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New technologies to reduce pediatric radiation doses.

Bernhardt P, Lendl M, Deinzer F - Pediatr Radiol (2006)

Bottom Line: We present new developments to further decrease pediatric patient dose.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.

View Article: PubMed Central - PubMed

Affiliation: Siemens AG, Siemensstr. 1, 91301 Forchheim, Germany. philipp.bernhardt@siemens.com

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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Related in: MedlinePlus

Major processing blocks of the noise-reduction algorithm
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Fig2: Major processing blocks of the noise-reduction algorithm

Mentions: For these spatial noise-reduction algorithms a-priori knowledge has to be applied in order to reach differentiation between signal and noise. The class of algorithms used here employs a decomposition of the incoming original image into several frequency bands. The resulting data structure is called a Laplacian pyramid [6]. These band signals are processed with filters of the same structure but with different parameter settings [7], thus reflecting the introduction of certain a-priori knowledge. The filtered band signals are collected to reconstruct the output image (Fig. 2). By appropriate parameter settings filter results can be reached, as illustrated in Fig. 3.Fig. 2


New technologies to reduce pediatric radiation doses.

Bernhardt P, Lendl M, Deinzer F - Pediatr Radiol (2006)

Major processing blocks of the noise-reduction algorithm
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2663645&req=5

Fig2: Major processing blocks of the noise-reduction algorithm
Mentions: For these spatial noise-reduction algorithms a-priori knowledge has to be applied in order to reach differentiation between signal and noise. The class of algorithms used here employs a decomposition of the incoming original image into several frequency bands. The resulting data structure is called a Laplacian pyramid [6]. These band signals are processed with filters of the same structure but with different parameter settings [7], thus reflecting the introduction of certain a-priori knowledge. The filtered band signals are collected to reconstruct the output image (Fig. 2). By appropriate parameter settings filter results can be reached, as illustrated in Fig. 3.Fig. 2

Bottom Line: We present new developments to further decrease pediatric patient dose.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.

View Article: PubMed Central - PubMed

Affiliation: Siemens AG, Siemensstr. 1, 91301 Forchheim, Germany. philipp.bernhardt@siemens.com

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.

Show MeSH
Related in: MedlinePlus