About us
Overview
ENHANCE (Enabling New Horizons for Advanced Networking, Code-sharing, and Education in Total-Body PET Imaging) is a pioneering initiative dedicated to empowering the global PET imaging community. We strive to foster collaboration, drive innovation, and facilitate learning through a robust platform that connects researchers, clinicians, and industry professionals. Together, we're shaping the future of PET imaging for improved diagnostics and patient care.
Objectives
The primary objectives of the platform are to facilitate the sharing of open-source tools, provide access to high-quality total-body PET datasets, and offer educational resources that foster interdisciplinary collaboration, accelerate research, and promote innovation in the field.
MOOSE
MOOSE (Multi-organ Objective Segmentation) is a cutting-edge, data-centric AI solution designed to streamline systemic Total-Body research by generating multilabel organ segmentations with unparalleled precision. Built on the robust nn-UNet framework, MOOSE can identify 120 unique tissue classes from whole-body 18F-FDG PET/CT images, accepting inputs as either combined PET/CT images or CT-only images.
Our commitment to data-centric AI principles lies at the core of MOOSE's innovation. By maintaining a fixed state-of-the-art architecture (nnUNet), we focus on strategically augmenting the training dataset to achieve optimal segmentation performance. MOOSE leverages the concept of similarity space to systematically monitor and integrate data that enhances performance. Harness the full potential of total-body PET with MOOSE.
Data
FALCON
Introducing FALCON (Fast Algorithms for motion correction), a versatile and fully-automatic motion correction solution tailored for dynamic total-body or whole-body PET imaging across various vendors, tracers, and organs. FALCON's adaptability and reliability make it indispensable for a broad range of applications.
We're proud to offer FALCON for free to the community, ensuring that researchers and clinicians have access to a valuable tool that elevates PET image quality with minimal user input. By effectively tackling challenging imaging scenarios, FALCON delivers clear, reliable results.
Powered by the swift and proficient greedy registration toolkit, FALCON seamlessly integrates into existing workflows, becoming an essential asset for the dynamic brain, total-body, or whole-body PET imaging. Experience the advantages of cutting-edge image processing technology with FALCON today.
PIGEON
Introducing PIGEON, a groundbreaking tool designed to revolutionise the identification of unique metabolic multi-organ patterns in both health and disease. PIGEON harnesses the power of automated network analysis, machine learning, and explainable AI to deliver unprecedented insights and understanding, enabling a more comprehensive exploration of complex biological systems.
With its innovative approach, PIGEON empowers researchers and clinicians to delve deeper into intricate metabolic interactions, unlocking new possibilities for personalised medicine and targeted therapies. By seamlessly integrating state-of-the-art methodologies, PIGEON stands at the forefront of medical imaging technology, bridging the gap between data-driven analysis and clinical decision-making. Mark your calendars for the release of PIGEON by the end of this year, and prepare to experience a new era of advanced analytics.
Q2 2024
Q2 2024
Q2 2024
OCELOT
Introducing OCELOT (DiffeOmorphiC rEgistration for voxel-wise anOmaly Tracking), a state-of-the-art tool designed to detect patient anomalies by leveraging a normative database (NormDB) for precise reference CT/PET comparisons. The NormDB serves as the foundation for generating accurate aberration maps and pinpointing deviations and areas of interest. OCELOT's sophisticated algorithms make it the ultimate choice for examining complex multi-organ diseases, including cancer-induced cachexia.
Utilising AI-driven advanced regularisations and a robust deformable registration engine, OCELOT seamlessly transfers healthy subjects within a cohort into a common reference space where the NormDB is constructed. Patients can then be compared using a refined alignment procedure to identify voxel-wise aberrations in this reference space. Stay tuned for the release of OCELOT by the end of this year!
Q2 2024
Q2 2024
Q2 2024
Datalagoon
Q2 2024
Q2 2024
Q2 2024
Join the ENHANCE Initiative: Unleash the Power of Collaboration in Total-Body PET Imaging
At ENHANCE, we believe in the transformative potential of total-body PET imaging, and we're committed to advancing its capabilities through collaboration, knowledge exchange, and resource-sharing. We invite you to become an integral part of our thriving community, connecting researchers, clinicians, developers, and stakeholders to overcome challenges and unlock the true power of this cutting-edge technology.
Together, we can forge a strong, interconnected network that actively participates in our platform, engages in collaborative projects, and drives sustainable progress in the field. As ENHANCE continues to evolve and adapt, we envision it as a catalyst that reshapes healthcare by accelerating innovation in total-body PET imaging.
Embrace this ambitious endeavor with us and play an active role in realizing the full potential of total-body PET imaging. Join the ENHANCE initiative today and let's shape the future together.
Contributors
