Evidence map›Paper›PMID 28789598›Full record

ArticleTechnology in cancer research & treatment2017

Development of a Computerized 4-D MRI Phantom for Liver Motion Study.

Chunhao Wang, Fang-Fang Yin, W P Segars, Zheng Chang, Lei Ren

Abstract read
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Article in Technology in cancer research & treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chunhao WangDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Fang-Fang YinDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
W P SegarsDepartment of Radiology, Duke University Medical Center, Durham, NC, USA.
Zheng ChangDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Lei RenDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.

Funding

A Limited-angle Intra-fractional Verification (LIVE) System for SBRT TreatmentsR01CA184173 · NCI · DUKE UNIVERSITY · PI REN, LEI, YIN, FANG-FANG · 2015 to 2018
$1.5M
NCI NIH HHS R01 CA184173
6 · The paper itself

Abstract

purposeTo develop a 4-dimensional computerized magnetic resonance imaging phantom with image textures extracted from real patient scans for liver motion studies.

methodsThe proposed phantom was developed based on the current version of 4-dimensional extended cardiac-torso computerized phantom and a clinical magnetic resonance scan. Initially, the extended cardiac-torso phantom was voxelized in abdominal-chest region at the end of exhalation phase. Structures/tissues were classified into 4 categories: (1) Seven key textured organs, including liver, gallbladder, spleen, stomach, heart, kidneys, and pancreas, were mapped from a clinical T1-weighted liver magnetic resonance scan using deformable registration. (2) Large textured soft tissue volumes were simulated via an iterative pattern generation method using the same magnetic resonance scan. (3) Lung and intestine structures were generated by assigning uniform intensity with proper noise modeling. (4) Bony structures were generated by assigning the magnetic resonance values. A spherical hypointensity tumor was inserted into the liver. Other respiratory phases of the 4-dimensional phantom were generated using the backward deformation vector fields exported by the extended cardiac-torso program, except that bony structures were generated separately for each phase. A weighted image filtering process was utilized to improve the overall tissue smoothness at each phase.

resultsThree 4-dimensional series with different motion amplitudes were generated. The developed motion phantom produced good illustrations of abdominal-chest region with anatomical structures in key organs and texture patterns in large soft tissue volumes. In a standard series, the tumor volume was measured as 13.90 ± 0.11 cm

conclusionsA 4-D computerized phantom was developed and could be used to produce image series with synthetic magnetic resonance textures for magnetic resonance imaging research of liver motion.

Indexed as

computerized phantomdeformable registrationliverMRIorgan motion

Identifiers

PMID28789598
PMCPMC5575982

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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.