ArticleMedical physics2016
Accuracy of respiratory motion measurement of 4D-MRI: A comparison between cine and sequential acquisition.
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 13 papers.
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13 citing papers in PubMed, 22 citations in OpenAlex.
- Artificial intelligence in four-dimensional imaging for motion management in radiation therapy.Artificial intelligence review · 2025Article
- Development of respiratory motion-resolved hepatobiliary phase cine-magnetic resonance imaging for stereotactic body radiotherapy in liver tumor.Scientific reports · 2024Article
- Sorting lung tumor volumes from 4D-MRI data using an automatic tumor-based signal reduces stitching artifacts.Journal of applied clinical medical physics · 2024Article
- Comparative study of sub-second temporal resolution 4D-MRI and 4D-CT for target motion assessment in a phantom model.Scientific reports · 2023Article
- Improving liver tumor image contrast and synthesizing novel tissue contrasts by adaptive multiparametric MRI fusion.Precision radiation oncology · 2022Article
- Real-time MRI motion estimation through an unsupervised k-space-driven deformable registration network (KS-RegNet).Physics in medicine and biology · 2022Article
- Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma.Frontiers in oncology · 2022Article
- Multi-contrast four-dimensional magnetic resonance imaging (MC-4D-MRI): Development and initial evaluation in liver tumor patients.Medical physics · 2021Article
- Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.Medical physics · 2021Article
- Probability-based 3D k-space sorting for motion robust 4D-MRI.Quantitative imaging in medicine and surgery · 2019Article
- Article
- Initial clinical observations of intra- and interfractional motion variation in MR-guided lung SBRT.The British journal of radiology · 2018Article
- Development of a Computerized 4-D MRI Phantom for Liver Motion Study.Technology in cancer research & treatment · 2017Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeThe authors have recently developed a cine-mode T2*/T1-weighted 4D-MRI technique and a sequential-mode T2-weighted 4D-MRI technique for imaging respiratory motion. This study aims at investigating which 4D-MRI image acquisition mode, cine or sequential, provides more accurate measurement of organ motion during respiration.
methodsA 4D digital extended cardiac-torso (XCAT) human phantom with a hypothesized tumor was used to simulate the image acquisition and the 4D-MRI reconstruction. The respiratory motion was controlled by the given breathing signal profiles. The tumor was manipulated to move continuously with the surrounding tissue. The motion trajectories were measured from both sequential- and cine-mode 4D-MRI images. The measured trajectories were compared with the average trajectory calculated from the input profiles, which was used as references. The error in 4D-MRI tumor motion trajectory (E) was determined. In addition, the corresponding respiratory motion amplitudes of all the selected 2D images for 4D reconstruction were recorded. Each of the amplitude was compared with the amplitude of its associated bin on the average breathing curve. The mean differences from the average breathing curve across all slice positions (D) were calculated. A total of 500 simulated respiratory profiles with a wide range of irregularity (Ir) were used to investigate the relationship between D and Ir. Furthermore, statistical analysis of E and D using XCAT controlled by 20 cancer patients' breathing profiles was conducted. Wilcoxon Signed Rank test was conducted to compare two modes.
resultsD increased faster for cine-mode (D = 1.17 × Ir + 0.23) than sequential-mode (D = 0.47 × Ir + 0.23) as irregularity increased. For the XCAT study using 20 cancer patients' breathing profiles, the median E values were significantly different: 0.12 and 0.10 cm for cine- and sequential-modes, respectively, with a p-value of 0.02. The median D values were significantly different: 0.47 and 0.24 cm for cine- and sequential-modes, respectively, with a p-value < 0.001.
conclusionsRespiratory motion measurement may be more accurate and less susceptible to breathing irregularity in sequential-mode 4D-MRI than that in cine-mode 4D-MRI.
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