ADICUS4D
Pioneering the future of medical imaging
Where beamforming meets Artificial Intelligence.
From hospital to field-ready diagnostics — redefining precision through AI-driven acoustics.
About ADICUS4D
ADICUS4D INC. was established as a Canadian federal corporation in 2025. Our mission is to complete the development and commercialization of advanced geometrically multidimensional 3D beamformers and integrate them with AI decision-support systems.
The technologies were conceived and developed by Prof. Stergios Stergiopoulos (Senior & Chief Defence Scientist, DRDC Toronto, retired) and Prof. Konstantinos N. Plataniotis (University of Toronto).
Vision
Revolutionize the global ultrasound imaging markets by introducing a disruptive intelligent 4D ultrasound imaging system with automated diagnostic capabilities that emulate the extra level of eFAST scan protocol with AI technologies for use at the point of injury.
Mission
Transform the current proprietary 4D ultrasound “state of the art” prototype into a robust commercial platform equipped with automated diagnostic and computer aided software tools for dual use in combat casulty and trauma care defence, and civilian applications.
Developed Technologies
Portable Ultrasound
This system addresses a critical gap in battlefield medicine by delivering instant volumetric 3D/4D imaging with AI-guided eFAST for detecting non-compressible torso hemorrhage (NCTH). Using a planar matrix-array (32x32) transducer and GPU-accelerated beamforming, it enables real-time imaging at ~20 volumes per second with guided acquisition and automated interpretation.
- Planar matrix-array (32x32) transducer capturing a full 3D volume per acquisition.
- GPU-accelerated beamforming on embedded NVIDIA Jetson for low-latency volumetric imaging (~20 vol/s).
- On-device AI with guided prompts and automated interpretation for reliable eFAST workflows.
- TeleConsult GUI with secure telemedicine communication to support remote consultation and training.
- Matrix planar array probe — TRL 8
- Parallel computing architecture (8 FPGAs) — TRL 8
- 3D beamformer with volumetric reconstruction — TRL 7
- GUI with telemedicine (TeleConsult) — TRL 9
- Automated diagnostic tool (Morison’s pouch) — TRL 6
- K. L. Amezcua, et al., "Design and Testing of Ultrasound Probe Adapters for a Robotic Imaging Platform," Scientific Reports, 14(1):5102, 2024.
- Yuan Bi, et al., "Machine Learning on Robotic Ultrasound Imaging: Challenges and Perspectives," arXiv:2401.02376, 2024.
- Torres Hernandez, et al., "Evaluation of Deep Learning Model Architectures for Point-of-Care Ultrasound Diagnostics," Bioengineering, 11(4):392, 2024.
- D. C. Hile, et al., "Is Point‑of‑Care Ultrasound Accurate and Useful in the Hands of Military Medical Technicians?" Military Medicine, 177(8):983–987, 2012.
- J. D. Monti and M. D. Perreault, "Impact of a 4‑hour Introductory eFAST Training Intervention Among Ultrasound‑Naïve U.S. Military Medics," Military Medicine, 185(5‑6):e601‑e608, 2020.
- S. Stergiopoulos, K. Plataniotis, and M. Marsousi, "Optimal Probe Placement for FAST by Organ Segmentation in 3D Ultrasound Images," patent filed, DRDC File: 1416‑14/007CA, 2019.
- P. Weber, K. Plataniotis, S. Stergiopoulos, G. Sakas, et al., "Portable, 3D/4D Ultrasound Diagnostic Imaging System (PUDIS)," NATO HFM‑249 Symposium, Warsaw, April 2015.
- M. Marsousi, K. Plataniotis, and S. Stergiopoulos, "An Automated Approach for Kidney Segmentation in Three‑Dimensional Ultrasound Images," IEEE JBHI, 2016.
- M. Marsousi, K. Plataniotis, and S. Stergiopoulos, "Computer‑Assisted 3D Ultrasound Probe Placement for Emergency Healthcare Applications," IEEE TII, 2016.
- S. Stergiopoulos and A. Dhanantwari, "High Resolution 3D Ultrasound Imaging System Deploying a Multi‑Dimensional Array of Sensors," technical report/patent notes.
- S. Stergiopoulos and A. Dhanantwari, US Patent 6,719,696, 2004.
- S. Stergiopoulos and A. Dhanantwari, US Patent 6,482,160, 2002.
- S. Stergiopoulos, "3D Ultrasound System and Method," US Patent Application 61/777,321, 2018 (DND ref. 1416‑18003).
- S. Stergiopoulos, M. Marsousi, and K. Plataniotis, "Automated Diagnostics in 3D Ultrasound System and Method," US Patent Application 61/777,343, 2018 (DND ref. 1416‑18004).
Meet Our Team
Contact Us
We are always exploring new partnerships and challenges. Reach out to discuss how our technology can be tailored to meet your strategic needs.
Email: info@adicus4d.com