Evidence map›Paper›PMID 30580471›Full record

ArticleJournal of applied clinical medical physics2019

Characterization of a new physical phantom for testing rigid and deformable image registration.

Richard Y Wu, Amy Y Liu, Paul Wisdom, Xiaorong Ronald Zhu, Steven J Frank, Clifton D Fuller, Gary Brandon Gunn, Matthew B Palmer, Cody A Wages, Michael T Gillin and 1 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2019. 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.

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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

11 authors.

Richard Y WuDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Amy Y LiuDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Paul WisdomDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Xiaorong Ronald ZhuDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Steven J FrankDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Clifton D FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gary Brandon GunnDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Matthew B PalmerDosimetry Service, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Cody A WagesDosimetry Service, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Michael T GillinDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jinzhong YangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to describe a new user-friendly, low-cost phantom that was developed to test the accuracy of rigid and deformable image registration (DIR) systems and to demonstrate the functional efficacy of the new phantom. The phantom was constructed out of acrylic and includes a variety of inserts that simulate different tissue shapes and properties. It can simulate deformations and location changes in patient anatomy by changing the rotations of both the phantom and the inserts. CT scans of this phantom were obtained and used to test the rigid and deformable registration accuracy of the Velocity software. Eight rotation and translation scenarios were used to test the rigid registration accuracy, and 11 deformation scenarios were used to test the DIR accuracy. The mean rotation accuracies in the X-Y (axial) and X-Z (coronal) planes were 0.50° and 0.13°, respectively. The mean translation accuracy was 1 mm in both the X and Y direction and was tested in soft tissue and bone. The DIR accuracies for soft tissue and bone were 0.93 (mean Dice similarity coefficient), 8.3 and 4.5 mm (mean Hausdouff distance), 0.95 and 0.79 mm (mean distance), and 1.13 and 1.12 (mean volume ratio) for soft tissue content (DTE oil) and bone, respectively. The new phantom has a simple design and can be constructed at a low cost. This phantom will allow DIR systems to be effectively and efficiently verified to ensure system performance.

Indexed as

AlgorithmsPhantoms, ImagingHumansImage Processing, Computer-AssistedRadiotherapy Planning, Computer-AssistedTomography, X-Ray Computeddeformable phantommultimodality image registrationrigid and deformable image registration

Identifiers

PMID30580471
PMCPMC6333135

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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.