medical images. Package is based on multiple open source software packages, yet most prominent is utilization of OpenGl specification to enable GPU acceleration. Application was tested both on Linux and Windows platforms and in both cases latency observed by the user in most common interaction like scrolling, annotation and change of displayed plane was very small. Thanks to utilization of many modern packages and methodologies developed package is providing convenient visualization in rapid prototyping with medical image segmentation algorithms. Application also is easily extendable and will be included in medical image segmentation framework that is currently in development.
4
Content available remote History of positron emission tomography (PET) in Poland
EN
In this short chronological review, we showed the development of positron emission tomography (PET) starting from research on first isotopes through the concepts and prototype of PET machine to the current clinical practice and technological and clinical research. Particular emphasis was placed on a clear description of the milestones of PET development in Poland.
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