01
Shorter scans
Fewer measurements to acquire means less time in the bore, a real difference for patients with pain or claustrophobia.
TECHNOLOGY, AI-ENHANCED IMAGING
How AI-Enabled GE Hero MRI works
AI-enabled MRI uses deep-learning reconstruction to build a clean, detailed image from fewer measurements, producing sharper scans in less time. At Lucent, the AI assists the image; a board-certified radiologist interprets it.
DEEP-LEARNING RECON
01Deep-learning reconstruction
02Shorter scan times
03Lower image noise
04Radiologist-interpreted
This page explains the technology. Ready to book?
See our MRI service pagesUnder The Hood
How AI reconstruction works.
A conventional MRI builds an image from a full raw data set. Collecting every one of those measurements is what makes a scan long, and if the acquisition is shortened, the image gets noisier.
Deep-learning reconstruction, trained on large volumes of high-quality imaging data, has learned what clean MRI data looks like. It can therefore reconstruct a sharp, low-noise image from fewer measurements, a little like a skilled restorer who knows the grain of the material well enough to resolve detail without inventing it. The scan is shorter and quieter; the anatomy on screen is still yours.
What It Changes
What it changes for patients.
02
Sharper images
Reconstruction suppresses noise rather than blurring it away, so fine structures keep their edges.
03
Fewer repeats
Cleaner first-pass images reduce the number of sequences that have to be re-run before the study is diagnostic.
04
Better motion tolerance
Shorter sequences are easier to hold still through, which matters most for chest, abdomen and paediatric imaging.
STANDARD
AI ENHANCED
Reconstruction clarityLess noise · finer detail
Boundaries
Where AI is, and isn’t, used.
AI is used for
- Image reconstruction
- Noise reduction
- Protocol efficiency
- Worklist prioritization
AI is not used for
- Making a diagnosis
- Writing your report
- Deciding your care
Every study at Lucent is interpreted by a board-certified, fellowship-trained radiologist who is accountable for the read.
Our Position
Our position on AI in imaging.
We adopt what is clinically validated, not what is merely new. We are transparent about where AI touches your exam, reconstruction, noise, scheduling efficiency, and we keep a human radiologist accountable for every interpretation. If a tool cannot demonstrate it improves care, it does not run on your scan.
FAQs
Questions about AI-enabled MRI.
No. AI assists with how the image is reconstructed and how the worklist is organized. Interpretation is performed by a board-certified, fellowship-trained radiologist who signs and is accountable for your report.
A conventional MRI builds an image from a full raw data set, and collecting that data takes time. Deep-learning reconstruction can produce a clean image from fewer measurements, so the scanner spends less time acquiring data, often cutting several minutes from an exam.
The deep-learning reconstruction we use is FDA-cleared and validated against conventional reconstruction. It is applied to protocols where that validation exists, not indiscriminately, and the radiologist can always review conventionally reconstructed images as well.
Your images and health information are handled under HIPAA. We do not share identifiable patient data with vendors for model training without your explicit consent.
AI-enabled reconstruction is available across most of our MRI protocols. Ask your technologist and they will tell you exactly what was used for your exam.
Smarter scans. Human reads.
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