Evidence map›Paper›PMID 29095489›Full record

ArticleMedical physics2018

Modeling and evaluation of a high-resolution CMOS detector for cone-beam CT of the extremities.

Qian Cao, Alejandro Sisniega, Michael Brehler, J Webster Stayman, John Yorkston, Jeffrey H Siewerdsen, Wojciech Zbijewski

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In one paragraph

Article in Medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  7. Quantitative Evaluation of Bone Microstructure using High-Resolution Extremity Cone-Beam CT with a CMOS Detector.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  8. Quantitative Cone-Beam CT of Bone Mineral Density Using Model-Based Reconstruction.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Qian CaoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
Alejandro SisniegaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
Michael BrehlerDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
J Webster StaymanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
John YorkstonCarestream Health, Rochester, NY, 14608, USA.
Jeffrey H SiewerdsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
Wojciech ZbijewskiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
Johns Hopkins University · USCarestream (United States) · USJohns Hopkins Medicine · US

Funding

Quantitative high resolution cone beam CT for assessment of bone and joint healthR01EB018896 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ZBIJEWSKI, WOJCIECH BARTOSZ · 2014 to 2017
$2.0M
Quantitative imaging biomarkers of radiation-induced bone loss in radiotherapy patientsR21CA208821 · NCI · JOHNS HOPKINS UNIVERSITY · PI MORRIS, CAROL, ZBIJEWSKI, WOJCIECH BARTOSZ · 2016 to 2017
$388k
Dual-Energy Cone-Beam Tomographic Imaging and Analysis for Rheumatoid ArthritisR21AR062293 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H · 2013 to 2014
$379k
NCI NIH HHS R21 CA208821NIAMS NIH HHS R21 AR062293NIBIB NIH HHS R01 EB018896
6 · The paper itself

Abstract

purposeQuantitative assessment of trabecular bone microarchitecture in extremity cone-beam CT (CBCT) would benefit from the high spatial resolution, low electronic noise, and fast scan time provided by complementary metal-oxide semiconductor (CMOS) x-ray detectors. We investigate the performance of CMOS sensors in extremity CBCT, in particular with respect to potential advantages of thin (<0.7 mm) scintillators offering higher spatial resolution.

methodsA cascaded systems model of a CMOS x-ray detector incorporating the effects of CsI:Tl scintillator thickness was developed. Simulation studies were performed using nominal extremity CBCT acquisition protocols (90 kVp, 0.126 mAs/projection). A range of scintillator thickness (0.35-0.75 mm), pixel size (0.05-0.4 mm), focal spot size (0.05-0.7 mm), magnification (1.1-2.1), and dose (15-40 mGy) was considered. The detectability index was evaluated for both CMOS and a-Si:H flat-panel detector (FPD) configurations for a range of imaging tasks emphasizing spatial frequencies associated with feature size aobj. Experimental validation was performed on a CBCT test bench in the geometry of a compact orthopedic CBCT system (SAD = 43.1 cm, SDD = 56.0 cm, matching that of the Carestream OnSight 3D system). The test-bench studies involved a 0.3 mm focal spot x-ray source and two CMOS detectors (Dalsa Xineos-3030HR, 0.099 mm pixel pitch) - one with the standard CsI:Tl thickness of 0.7 mm (C700) and one with a custom 0.4 mm thick scintillator (C400). Measurements of modulation transfer function (MTF), detective quantum efficiency (DQE), and CBCT scans of a cadaveric knee (15 mGy) were obtained for each detector.

resultsOptimal detectability for high-frequency tasks (feature size of ~0.06 mm, consistent with the size of trabeculae) was ~4× for the C700 CMOS detector compared to the a-Si:H FPD at nominal system geometry of extremity CBCT. This is due to ~5× lower electronic noise of a CMOS sensor, which enables input quantum-limited imaging at smaller pixel size. Optimal pixel size for high-frequency tasks was <0.1 mm for a CMOS, compared to ~0.14 mm for an a-Si:H FPD. For this fine pixel pitch, detectability of fine features could be improved by using a thinner scintillator to reduce light spread blur. A 22% increase in detectability of 0.06 mm features was found for the C400 configuration compared to C700. An improvement in the frequency at 50% modulation (f

conclusionsThe small pixel size of CMOS detectors yields improved performance in high-resolution extremity CBCT compared to a-Si:H FPDs, particularly when coupled with a custom 0.4 mm thick scintillator. The results indicate that adoption of a CMOS detector in extremity CBCT can benefit applications in quantitative imaging of trabecular microstructure in humans.

Indexed as

SemiconductorsSignal-To-Noise RatioCone-Beam Computed TomographyExtremitiesMetalsOxidesScattering, RadiationMetalsOxidesbone microstructurecascaded systems modelingCMOS detectorcone-beam CToptimizationorthopedic imaging

Identifiers

PMID29095489
PMCPMC5774240
OpenAlexW2765141938

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Registered trials

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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.