Evidence map›Paper›PMID 26936725›Full record

ArticleMedical physics2016

Technical Note: FreeCT_wFBP: A robust, efficient, open-source implementation of weighted filtered backprojection for helical, fan-beam CT.

John Hoffman, Stefano Young, Frédéric Noo, Michael McNitt-Gray

Abstract read
In one paragraph

Article in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. High throughput image labeling on chest computed tomography by deep learning.Journal of medical imaging (Bellingham, Wash.) · 2020
    Article
  5. Article
  6. [Sparse-view helical CT reconstruction based on tensor total generalized variation minimization].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

4 authors.

John HoffmanDepartments of Biomedical Physics and Radiology, David Geffen School of Medicine at UCLA, Los Angeles, California 90024.
Stefano YoungDepartment of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, California 90024.
Frédéric NooDepartment of Radiology, University of Utah, Salt Lake City, Utah 84112.
Michael McNitt-GrayDepartments of Biomedical Physics and Radiology, David Geffen School of Medicine at UCLA, Los Angeles, California 90024.

Funding

Quantitative CT Imaging for Response Assessment when using Dose Reduction MethodsU01CA181156 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BROWN, MATTHEW S, GOLDIN, JONATHAN G · 2014 to 2016
$1.1M
NCI NIH HHS U01 CA181156
6 · The paper itself

Abstract

purposeWith growing interest in quantitative imaging, radiomics, and CAD using CT imaging, the need to explore the impacts of acquisition and reconstruction parameters has grown. This usually requires extensive access to the scanner on which the data were acquired and its workflow is not designed for large-scale reconstruction projects. Therefore, the authors have developed a freely available, open-source software package implementing a common reconstruction method, weighted filtered backprojection (wFBP), for helical fan-beam CT applications.

methodsFreeCT_wFBP is a low-dependency, GPU-based reconstruction program utilizing c for the host code and Nvidia CUDA C for GPU code. The software is capable of reconstructing helical scans acquired with arbitrary pitch-values, and sampling techniques such as flying focal spots and a quarter-detector offset. In this work, the software has been described and evaluated for reconstruction speed, image quality, and accuracy. Speed was evaluated based on acquisitions of the ACR CT accreditation phantom under four different flying focal spot configurations. Image quality was assessed using the same phantom by evaluating CT number accuracy, uniformity, and contrast to noise ratio (CNR). Finally, reconstructed mass-attenuation coefficient accuracy was evaluated using a simulated scan of a FORBILD thorax phantom and comparing reconstructed values to the known phantom values.

resultsThe average reconstruction time evaluated under all flying focal spot configurations was found to be 17.4 ± 1.0 s for a 512 row × 512 column × 32 slice volume. Reconstructions of the ACR phantom were found to meet all CT Accreditation Program criteria including CT number, CNR, and uniformity tests. Finally, reconstructed mass-attenuation coefficient values of water within the FORBILD thorax phantom agreed with original phantom values to within 0.0001 mm(2)/g (0.01%).

conclusionsFreeCT_wFBP is a fast, highly configurable reconstruction package for third-generation CT available under the GNU GPL. It shows good performance with both clinical and simulated data.

Indexed as

SoftwareTomography, Spiral ComputedAlgorithmsImage Processing, Computer-Assisted

Identifiers

PMID26936725
PMCPMC4769265

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.