Evidence map›Paper›PMID 30180274›Full record

ArticleMedical physics2018

Image quality and dose characteristics for an O-arm intraoperative imaging system with model-based image reconstruction.

A Uneri, X Zhang, T Yi, J W Stayman, P A Helm, N Theodore, J H Siewerdsen

Abstract read
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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Zeitschrift fur medizinische Physik · 2022
    Article
  2. Article
  3. Three-dimensional intraoperative computed tomography imaging for zygomatic fracture repair.Journal of the Korean Association of Oral and Maxillofacial Surgeons · 2021
    Article
  4. Hip capsular strain varies between ligaments dependent on both hip position- and applied rotational force.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. 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.

A UneriDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
X ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
T YiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
J W StaymanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
P A HelmMedtronic Inc., Littleton, MA, 01460, USA.
N TheodoreDepartment of Neurosurgery, Johns Hopkins Medical Institute, Baltimore, MD, 21287, USA.
J H SiewerdsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.

Funding

Intraoperative Imaging for Guidance, Patient Safety, and OR Quality AssuranceR01EB017226 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H · 2014 to 2017
$2.1M
Training In Orthopaedic Team ScienceT32AR067708 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI JONES, LYNNE C., SHAFIQ, BABAR · 2015 to 2024
$2.0M
NIAMS NIH HHS T32 AR067708NIBIB NIH HHS R01 EB017226NIH HHS R01-EB-017226NIH HHS T32 AR-067708
6 · The paper itself

Abstract

purposeTo assess the imaging performance and radiation dose characteristics of the O-arm CBCT imaging system (Medtronic Inc., Littleton MA) and demonstrate the potential for improved image quality and reduced dose via model-based image reconstruction (MBIR).

methodsTwo main studies were performed to investigate previously unreported characteristics of the O-arm system. First is an investigation of dose and 3D image quality achieved with filtered back-projection (FBP) - including enhancements in geometric calibration, handling of lateral truncation and detector saturation, and incorporation of an isotropic apodization filter. Second is implementation of an MBIR algorithm based on Huber-penalized likelihood estimation (PLH) and investigation of image quality improvement at reduced dose. Each study involved measurements in quantitative phantoms as a basis for analysis of contrast-to-noise ratio and spatial resolution as well as imaging of a human cadaver to test the findings under realistic imaging conditions.

resultsView-dependent calibration of system geometry improved the accuracy of reconstruction as quantified by the full-width at half maximum of the point-spread function - from 0.80 to 0.65 mm - and yielded subtle but perceptible improvement in high-contrast detail of bone (e.g., temporal bone). Standard technique protocols for the head and body imparted absorbed dose of 16 and 18 mGy, respectively. For low-to-medium contrast (<100 HU) imaging at fixed spatial resolution (1.3 mm edge-spread function) and fixed dose (6.7 mGy), PLH improved CNR over FBP by +48% in the head and +35% in the body. Evaluation at different dose levels demonstrated 30% increase in CNR at 62% of the dose in the head and 90% increase in CNR at 50% dose in the body.

conclusionsA variety of improvements in FBP implementation (geometric calibration, truncation and saturation effects, and isotropic apodization) offer the potential for improved image quality and reduced radiation dose on the O-arm system. Further gains are possible with MBIR, including improved soft-tissue visualization, low-dose imaging protocols, and extension to methods that naturally incorporate prior information of patient anatomy and/or surgical instrumentation.

Indexed as

Cone-Beam Computed TomographyRadiation DosageCalibrationHumansImage Processing, Computer-AssistedIntraoperative PeriodPhantoms, ImagingQuality ControlSignal-To-Noise Ratiocone-beam CTimage-guided surgerymodel-based image reconstructionradiation dosesurgical navigation

Identifiers

PMID30180274
PMCPMC6711149

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Registered trials

None linked

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.