Evidence map›Paper›PMID 35413145›Full record

ArticleJournal of applied clinical medical physics2022

Motion modeling from 4D MR images of liver simulating phantom.

Henna Kavaluus, Lauri Koivula, Eero Salli, Tiina Seppälä, Kauko Saarilahti, Mikko Tenhunen

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Motion modeling from 4D MR images of liver simulating phantom.Journal of applied clinical medical physics · 2022
    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

6 authors at 3 institutions in 1 country.

Henna KavaluusComprehensive Cancer Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Lauri KoivulaComprehensive Cancer Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Eero SalliMedical Imaging Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Tiina SeppäläComprehensive Cancer Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Kauko SaarilahtiComprehensive Cancer Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Mikko TenhunenComprehensive Cancer Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Helsinki University Hospital · FIHelsinki Institute of Physics · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeA novel method of retrospective liver modeling was developed based on four-dimensional magnetic resonance (4D-MR) images. The 4D-MR images will be utilized in generation of the subject-specific deformable liver model to be used in radiotherapy planning (RTP). The purpose of this study was to test and validate the developed 4D-magnetic resonance imaging (MRI) method with extensive phantom tests. We also aimed to build a motion model with image registration methods from liver simulating phantom images. MATERIALS AND

methodsA deformable phantom was constructed by combining deformable tissue-equivalent material and a programmable 4D CIRS-platform. The phantom was imaged in 1.5 T MRI scanner with T2-weighted 4D SSFSE and T1-weighted Ax dual-echo Dixon SPGR sequences, and in computed tomography (CT). In addition, geometric distortion of the 4D sequence was measured with a GRADE phantom. The motion model was developed; the phases of the 4D-MRI were used as surrogate data, and displacement vector fields (DVF's) were used as a motion measurement. The motion model and the developed 4D-MRI method were evaluated and validated with extensive tests.

resultThe 4D-MRI method enabled an accuracy of 2 mm using our deformable phantom compared to the 4D-CT. Results showed a mean accuracy of <2 mm between coordinates and DVF's measured from the 4D images. Three-dimensional geometric accuracy results with the GRADE phantom were: 0.9-mm mean and 2.5 mm maximum distortion within a 100 mm distance, and 2.2 mm mean, 5.2 mm maximum distortion within a 150 mm distance from the isocenter.

conclusionsThe 4D-MRI method was validated with phantom tests as a necessary step before patient studies. The subject-specific motion model was generated and will be utilized in the generation of the deformable liver model of patients to be used in RTP.

Indexed as

Four-Dimensional Computed TomographyMagnetic Resonance ImagingHumansLiverMotionPhantoms, ImagingRetrospective Studiesdeformable image registrationliver 4D-MRImotion modelSBRT

Identifiers

PMID35413145
PMCPMC9278689
OpenAlexW4223446260

What OpenQuestion holds

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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.