What's new on Revolution Apex Platform: ready to grow when you are

At RSNA 2024, the Apex platform stood out as a beacon of innovation and adaptability in medical imaging. As the healthcare landscape evolves, so too does Apex, ensuring it remains at the forefront of addressing clinical needs and adapting to technological advancements. This year’s updates demonstrate how Apex continues to redefine medical imaging through groundbreaking solutions in cardiac imaging, sustainability, and patient-centric design.

Industry-First ECG-Less Cardiac Imaging: Simplifying Cardiac Assessments

Apex is breaking barriers with its ECG-less Cardiac imaging capability, a true game-changer for cardiac assessments. By removing the need for ECG traces, this innovation simplifies preparation, enhances workflow efficiency, and expands access to critical cardiac evaluations. Key use cases include:

• Emergency Scenarios: When time is of the essence, ECG-less imaging streamlines the process, allowing clinicians to focus on delivering rapid and accurate results.
• Highly Instrumented Patients: For patients already connected to multiple devices, such as in trauma cases, the absence of an additional ECG connection simplifies imaging.
• Challenging Clinical Situations: In cases where obtaining an adequate ECG signal is impractical, Apex ensures reliable imaging without compromising quality.
• Structural Heart Evaluations: From TAVR to PV ablation planning, ECG-less imaging enhances diagnostic flexibility.

By addressing common challenges in cardiac imaging, this feature ensures seamless patient access and faster workflows in critical clinical presentations.

Unlimited 1-Beat Cardiac Imaging: Redefining Cardiac Care

The Apex platform’s Unlimited 1-Beat Cardiac imaging sets a new standard for precision and efficiency. This revolutionary technology ensures consistent image quality for patients with varying heart rhythms, including those with high heart rates and atrial fibrillation. Highlights include:

• Motion-Free Imaging: Apex captures detailed images even for heavily calcified coronary arteries, stents, and bypass grafts.
• Pediatric-Friendly Design: Achieve sub-millisievert radiation doses for young patients, ensuring safety without sacrificing quality.
• Streamlined TAVI/TAVR Planning: A single, low-contrast scan provides all the necessary information, simplifying procedures and reducing the need for multiple injections.
• Beta-Blocker-Free Scans: Eliminating the dependency on beta-blockers in cardiac imaging enhances patient safety and reduces preparation time.

These advancements empower clinicians to deliver exceptional care with minimal patient preparation and maximum diagnostic clarity.

TrueFidelity™ DL: Advancing Diagnostic Confidence

TrueFidelity™ DL, Apex’s proprietary deep learning technology, continues to lead in enhancing image clarity. This innovation combines noise reduction with visual sharpness enhancement to produce images that inspire diagnostic confidence. Notable features include:

• Superior Cardiac Imaging: TrueFidelity DL ensures crisp and clear images, even in complex cardiac cases.
• Broad Application: From standard diagnostic imaging to challenging cases involving motion artifacts, TrueFidelity delivers consistent results.
• Enhanced Clinical Confidence: Radiologists can rely on sharper, more detailed images for accurate diagnoses and effective treatment planning.

By prioritizing both visual sharpness and noise reduction, TrueFidelity DL elevates the overall imaging experience.

TrueFidelity  was reported to achieve radiation dose reduction ranging from 38% to 96%*

Segment Reconstruction: Addressing Non-Cooperative Patients

Handling challenging patients is now more effective with Apex’s segment reconstruction technology. Designed to improve temporal resolution, this feature is particularly beneficial in:

• Pediatric Imaging: Overcome challenges posed by non-compliant children who cannot hold still or hold their breath.
• Dynamic Imaging Needs: Enable 4D imaging for musculoskeletal, lung, neuro, and other dynamic applications.
• Motion Artifact Mitigation: Reduce scanning times and ensure complete scans, even for uncooperative patients.

Segment reconstruction ensures that even the most complex cases are handled with precision and efficiency, enhancing patient outcomes and workflow efficiency.

Energy Saving Mode 2.0: Leading in Sustainability

Apex is setting benchmarks in environmental sustainability with Energy Saving Mode 2.0, which reduces power consumption by over 30%. Key aspects of this feature include:

• Automatic Transitions: The scanner enters low-power mode during extended idle periods, such as overnight or weekends.
• Seamless Activation: The system automatically reactivates before scheduled operations, ensuring readiness without manual intervention.
• Operational Efficiency: By deactivating parts of the gantry and the computing subsystem, healthcare providers can achieve significant energy savings without disrupting workflows.

This initiative not only aligns with global sustainability goals but also supports healthcare institutions in reducing their carbon footprint while maintaining operational excellence.

Apex: A Platform Built to Evolve

At its core, Apex is more than a medical imaging platform; it is a dynamic ecosystem designed to grow and adapt alongside its users. From pioneering ECG-less imaging to leading in sustainability, Apex continues to push the boundaries of what’s possible in healthcare technology.

This year’s updates reinforce Apex’s commitment to delivering transformative solutions that address real-world challenges. As the demands of healthcare evolve, so too does Apex, ensuring it remains a trusted partner for clinicians and healthcare providers worldwide.

For more insights into the latest advancements in medical imaging, connect with me on LinkedIn. Together, we can explore how these innovations are shaping the future of healthcare.

Discover more on Revolution Apex unlimited clinical capabilities on the dedicated webpage

* Benz, D. C. et al. Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography. Eur. Radiol. 32, 2620–2628 (2022).

Li, W. et al. High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses. Eur. Radiol. 32, 2912–2920 (2022).

Sun, J. et al. Performance evaluation of using shorter contrast injection and 70 kVp with deep learning image reconstruction for reduced contrast medium dose and radiation dose in coronary CT angiography for children: a pilot study. Quant. Imaging Med. Surg. 11, 4162171–4164171 (2021).

Nam, J. G., Hong, J. H., Kim, D. S., Oh, J. & Goo, J. M. Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction. Eur. Radiol. 31, 5533–5543 (2021).

  Cao, L. et al. A study of using a deep learning image reconstruction to improve the image quality of extremely low-dose contrast-enhanced abdominal CT for patients with hepatic lesions. Br. J. Radiol. 94, 20201086 (2021).

Jensen, C. T. et al. Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases. Radiology 303, 90–98 (2022).

  Cheng, Y. et al. Low-dose CT urography using deep learning image reconstruction: a prospective study for comparison with conventional CT urography. Br. J. Radiol. 94, 20201291 (2021).

Wang, H., Li, L.-L., Shang, J., Song, J. & Liu, B. Application of deep learning image reconstruction in low-dose chest CT scan. Br. J. Radiol. 95, 20210380 (2022).

Yeom, J.-A. et al. Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction. Medicina (Mex.) 58, 939 (2022).