Evidence map›Paper›PMID 30383310›Full record

ArticleMedical physics2019

Fluid-filled dynamic bowtie filter: Description and comparison with other modulators.

Picha Shunhavanich, Scott S Hsieh, Norbert J Pelc

Abstract readComparative Study
In one paragraph

Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Picha ShunhavanichDepartments of Bioengineering and Radiology, Stanford University, Stanford, CA, 94305, USA.
Scott S HsiehDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, 90024, USA.
Norbert J PelcDepartments of Bioengineering and Radiology, Stanford University, Stanford, CA, 94305, USA.

Funding

High dose efficiency CT SystemU01EB017140 · NIBIB · STANFORD UNIVERSITY · PI EDIC, PETER, PELC, NORBERT J. · 2014 to 2018
$5.4M
Dynamic bowtie attenuator for CT dose reduction and dynamic range controlR21EB015574 · NIBIB · STANFORD UNIVERSITY · PI PELC, NORBERT J. · 2013 to 2014
$426k
Anandamahidol FoundationNIBIB NIH HHS R21 EB015574NIBIB NIH HHS U01 EB017140NIH HHS R21EB01557401NIH HHS U01EB017140
6 · The paper itself

Abstract

purposeA dynamic bowtie filter can modulate flux along both fan and view angles for reduced patient dose, scatter, and required photon flux, which is especially important for photon counting detectors (PCDs). Among the proposed dynamic bowtie designs, the piecewise-linear attenuator (Hsieh and Pelc, Med Phys. 2013;40:031910) offers more flexibility than conventional filters, but relies on analog positioning of a limited number of wedges. In this work, we study our previously proposed dynamic attenuator design, the fluid-filled dynamic bowtie filter (FDBF) that has digital control. Specifically, we use computer simulations to study fluence modulation, reconstructed image noise, and radiation dose and to compare it to other attenuators. FDBF is an array of small channels each of which, if it can be filled with dense fluid or emptied quickly, has a binary effect on the flux. The cumulative attenuation from each channel along the x-ray path contributes to the FDBF total attenuation.

methodsAn algorithm is proposed for selecting which FDBF channels should be filled. Two optimization metrics are considered: minimizing the maximum-count-rate for PCDs and minimizing peak-variance for energy-integrating detectors (EIDs) at fixed radiation dose (for optimizing dose efficiency). Using simulated chest, abdomen, and shoulder data, the performance is compared with a conventional bowtie and a piecewise-linear attenuator. For minimizing peak-variance, a perfect-attenuator (hypothetical filter capable of adjusting the fluence of each ray individually) and flat-variance attenuator are also included in the comparison. Two possible fluids, solutions of zinc bromide and gadolinium chloride, were tested.

resultsTo obtain the same SNR as routine clinical protocols, the proposed FDBF reduces the maximum-count-rate (across projection data, averaged over the test objects) of PCDs to 1.2 Mcps/mm

conclusionsThe FDBF allows finer control over flux distribution compared to piecewise-linear and conventional bowtie filters. It can reduce the required maximum-count-rate for PCDs to a level achievable by current detector designs and offers a high dose reduction factor.

Indexed as

AlgorithmsEquipment DesignImage Processing, Computer-AssistedRadiation DosageScattering, RadiationTomography, X-Ray Computeddynamic bowtie filterdynamic range reductionfluence field modulationpeak-variance minimizationphoton counting detector

Identifiers

PMID30383310
PMCPMC6322938

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.