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Complex medical therapies can require a multitude of imaging modalities and are often supervised by a team with different medical backgrounds. This necessitates the conversion of medical data between technical systems and visualizations. In the case of stereotactic arrhythmia radioablation therapy (STAR-therapy) of the left ventricle, electroanatomical mapping, ultrasound (US) and computed tomography (CT) are the central imaging modalities that are needed for defining the target volume as well as for the examination and validation pre and post treatment. In the interest of developing a motion management system for STAR-therapy, a way to transfer information and visualizations between these modalities and to compare data from different patients is needed. For this purpose, we present a landmark-based approach for the generation of commonly used ultrasound views and the 17-segment model from cardiac computed tomography (CCT) data. The developed tool can already be used to aid the examination process by extracting function-based views from CT datasets, comparing them to live US imaging, localize CT structures within the 17-segment model or to transfer information like motion or strain data from one modality to the other. In the future, it will be used in the development of a live or predictive management system for cardiac and respiratory motion.

In this paper, in order to reduce the probability of the radar waveform intercepted by the passive detection system, the time-bandwidth product of the radar waveform is increased, and the detection probability of the radar waveform to the target is improved. This paper tackles the holographic RF stealth radar and proposes a joint coding waveform based on the linear frequency modulation (LFM) waveform. Joint coding uses complementary codes to perform phase-coding, and combines the codewords optimized by genetic algorithm in order to perform discrete frequency-coding waveform. The joint coding waveform model is theoretically analyzed, and the ambiguity function, pulse compression and target detection probability of the joint coding waveform are obtained by numerical simulation. In addition, the complexity of the algorithm and the low probability of intercept (LPI) characteristic of the joint coding waveform are analyzed. The results show that the joint coding waveform has an approximate "pushpin" ambiguity function, ultra-low sidelobe characteristics, better RF stealth and target detection performance. Finally, it has good application prospects in the current battlefield environment. [ABSTRACT FROM AUTHOR]

Objective. To explore the effect of combined etomidate-ketamine anesthesia on perioperative electrocardiogram (ECG) and postoperative cognitive dysfunction (POCD) of elderly patients with rheumatic heart valve disease (RHVD) undergoing heart valve replacement. Methods. The data of 100 elderly RHVD patients treated in our hospital from May 2019 to May 2020 were selected for the retrospective analysis, and by adopting the double-blind method, the patients were divided into the ketamine group (n = 50) and the combined group (n = 50) according to the anesthesia methods. During the induction of anesthesia, the patients of the two groups were given a small dose of ketamine (0.5 mg/kg) at 5 μg/kg/min continuously via pump injection until the end of surgery, and on this basis, with the same anesthesia measures, those in the combined group were given etomidate (0.3 mg/kg) additionally. The patients' perioperative ECG indicators, POCD scores, and Numeric Rating Scale (NRS) scores were compared between the two groups. Results. Compared with the ketamine group, the combined group presented significantly lower incidence of ST-T wave changes after anesthesia induction and at the time of intubation and skin incision (P < 0.05), significantly lower average magnitude of ST-segment depression after anesthesia induction (P < 0.001), significantly lower average magnitude of ST-segment elevation after anesthesia induction and extubation (P < 0.001), significantly lower POCD incidence (6.%, P < 0.05), and significantly better NRS score after surgery (P < 0.001). Conclusion. Combined etomidate-ketamine anesthesia can stabilize the perioperative ECG indicators of elderly RHVD patients undergoing heart valve replacement, improve their postoperative cognitive function, and reduce their pain sensation, which should be promoted and applied in practice. [ABSTRACT FROM AUTHOR]

A novel quality assurance process for electroanatomical mapping (EAM)-to-radiotherapy planning imaging (RTPI) target transport was assessed within the multi-center multi-platform framework of the RAdiosurgery for VENtricular TAchycardia (RAVENTA) trial. A stand-alone software (CARDIO-RT) was developed to enable platform independent registration of EAM and RTPI of the left ventricle (LV), based on pre-generated radiotherapy contours (RTC). LV-RTC were automatically segmented into the American-Heart-Association 17-segment-model and a manual 3D-3D method based on EAM 3D-geometry data and a semi-automated 2D-3D method based on EAM screenshot projections were developed. The quality of substrate transfer was evaluated in five clinical cases and the structural analyses showed substantial differences between manual target transfer and target transport using CARDIO-RT., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Dr. Boda-Heggemann reports consulting fees from EBAMed SA and a research grant from Elekta, outside the submitted work. Dr. Andratschke reports grants from SPHN Imaging – Swiss National Funds, from Clinical Research Priority Program University of Zurich, during the conduct of the study; personal fees from Debiopharm, personal fees from Astrazeneca, grants, personal fees and non-financial support from ViewRay, grants from Brainlab, outside the submitted work. Dr. Buergy reports consulting fees by NB Capital ApS / Nordic Biotech, honoraria by b.e. Imaging GmbH and participation on a Data Safety Monitoring Board or Advisory Board by PharmaMar S.A., outside the submitted work. Dr. Krug reports research funding by Merck KGaA, outside the submitted work. Dr. Saguner received educational grants through his institution from Abbott, Bayer Healthcare, Biosense Webster, Biotronik, Boston Scientific, BMS/Pfizer, and Medtronic; and speaker /advisory board fees from Abbott, Bayer Healthcare, Daiichi-Sankyo, Medtronic and Novartis, outside the submitted work. All other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 Published by Elsevier B.V. on behalf of European Society of Radiotherapy & Oncology.)

Purpose: The friction characteristics at the interface between prosthetic socket and liner have an important influence on the walking function and wearing comfort of amputees. The frictional behavior at the prosthetic socket/liner interface can provide theoretical guidance for the design and selection of prosthetic materials. So it is of great significance to study the friction behavior at prosthetic socket/liner interface., Methods: The surface roughnesses of the prosthetic socket and liner materials were measured by a laser confocal microscope. The frictional behavior at the prosthetic socket/liner interface was studied on a UMT TriboLab Tribometer by simulating the reciprocating sliding contact mode. An infrared camera was used to take thermal images and then calculated the temperature increase at the socket/liner interface., Results: The coefficient of friction of the silicon rubber fabric are significantly smaller than that of the foam liner materials. The frictional energy dissipation at the liner/acrylic socket interface is the smallest, while it is greater for 3D-printed socket materials. Meanwhile, the temperature increase has a positive correlation to the coefficient of friction and frictional energy dissipation., Conclusions: The three kinds of 3D-printed materials with high surface roughness have higher interface coefficient of friction and energy dissipation than acrylic material. The stiffness and energy consumption play an important role in the interface friction characteristics of the prosthetic liner materials. The appropriate coefficient of friction at the surface between prosthetic socket and liner is essential. A type of the reinforcement fiber has influence on the friction behavior of the 3D-printed reinforced nylon.