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1. Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability

Author

Wickert, Anna-Katharina, Schlichtig, Michael, Vogel, Marvin, Winter, Lukas, Mezini, Mira, and Bodden, Eric

Subjects
Computer Science - Software Engineering
Abstract

Context: Static analyses are well-established to aid in understanding bugs or vulnerabilities during the development process or in large-scale studies. A low false-positive rate is essential for the adaption in practice and for precise results of empirical studies. Unfortunately, static analyses tend to report where a vulnerability manifests rather than the fix location. This can cause presumed false positives or imprecise results. Method: To address this problem, we designed an adaption of an existing static analysis algorithm that can distinguish between a manifestation and fix location, and reports error chains. An error chain represents at least two interconnected errors that occur successively, thus building the connection between the fix and manifestation location. We used our tool CogniCryptSUBS for a case study on 471 GitHub repositories, a performance benchmark to compare different analysis configurations, and conducted an expert interview. Result: We found that 50 % of the projects with a report had at least one error chain. Our runtime benchmark demonstrated that our improvement caused only a minimal runtime overhead of less than 4 %. The results of our expert interview indicate that with our adapted version participants require fewer executions of the analysis. Conclusion: Our results indicate that error chains occur frequently in real-world projects, and ignoring them can lead to imprecise evaluation results. The runtime benchmark indicates that our tool is a feasible and efficient solution for detecting error chains in real-world projects. Further, our results gave a hint that the usability of static analyses may benefit from supporting error chains., Comment: 12 pages, 4 figures, accepted by the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), March 12-15, 2024, Rovaniemi, Finland at the research papers track

Published
2024

4. List of contributors

Author

Andersen, T., primary, Barral, Matthias, additional, Bath, Jonathan M., additional, Berjano, Enrique, additional, Bomzon, Ze'ev, additional, Cornelis, Francois H., additional, Curto, Sergio, additional, Dobsicek-Trefna, Hana, additional, Dokos, Socrates, additional, González-Suárez, Ana, additional, Haemmerich, Dieter, additional, Irastorza, Ramiro, additional, Kogan, Andrei B., additional, Komiyama, Allison, additional, McEwan, A., additional, Mohammad, S., additional, Molitoris, Jason K., additional, Narmoneva, Daria A., additional, Nuccitelli, Richard, additional, Padilha Lanari Bo, A., additional, Paulides, Margarethus M., additional, Pérez, Juan J., additional, Pfannenstiel, Austin, additional, Prakash, Punit, additional, Razakamanantsoa, Leo, additional, Rijal, Nava P., additional, Rodrigues, Dario B., additional, Ryan, Thomas P., additional, Sheehan, Mary Chase, additional, Srimathveeravalli, Govindarajan, additional, Sumser, Kemal, additional, Trujillo, Macarena, additional, Vrba, Jan, additional, Vrba, David, additional, Watkins, G., additional, and Winter, Lukas, additional

Published
2022
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5. Joint <inline-formula><tex-math notation="LaTeX">$\text{B}_{0}$</tex-math></inline-formula> and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning

Author

Schote, David, Winter, Lukas, Kolbitsch, Christoph, Rose, Georg, Speck, Oliver, and Kofler, Andreas

Abstract

Objective: We present a model-based image reconstruction approach based on unrolled neural networks which corrects for image distortion and noise in low-field ($B_{0} \sim$ 50 mT) MRI. Methods: Utilising knowledge about the underlying physics, a novel network architecture (SH-Net) is introduced which involves the estimation of spherical harmonic coefficients to guarantee a spatially smooth field map estimate. The SH-Net is integrated in an end-to-end trainable model which jointly estimates the $B_{0}$-field map as well as the image. Experiments were conducted on retrospectively simulated low-field data of human knees. Results: We compare our model to different model-based approaches at distinct noise levels and various $B_{0}$-field distributions. Our results show that our physics-informed neural network approach outperforms the purely model-based methods by improving the PSNR up to 11.7% and the RMSE up to 86.3%. Conclusion: Our end-to-end trained model-based approach outperforms existing methods in reconstructing image and $B_{0}$-field maps in the low-field regime. Significance: low-field MRI is becoming increasingly more popular as it enables access to MR in challenging situations such as intensive care units or resource poor areas. Our method allows for fast and accurate image reconstruction in such low-field imaging with $B_{0}$-inhomogeneity compensation under a wide range of various environmental conditions.

Published
2024
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6. Open‐source magnetic resonance imaging: Improving access, science, and education through global collaboration.

Author

Winter, Lukas, Periquito, João, Kolbitsch, Christoph, Pellicer‐Guridi, Ruben, Nunes, Rita G., Häuer, Martin, Broche, Lionel, and O'Reilly, Tom

Subjects
MAGNETIC resonance imaging, IMAGE registration
Abstract

Open‐source practices and resources in magnetic resonance imaging (MRI) have increased substantially in recent years. This trend started with software and data being published open‐source and, more recently, open‐source hardware designs have become increasingly available. These developments towards a culture of sharing and establishing nonexclusive global collaborations have already improved the reproducibility and reusability of code and designs, while providing a more inclusive approach, especially for low‐income settings. Community‐driven standardization and documentation efforts are further strengthening and expanding these milestones. The future of open‐source MRI is bright and we have just started to discover its full collaborative potential. In this review we will give an overview of open‐source software and open‐source hardware projects in human MRI research. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Investigation of alternative RF power limit control methods for 0.5T, 1.5T, and 3T parallel transmission cardiac imaging: A simulation study.

Author

Petzold, Johannes, Schmitter, Sebastian, Silemek, Berk, Winter, Lukas, Speck, Oliver, Ittermann, Bernd, and Seifert, Frank

Subjects
CARDIAC imaging, IMAGE transmission, SAFETY factor in engineering, DIAGNOSTIC imaging, SUPPLY chain management
Abstract

Purpose: To investigate safety and performance aspects of parallel‐transmit (pTx) RF control‐modes for a body coil at B0≤3T$$ {B}_0\le 3\mathrm{T} $$. Methods: Electromagnetic simulations of 11 human voxel models in cardiac imaging position were conducted for B0=0.5T$$ {B}_0=0.5\mathrm{T} $$, 1.5T$$ 1.5\mathrm{T} $$ and 3T$$ 3\mathrm{T} $$ and a body coil with a configurable number of transmit channels (1, 2, 4, 8, 16). Three safety modes were considered: the 'SAR‐controlled mode' (SCM), where specific absorption rate (SAR) is limited directly, a 'phase agnostic SAR‐controlled mode' (PASCM), where phase information is neglected, and a 'power‐controlled mode' (PCM), where the voltage amplitude for each channel is limited. For either mode, safety limits were established based on a set of 'anchor' simulations and then evaluated in 'target' simulations on previously unseen models. The comparison allowed to derive safety factors accounting for varying patient anatomies. All control modes were compared in terms of the B1+$$ {B}_1^{+} $$ amplitude and homogeneity they permit under their respective safety requirements. Results: Large safety factors (approximately five) are needed if only one or two anchor models are investigated but they shrink with increasing number of anchors. The achievable B1+$$ {B}_1^{+} $$ is highest for SCM but this advantage is reduced when the safety factor is included. PCM appears to be more robust against variations of subjects. PASCM performance is mostly in between SCM and PCM. Compared to standard circularly polarized (CP) excitation, pTx offers minor B1+$$ {B}_1^{+} $$ improvements if local SAR limits are always enforced. Conclusion: PTx body coils can safely be used at B0≤3T$$ {B}_0\le 3\mathrm{T} $$. Uncertainties in patient anatomy must be accounted for, however, by simulating many models. [ABSTRACT FROM AUTHOR]

Published
2024
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11. OSI² ONE Update

Author

Winter, Lukas

Subjects
open source hardware, magnetic resonance imaging, open source imaging
Abstract

Update of the current progress of the open-source ultralow-field MRI scanner OSI² ONE given at the Open Source Imaging Initiative (www.opensourceimaging.org) user meeting.

Published
2023
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14. ISMRM Best Practices for Safety Testing of Experimental RF Hardware

Author

De Zanche, Nicola, van den Berg, Cornelis, Brunner, David, Murphy-Boesch, Joseph, Rispoli, Joseph, Adriany, Gregor, Avdievich, Nikolai, Boulant, Nicolas, Brink, Wyger, Brown, Ryan, Fiedler, Thomas, Gilbert, Kyle, Golestani Rad, Laleh, Gruber, Bernhard, Keil,Boris, Kraff, Oliver, Magill, Arthur, Mareyam, Azma, Navarro de Lara, Lucia, Oh, Sukhoon, Rao, Mahdwesha, Santini, Tales, Steensma, Bart, Winter, Lukas, Wood, Sossena, Yetişir, Filiz, and Working Group on Best Practices for Safety Testing of Experimental RF Hardware

Subjects
electromagnetic simulations, biomedical engineering, RF coils, magnetic resonance imaging, RF safety, radio frequency, medical devices, IEC 60601
Abstract

This white paper was authored by the Working Group on Best Practices for Safety Testing of Experimental RF Hardware of the International Society for Magnetic Resonance in Medicine (ISMRM). Its purpose is "to assist experts in MRI scanner hardware with obtaining local research ethics approvals for radio frequency (RF) devices built at the research site". The white paper includes information on risk management and common mitigation strategies used to ensure the safety of site-built RF coils and other RF devices used on research subjects. This record mirrors the original published on the ISMRM web site in the MR Safety Resources section (https://www.ismrm.org/mr-safety-links/).

Published
2022

15. Experimental and computational evaluation of capacitive hyperthermia

Author

Beck, Marcus, primary, Wust, Peter, additional, Oberacker, Eva, additional, Rattunde, Alexander, additional, Päßler, Tom, additional, Chrzon, Benjamin, additional, Veltsista, Paraskevi Danai, additional, Nadobny, Jacek, additional, Pellicer, Ruben, additional, Herz, Enrico, additional, Winter, Lukas, additional, Budach, Volker, additional, Zschaeck, Sebastian, additional, and Ghadjar, Pirus, additional

Published
2022
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17. Metrologie und KI: Die KI-Strategie der PTB

Author

Meyne, Sascha, Auerbach, David, Klein, Tobias, Neuwirth, Matthias, Ankerhold, Ulrike, Anton, Mathias, Pojtinger, Stefan, Steffen, Ketelhut, Sch��ffter, Tobias, Rabus, Hans, Winter, Lukas, Kofler, Andreas, Kolbitsch, Christoph, Sch��nke, Patrick, B��r, Markus, Elster, Clemens, Hoffmann, Lara, Heidenreich, Sebastian, Haufe, Stefan, Nischwitz, Martin, Esche, Marko, Barthel, Andreas, Ratschko, Dirk, Stolz, Harry, Eichst��dt, Sascha, Hutzschenreuter, Daniel, Tesch, Julia, Lanza, Giacomo, Israel, Holger, and L��bbert, Daniel

Subjects
Verfahren (K��nstliche Intelligenz), Digitale Transformation, Messdatenverl��sslichkeit, Smarte Metrologie, Messung, Generalisierung (K��nstliche Intelligenz), Kalibrierung, Umgang mit Unsicherheiten, Messger��te, Maschinelles Lernen, Lernen (k��nstliche Intelligenz)
Abstract

PTB-Mitteilungen. Band 132 (2022), Heft 1. ISSN 0030-834X, Der zunehmende Einsatz von Verfahren k��nstlicher Intelligenz (KI) revolutioniert die Wertsch��pfung aus (Mess-)Daten, er��ffnet g��nzlich neue Gesch��ftsfelder und ver��ndert praktisch s��mtliche Lebens- und Wirtschaftsbereiche. In Smart Cities erm��glichen intelligente Z��hler und Controller eine bedarfszentrierte Steuerung und Abrechnung der Energie- und Wasserversorgung sowie eine Optimierung der Netzauslastung. Predictive Maintainance reduziert in der Industrie 4.0 Produktionsausf��lle und Wartungsaufwendungen um ein Vielfaches. Im Gesundheitssektor verbessern KI-gest��tzte Diagnosen und Therapieplanungen die Behandlung der Patientinnen und Patienten und vermindern somit Ausfallzeiten und vermeidbare Belastungen des Gesundheitssystems. Gerade aus der Kombination aus breit eingesetzter Messtechnik und KI-Verfahren entsteht also ein enormer Mehrwert. Als oberste Instanz f��r das Messen versteht es die Physikalisch-Technische Bundesanstalt (PTB) als ihren Auftrag, sich der Vertrauensbildung in KI-Anwendungen gemeinsam mit anderen Akteuren der Qualit��tsinfrastruktur zu widmen. Handlungsfelder f��r die Metrologie bestehen insbesondere bei der Bewertung von KI-Systemen und der zugrundeliegenden Daten, sozusagen dem ���Messen��� der KI- und der Daten-Qualit��t. Bei Fragen rund um die Vertrauensw��rdigkeit und Verl��sslichkeit von KI m��chte die PTB ihre Expertise aktiv einbringen und fordert dabei auch eine explizitere Verantwortung f��r KI-Technologien innerhalb ihres gesetzlichen Auftrages.

Published
2022
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18. Influence of the heat treatment on the machining production in the aerospace industry

Author

Winter, Lukas

Abstract

Die Sicherheit in der Luftfahrtbranche ist eines der wichtigsten Themen. Um diesen Anforderungen gerecht zu werden, sind die verwendeten Bauteile nach dem neuesten Stand der Technik ausgelegt. Zwei wesentliche Fertigungsverfahren im Bereich der dynamisch beanspruchten Komponenten sind die zerspanende Fertigung und die Wärmebehandlung, um die Form des Bauteils und die Stoffeigenschaften im Grundmaterial zu verbessern. Daher ist es von essentieller Bedeutung diese Verfahren optimal zu kombinieren. Da jeder Prozess einen Einfluss auf den Folgenden hat, stellt sich in dieser Bachelorarbeit folgende Frage: Wie beeinflusst eine Wärmebehandlung die folgende spanende Bearbeitung in der Luftfahrtindustrie? Das Ziel der Arbeit ist es einen Überblick über die zerspanende Fertigung und den Prozess der Wärmebehandlung zu geben. Um dieses Ziel zu erreichen, wird eine adäquate Literaturrecherche durchgeführt, um zusammenfassend ein Fazit zu den einzelnen Wärmebehandlungsverfahren, die einen Einfluss auf die zerspanende Fertigung haben, darlegen zu können. Guaranteeing the safety in the aerospace business is one of the major topics that is relevant to passengers. Nowadays, the used parts are designed according to the most recent developments in technology to meet the safety requirements. Two essential manufacturing processes in the area of dynamically stressed components are machining and heat treatment. These procedures are implemented to form the components of the aircrafts and improve the material properties in the base material. Therefore, it is essential to combine these processes optimally. Since each process has an influence on the other one, the question for this bachelor thesis arises: How does a heat treatment operation influence the subsequent machining process in the aerospace industry? The aim of this thesis is to give an overview of the machining production and the process of the heat treatment. Hence, an adequate literature research is carried out to infer the effects of the individual heat treatment process on the machining production. Abweichender Titel laut Übersetzung der Verfasserin/des Verfassers Bachelorarbeit FH JOANNEUM 2022

Published
2022

20. Rapid safety assessment and mitigation of radiofrequency induced implant heating using small root mean square sensors and the sensor matrix Qs.

Author

Silemek, Berk, Seifert, Frank, Petzold, Johannes, Hoffmann, Werner, Pfeiffer, Harald, Speck, Oliver, Rose, Georg, Ittermann, Bernd, and Winter, Lukas

Subjects
ROOT-mean-squares, RADIO frequency, DETECTORS, ORTHOGRAPHIC projection
Abstract

Purpose: Rapid detection and mitigation of radiofrequency (RF)‐induced implant heating during MRI based on small and low‐cost embedded sensors. Theory and Methods: A diode and a thermistor are embedded at the tip of an elongated mock implant. RF‐induced voltages or temperature change measured by these root mean square (RMS) sensors are used to construct the sensor Q‐Matrix (QS). Hazard prediction, monitoring and parallel transmit (pTx)‐based mitigation using these sensors is demonstrated in benchtop measurements at 300 MHz and within a 3T MRI. Results: QS acquisition and mitigation can be performed in <20 ms demonstrating real‐time capability. The acquisitions can be performed using safe low powers (<3 W) due to the high reading precision of the diode (126 µV) and thermistor (26 µK). The orthogonal projection method used for pTx mitigation was able to reduce the induced signals and temperatures in all 155 investigated locations. Using the QS approach in a pTx capable 3T MRI with either a two‐channel body coil or an eight‐channel head coil, RF‐induced heating was successfully assessed, monitored and mitigated while the image quality outside the implant region was preserved. Conclusion: Small (<1.5 mm3) and low‐cost (<1 €) RMS sensors embedded in an implant can provide all relevant information to predict, monitor and mitigate RF‐induced heating in implants, while preserving image quality. The proposed pTx‐based QS approach is independent of simulations or in vitro testing and therefore complements these existing safety assessments. [ABSTRACT FROM AUTHOR]

Published
2022
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21. المحافظة على صحتنا: تراث مشترك

Author

Balli, Fabio, Tlili, Hayet (حياة التليلي), Jeanmaire, Guillaume, Sekularac, Damien, Gingras, Stéphane, Schull, Jon, Pittet, Didier, Winter, Lukas, Brahmachari, Samir, Coriat, Benjamin, Shrivastava, Richa, Issom, David-Zacharie, Omnès, Laurine, Zambrano Ovalle, Tania, Coronado, Fabien, Longet, René, Robin, Marie-Monique, Meessen, Bruno, Risse, David, Gennai, Meloe, Wachsmuth, Isabelle, Tsiaousi, Vicky, Mayoud, Laure, and Abissegue, Julie

Subjects
التقارب من أسفل إلى أعلى, المعرفة المشتركة, الإبداع المشترك بقيادة المواطن, تطوير المنتجات مفتوحة المصدر, الابتكار الطبي القائم على التضامن, السيادة الصحية الرقمية, إنتاج الأقران, الرعاية الصحية التشاركية, مجتمع متعدد التخصصات من الممارسة, البحث التشاركي, بصحة جيدة ورفاهية, صحة المجتمع, الصحة العامة الحرجة, المشاعات الصحية, برامج وأجهزة مجانية / حرة ومفتوحة المصدر
Abstract

الجمع بين التكنولوجيات و المعارف الطبية يساهم في ضمان افضل الطرق للرعاية و تقاسم التكاليف و خلق مواطن شغل محلية ٢٠ شهادة في مهرجان - لنعتن بعضنا البعض English — 中文 — हिंदी — Español — Français – বাংলা — Pусский — Português — Deutsch www.openvillage.ch :أشرطة فيديو طبعة 2020: تكنولوجيا الصحة ذات الملكية المشتركة : موثوقة، متاحة وقابلة للتكّيُف

Published
2023
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22. हमारे स्वास्थ्य का संरक्षण: एक साझी विरासत

Author

Balli, Fabio, Kumar, Aakash (आकाश कुमार), Jeanmaire, Guillaume, Sekularac, Damien, Gingras, Stéphane, Schull, Jon, Pittet, Didier, Winter, Lukas, Brahmachari, Samir, Coriat, Benjamin, Shrivastava, Richa, Issom, David-Zacharie, Omnès, Laurine, Zambrano Ovalle, Tania, Coronado, Fabien, Longet, René, Robin, Marie-Monique, Meessen, Bruno, Risse, David, Gennai, Meloe, Wachsmuth, Isabelle, Tsiaousi, Vicky, Mayoud, Laure, and Abissegue, Julie

Subjects
खुला स्रोत उत्पाद विकास, अभ्यास के अंतःविषय समुदाय, नागरिक-नेतृत्व सह-निर्माण, डिजिटल स्वास्थ्य आम, मुफ़्त/लिबर और ओपन-सोर्स सॉफ़्टवेयर और हार्डवेयर, नीचे-ऊपर अभिसरण, एकजुटता से प्रेरित चिकित्सा नवाचार, सहभागी कार्रवाई अनुसंधान, स्वास्थ्य कॉमन्स, सामुदायिक स्वास्थ्य, अच्छा स्वास्थ्य और कल्याण, महत्वपूर्ण सार्वजनिक स्वास्थ्य, भागीदारी स्वास्थ्य देखभाल, रोगी संप्रभुता, सहकर्मी उत्पादन
Abstract

पूलिंग तकनीक और चिकित्सीय ज्ञान बेहतर देख-रेख, कम लागत और स्थानीय रोजगार उपलब्ध कराता है। 20 प्रशंसा पत्र, पर्व - ‘एकसाथ देखभाल’। संतुष्ट: दृष्टि ; स्वास्थ्य में तकनीकी स्वतंत्रता ; स्वास्थ्य कॉमन्स ; कथा चिकित्सा ; हमारे मानसिक स्वास्थ्य का संरक्षण ; हमारी पृथ्वी, हमारा स्वास्थ्य ; गमनीय कार्यशाला ; विधायी रंगमंच ; उपचार की कलाएँ ; साझा मंडली ; प्रभाव। English — 中文 — Español — Français — العربية – বাংলা — Pусский — Português — Deutsch वीडियो: www.openvillage.ch – 2020 संस्करण: आमजन-स्वामित्व के रूप में स्वास्थ्य प्रौद्योगिकी: विश्वसनीय, अनुकूल एवं किफ़ायती, फ़ाइल प्रिंट (300 डीपीआई, 61 एमबी) और डिजिटल (72 डीपीआई, 12 एमबी) गुणवत्ता में उपलब्ध है।

Published
2023
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23. 保护我们的健康: 共同的遗产

Author

Balli, Fabio, Kim, Sumin (김수민), Jeanmaire, Guillaume, Sekularac, Damien, Gingras, Stéphane, Schull, Jon, Pittet, Didier, Winter, Lukas, Brahmachari, Samir, Coriat, Benjamin, Shrivastava, Richa, Issom, David-Zacharie, Omnès, Laurine, Zambrano Ovalle, Tania, Coronado, Fabien, Longet, René, Robin, Marie-Monique, Meessen, Bruno, Risse, David, Gennai, Meloe, Wachsmuth, Isabelle, Tsiaousi, Vicky, Mayoud, Laure, and Abissegue, Julie

Subjects
身体健康, 同行生产, 关键公共卫生, 病人主权, 社区卫生, 跨学科实践社区, 公民主导的共同创造, 开源产品开发, 免费/自由和开源软件和硬件, 参与式行动研究, 自下而上的收敛, 参与式医疗保健, 数字健康共享, 团结驱动的医疗创新, 卫生公地
Abstract

汇集技术和医学知识可以确保更好的护理,分担成本并创造当地的就业机会。20条证言,“让我们一起照顾”节日。 内容: 目标:疗愈团体 ; 自由健康技术 ; 健康共享 ; 叙事医学 ; 保护我们的心理健康 ; 我们的星球、我们的健康 ; 步行研讨会 ; 立法剧院 ; 治愈的艺术 ; 分享圈子 ; 影响。 English — हिंदी — Español — Français — العربية – বাংলা — Pусский — Português — Deutsch 影片: www.openvillage.ch – 2020 版: 公有制下的健康科技: 可信赖, 可负担, 可适应, 提供印刷(300 dpi,61 MB)和数字(72 dpi,12 MB)质量的文件。

Published
2023
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24. Preservar nossa saúde: um patrimônio comum

Author

Balli, Fabio, Barros, Karol, Jeanmaire, Guillaume, Sekularac, Damien, Gingras, Stéphane, Schull, Jon, Pittet, Didier, Winter, Lukas, Brahmachari, Samir, Coriat, Benjamin, Shrivastava, Richa, Issom, David-Zacharie, Omnès, Laurine, Zambrano Ovalle, Tania, Coronado, Fabien, Longet, René, Robin, Marie-Monique, Meessen, Bruno, Risse, David, Gennai, Meloe, Wachsmuth, Isabelle, Tsiaousi, Vicky, Mayoud, Laure, and Abissegue, Julie

Subjects
soberania do paciente, comuns de saúde, produção de pares, boa saúde e bem-estar, cuidados de saúde participativos, inovação médica solidária, convergência bottom-up, saúde da comunidade, comunidade de prática transdisciplinar, saúde pública crítica, pesquisa-ação participativa, comunidade de saúde digital, Software e hardware livres e de código aberto, cocriação liderada por cidadãos, desenvolvimento de produtos open source
Abstract

A combinação de tecnologias e conhecimentos médicos garante melhores cuidados, divide custos e cria empregos locais. 20 depoimentos, festival 'vamos cuidar juntos'. Conteúdo : Visão ; "Free technology" em saúde ; Comums de saúde ; Medicina narrativa ; Preservar nossa saúde mental ; Nosso planeta, nossa saúde ; Walkshops ; Teatro legislativo ; Arte para curar ; Círculos de partilhas ; Impacto. English — 中文 — हिंदी — Español — Français — العربية – বাংলা — Pусский — Deutsch Vídeos: www.openvillage.ch – Edição 2020: A tecnologia de saúde como comuns: confiável, acessível, adaptável, Ficheiro disponível em qualidade de impressão (300 dpi, 61 MB) e digital (72 dpi, 12 MB).

Published
2023
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25. Preserving our health: a common heritage

Author

Balli, Fabio, Sekularac, Damien, Gingras, Stéphane, Schull, Jon, Pittet, Didier, Winter, Lukas, Brahmachari, Samir, Coriat, Benjamin, Shrivastava, Richa, Issom, David-Zacharie, Omnès, Laurine, Zambrano Ovalle, Tania, Coronado, Fabien, Longet, René, Robin, Marie-Monique, Meessen, Bruno, Risse, David, Gennai, Meloe, Wachsmuth, Isabelle, Tsiaousi, Vicky, Mayoud, Laure, and Abissegue, Julie

Subjects
community health, free/libre and open-source software and hardware, peer production, participatory action research, health commons, participatory health care, good health and well-being, patient sovereignty, solidarity-driven medical innovation, digital health commoning, critical public health, bottom-up convergence, citizen-led co-creation, open source product development, transdisciplinary community of practice
Abstract

To pool health knowledge and technologies ensures better care, divides costs and creates local employment. 20 testimonials, festival 'Taking care together'. Content: Vision; Free/libre technologies in health; Health commons; Listening medicine; Preserving our mental health; Our planet, our health; Walkshops; "Legislative Theatre"; Arts for healing; Sharing Circles; Impact. 中文 — हिंदी — Español — Français — العربية – বাংলা — Pусский — Português — Deutsch Videos: www.openvillage.ch – Edition 2020: Health technology as commons: trustable, affordable, adaptable, File available in print (300 dpi, 61 MB) and digital (72 dpi, 12 MB) quality.

Published
2023
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26. Preservando nuestra salud: una herencia en común

Author

Balli, Fabio, Davila, Yoselyn, Jeanmaire, Guillaume, Gingras, Stéphane, Schull, Jon, Pittet, Didier, Winter, Lukas, Brahmachari, Samir, Coriat, Benjamin, Shrivastava, Richa, Issom, David-Zacharie, Omnès, Laurine, Zambrano Ovalle, Tania, Coronado, Fabien, Longet, René, Robin, Marie-Monique, Meessen, Bruno, Risse, David, Gennai, Meloe, Wachsmuth, Isabelle, Tsiaousi, Vicky, Mayoud, Laure, Abissegue, Julie, and Sekularac, Damien

Subjects
innovación médica solidaria, salud participativa, salud de la comunidad, desarrollo de productos open source, convergencia bottom-up, software y hardware librey de código abierto, producción entre pares, comunidad de práctica transdisciplinaria, puesta en común de la sanidad digital, investigación acción participativa, salud pública crítica, co-creación liderada por ciudadanos, comúnes de salud, buena salud y bienestar, soberanía del paciente
Abstract

Unificar tecnologias y conocimientos sanitarios garantiza mejor atencion, compartir gastos y crear empleos locales. 20 testimonios, festival 'cuidémonos juntos'. Contenido: Visión; Tecnologías abiertas en sanidad; Salud como común; Medicina de escucha; Preservar nuestra salud mental; Nuestro planeta, nuestra salud; Walkshops; Teatro legislativo; Arte para curar; Círculos de intercambio; Impacto. English — 中文 — हिंदी — Français — العربية – বাংলা — Pусский — Português — Deutsch Vídeos: www.openvillage.ch – Edición 2020: La tecnología de la salud como común: confiable, asequible, adaptable, Archivo disponible en calidad impresa (300 dpi, 61 MB) y digital (72 dpi, 12 MB).

Published
2023
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27. Joint [Formula: see text] and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning.

Author

Schote D, Winter L, Kolbitsch C, Rose G, Speck O, and Kofler A

Subjects
Humans, Algorithms, Neural Networks, Computer, Magnetic Resonance Imaging methods, Deep Learning, Image Processing, Computer-Assisted methods, Knee diagnostic imaging
Abstract

Objective: We present a model-based image reconstruction approach based on unrolled neural networks which corrects for image distortion and noise in low-field ( B 0  ∼  50 mT) MRI., Methods: Utilising knowledge about the underlying physics, a novel network architecture (SH-Net) is introduced which involves the estimation of spherical harmonic coefficients to guarantee a spatially smooth field map estimate. The SH-Net is integrated in an end-to-end trainable model which jointly estimates the B 0 -field map as well as the image. Experiments were conducted on retrospectively simulated low-field data of human knees., Results: We compare our model to different model-based approaches at distinct noise levels and various B 0 -field distributions. Our results show that our physics-informed neural network approach outperforms the purely model-based methods by improving the PSNR up to 11.7% and the RMSE up to 86.3%., Conclusion: Our end-to-end trained model-based approach outperforms existing methods in reconstructing image and B 0 -field maps in the low-field regime., Significance: low-field MRI is becoming increasingly more popular as it enables access to MR in challenging situations such as intensive care units or resource poor areas. Our method allows for fast and accurate image reconstruction in such low-field imaging with B 0 -inhomogeneity compensation under a wide range of various environmental conditions.

Published
2024
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28. Rapid safety assessment and mitigation of radiofrequency induced implant heating using small root mean square sensors and the sensor matrix Q s .

Author

Silemek B, Seifert F, Petzold J, Hoffmann W, Pfeiffer H, Speck O, Rose G, Ittermann B, and Winter L

Subjects
Magnetic Resonance Imaging, Phantoms, Imaging, Prostheses and Implants, Radio Waves, Heating, Hot Temperature
Abstract

Purpose: Rapid detection and mitigation of radiofrequency (RF)-induced implant heating during MRI based on small and low-cost embedded sensors., Theory and Methods: A diode and a thermistor are embedded at the tip of an elongated mock implant. RF-induced voltages or temperature change measured by these root mean square (RMS) sensors are used to construct the sensor Q-Matrix (Q S ). Hazard prediction, monitoring and parallel transmit (pTx)-based mitigation using these sensors is demonstrated in benchtop measurements at 300 MHz and within a 3T MRI., Results: Q S acquisition and mitigation can be performed in <20 ms demonstrating real-time capability. The acquisitions can be performed using safe low powers (<3 W) due to the high reading precision of the diode (126 µV) and thermistor (26 µK). The orthogonal projection method used for pTx mitigation was able to reduce the induced signals and temperatures in all 155 investigated locations. Using the Q S approach in a pTx capable 3T MRI with either a two-channel body coil or an eight-channel head coil, RF-induced heating was successfully assessed, monitored and mitigated while the image quality outside the implant region was preserved., Conclusion: Small (<1.5 mm 3 ) and low-cost (<1 €) RMS sensors embedded in an implant can provide all relevant information to predict, monitor and mitigate RF-induced heating in implants, while preserving image quality. The proposed pTx-based Q S approach is independent of simulations or in vitro testing and therefore complements these existing safety assessments., (© 2021 Physikalisch-Technische Bundesanstalt. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)

Published
2022
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