QIMP

🚀 **SPECIAL PRE-RELEASE ANNOUNCEMENT** 🚀 We are excited to bring you an early glimpse of MOOSE 2.0, our enhanced 3D medical image segmentation tool, officially launching at EANM 2023 this September. But guess what? We're rolling out an early access program for our dedicated community! 🎉 MOOSE 2.0 is crafted with data-centric AI principles and is designed to cater to both preclinical and clinical imaging. It's Leaner. It's Meaner. It's Stronger. 💪 🖥️ **Leaner**: MOOSE 2.0 operates efficiently on less than 32GB of RAM and is compatible across all OS, with or without NVIDIA GPUs. ⚡ **Meaner**: Outpacing its predecessor with speeds reaching 5x faster, MOOSE 2.0 aims to deliver results quickly and efficiently. 🥊 **Stronger**: Powered by a substantial 2.5k datasets (that's ~60x times more data than our first model), MOOSE 2.0 is designed for better precision and improved outcomes. Moreover, MOOSE 2.0 offers the flexibility of being used as a command-line tool for batch processing or as a library package in Python projects. 📚 **Here's the special part**: We're offering **early access** to MOOSE 2.0! If you're interested, simply join our MOOSE Discord server at https://lnkd.in/edpP4qaJ. By joining our Discord community, you'll get a first-hand experience of MOOSE 2.0, have the opportunity to provide valuable feedback, and even get a sneak peek at new models before they're officially introduced. This is a unique opportunity to be a part of the development process and contribute to the growth of MOOSE 2.0. 🎁🎈 So, why wait? Join us on this exciting journey as we continue to refine and expand the capabilities of medical image segmentation with MOOSE 2.0. Let's explore this together! 🥂 #MOOSE2.0 #MedicalImaging #AI #3Dsegmentation #DataCentricAI #Innovation #Technology #EANM2023

Welcoming our collaborators Hiroshi Wakabayashi and Anna Chen from the University Hospital Kanazawa in Japan in Vienna. Today, we kicked off our new research project "CONTENT: Metabolic-mapping of normative metabolism in FDG-PET" that is funded by the Austrian Science Fund FWF (PAT3538424). Drs Wakabayashi and Chen will join our team in analysing over 900 healthy controls undergoing whole-body FDG-PET/CT imaging to build a normative database of healthy metabolism as measured with FDG-PET. This information will be used to assess systemic, metabolic aberrations across multiple organs in cancer patients. If successful, our project can contribute to understanding systemic diseases, such as cancer, better, and help make more personalized decision making during the diagnostic workup of patients undergoing PET imaging. And what nicer place to gather and enjoy the open minded atmosphere than the newly renovated Austrian Parliament. Daria Ferrara Sebastian Gutschmayer Manuel Pires Lalith Kumar Shiyam Sundar, PhD

It’s always a thrill watching new talent step up to the mic for their first talk! 🚀🎤 Manuel Pires took the plunge at #EANM24 with his debut presentation, and boy, did he nail it! 👏🎉 He introduced LION, his lesion segmentation tool (not a real lion, but it does pounce on data 🦁), part of the ENHANCE.PET initiative 🐾! We at QIMP couldn’t be prouder to be raising the next generation of researchers and communicators in the ever-evolving world of nuclear medicine. 💥 Go Manuel! Here’s to many more ROARing successes! 👏 #ResearchPride #NuclearMedicine #NextGenScience

From Vienna to Melbourne: Reunited with Hunor Kertész! Lalith Kumar Shiyam Sundar, PhD and Thomas Beyer, PhD, MBA from the QIMP research group took a trip down under to catch up with our old friend and alumnus, Hunor, who moved to Sydney 18 months ago. We had an absolute blast working together again, exploring Melbourne and sharing laughs like old times. We even recreated a throwback photo from before he left Vienna—some things never change! Great to see you again, Hunor. Stay awesome - Until next time! #Friendship #Reunion #QIMP #Melbourne #ViennaToMelbourne #Throwback

📣 New Paper Alert! Many oncology patients suffer from #cachexia, a multifactorial syndrome that leads to severe muscle and weight loss, along with inflammation. Can the metabolic information from whole-body [18F]FDG PET/CT imaging help identify this condition in lung cancer patients? As part of the LuCaPET consortium, we had the opportunity to explore this fascinating topic, and we have published our findings in the Journal of Cachexia, Sarcopenia and Muscle. Take a look at the study and share your thoughts 💡 https://lnkd.in/dX3u8WAn

🚀 Exciting times ahead! 🚀 Our latest editorial at The Journal of Nuclear Medicine - JNM dives into the question: Is automatic tumor segmentation in 18F-FDG PET/CT scans a clinical reality 🧐? Spoiler alert : As of now no! But it’s coming sooner than you think! And AI is taking the wheel - irrespective of industrial or academic solutions, with the goal of making tumor assessments faster, precise, and reproducible. But it’s not all smooth sailing – we’ve got hurdles like diverse data and regulatory hoops to jump through. 🤔🏃♂️ The big takeaway? Teamwork across sectors is crucial to turning these AI dreams into clinical reality. 🌐💡Clinicians, Academics and Industry partners need to unite and focus on creating common infrastructures. And funding agencies should think about funding “high-quality” labeling services - because garbage in = garbage out. And no overworked resident or doctor wants to segment 1000s of data. Thank you Ramsey Badawi and Ken Herrmann for the timely topic and opportunity! And thank you to all the industry folks for taking the time to answer our questions and for the incredible transparency! Finally a special thanks to David Kersting for providing unbiased clinical perspective. https://lnkd.in/dUK7PqmY

Happy to promote the e-book "Editor's challenge in medical physics and imaging: Quantitative medical imaging" just published by Frontiers in Physics: https://lnkd.in/e5FHVCe3 . Kudos to the contributing authors and research teams and a big thank you note to the Frontiers production team. With that, my esteemed companion and editor in chief Ewald Moser, PhD and I will waive good-bye to our subspecialty journal "Medical Imaging and Physics": https://lnkd.in/eh9afZTT . We wish the new editors Zhen Cheng and Federico Giove from Centro Fermi all well. This is a great journal with more worthy contributions to medical imaging and physics to come. Enjoy deep-diving into this challenge: #PET, #quantification, #MRI, #CT, #quality control, #phantoms

🚨 New Paper Alert! 🚨 Ever wondered how AI could be a game-changer in the realm of total-body PET? Wonder no more! Thanks to Rod (@Rodney Hicks) we had the golden opportunity to dive deep into this fascinating topic! We’ve just published a review article that explores the frontiers of AI in accelerating total-body PET research. 🔍 Curious? Intrigued? Skeptical? All of the above? Good! That means it’s time for you to take a look. Who knows? You might stumble upon an inspiring idea… or maybe you hate it altogether! Either way we look forward to hear your thoughts! Link: https://lnkd.in/dw6E8Jq3

📣 Exciting news! Our latest paper on the impact of reduced [18F]FDG doses in whole-body PET/CT imaging has been published and is now accessible in the journal Frontiers in Physics. Take a look and share your insights with us 💡