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Updated: Jan 31, 2026

Low-Dose Gamma Radiation Sterilization for Decellularized Tracheal Grafts
Published on: April 14, 2023
New technologies to reduce pediatric radiation doses
Philipp Bernhardt1, Markus Lendl, Frank Deinzer
1Siemens AG, Siemensstr. 1, 91301 Forchheim, Germany. philipp.bernhardt@siemens.com
Insights
New X-ray imaging techniques significantly reduce radiation dose for pediatric patients by up to 30%. These advancements improve image quality while minimizing risks associated with radiation exposure in children.
Area of Science:
- Medical Imaging
- Radiology
- Pediatric Imaging
Background:
- Pediatric patients are highly sensitive to radiation exposure, necessitating dose reduction strategies.
- Maintaining image quality is crucial for accurate diagnosis in pediatric imaging.
Purpose of the Study:
- To present novel techniques for reducing X-ray dose in pediatric patients.
- To enhance image quality and minimize radiation risks in pediatric imaging.
Main Methods:
- Advanced exposure control for constant image quality across patient sizes.
- Short pulse widths (down to 4 ms) to reduce motion artifacts.
- A novel noise-reduction algorithm processing signal and noise in different frequency bands.
- Super-resolution technique combining subpixel-shifted images to resolve fine structures.
Main Results:
- Dose savings of up to 30% for pediatric patients achieved through advanced exposure control.
- Noise reduction algorithm generates smooth images without contrast loss.
- Super-resolution enhances the ability to resolve structures smaller than a single pixel.
Conclusions:
- The presented tools, including advanced exposure control, short exposure times, noise reduction, and super-resolution, significantly improve pediatric X-ray imaging.
- These innovations offer substantial potential for minimizing both deterministic and stochastic radiation risks in children.
- Improved image quality can be leveraged for further radiation dose reduction in pediatric imaging.
Abstract:
X-ray dose reduction in pediatrics is particularly important because babies and children are very sensitive to radiation exposure. We present new developments to further decrease pediatric patient dose. With the help of an advanced exposure control, a constant image quality can be maintained for all patient sizes, leading to dose savings for babies and children of up to 30%. Because objects of interest are quite small and the speed of motion is high in pediatric patients, short pulse widths down to 4 ms are important to reduce motion blurring artifacts. Further, a new noise-reduction algorithm is presented that detects and processes signal and noise in different frequency bands, generating smooth images without contrast loss. Finally, we introduce a super-resolution technique: two or more medical images, which are shifted against each other in a subpixel region, are combined to resolve structures smaller than the size of a single pixel. Advanced exposure control, short exposure times, noise reduction and super-resolution provide improved image quality, which can also be invested to save radiation exposure. All in all, the tools presented here offer a large potential to minimize the deterministic and stochastic risks of radiation exposure.
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