GE HealthCare Highlights Commitment to Delivering Better Patient Experiences and Outcomes Through Deep Learning at RSNA 2023
When diagnosing patients in areas where every second counts, like neurology, oncology and cardiology, clinicians need fast, clear and reliable imaging technologies.
“The potential of deep learning to create more efficient workflows and allow more patients to receive essential medical imaging services without compromising quality is boundless,” said
Innovations from
- True Enhance DLii uses a dedicated Deep Neural Network (DNN) designed to generate deep learning-based monochromatic-like images from single-energy X-ray. It is designed to enhance contrast resolution for confident diagnosis, especially for challenging oncology cases or pulmonary embolism evaluation. The AI-based solution aims to provide clinicians a simple workflow and incredible image quality without a radiation penalty.
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TrueFidelity DL is available across the company’s Revolution Apex and Revolution Ascend platforms, leveraging a DNN to generate high-definition, low-noise CT images with exceptional sharpness, low-contrast image quality with preferred noise textureiii, at the same dose.iv
GE HealthCare is also excited to expand TrueFidelity DL to lung and extremity at this year’s show. Exclusively available on Revolution Apex platform, these new features enable high resolution imaging to increase visual sharpness with reduced noise for confident reporting and accepted image texture. - Precision DL is a deep learning-based image processing software designed to enhance image quality in PET/CT scans, providing clinicians with a powerful tool to aid in precise diagnoses and treatment planning with the image quality performance benefits typically associated with hardware-based Time of Flight (ToF) reconstruction, including improved contrast-to-noise ratio, contrast recovery,v and quantitative accuracy.vi
- AIR Recon DL is a pioneering deep-learning image reconstruction technique that helps improve image sharpness and enables reduced exam times by up to 50% without compromising image qualityvii. These features help to enhance workflow efficiency and productivity for healthcare professionals, reduce the need for repeat scans, enable faster diagnoses, and enhance patient experience. With expansion from 2D to 3D and PROPELLER imaging sequences, AIR Recon DL expands to nearly all MRI clinical procedures, covering all anatomies. AIR Recon DL has been used by an estimated 16 million patients worldwide to date.viii
- Sonic DL is a deep learning breakthrough designed to accelerate MRI exams. For cardiac imaging, Sonic DL has the ability to acquire high-quality MR images up to 12 times faster than conventional methods, enabling cardiac imaging within a single heartbeat.ix
- Helix Advanced Image Processing is an innovation in X-ray technology that revolutionizes diagnostic imaging quality by consistently delivering images with appropriate detail, contrast, and latitude to enable radiologists to visualize key clinical details.
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i True Enhance DL is 510(k)-pending with the
ii True Enhance DL is 510(k)-pending with the
iii As demonstrated in a clinical evaluation consisting of 40 cases and 6 physicians, where each case was reconstructed with both DLIR and ASiR-V and evaluated by 3 of the physicians. In 92% of the reads, DLIR’s noise texture was rated better than ASiR-V’s. This rating was based on each individual reader’s preference.
iv Image quality comparisons were evaluated by phantom tests of MTF, SSP, axial NPS, standard deviation of image noise, CT Number accuracy, CNR, and artifact analysis. Additionally, LCD was demonstrated in phantom testing using a model observer with the head and body MITA CT IQ Phantoms (CT191, CT189
v Precision DL with
vi Precision DL with
vii GE HealthCare Data on File
viii calculated by IB data with estimation 20 scans per day, 5.5 working day in a week, fully start using AIR™ Recon DL 4 weeks after delivery, as of
ix GE HealthCare Data on File
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