Literature DB >> 26745910

Accuracy of respiratory motion measurement of 4D-MRI: A comparison between cine and sequential acquisition.

Yilin Liu1, Fang-Fang Yin1, DongJoo Rhee2, Jing Cai1.   

Abstract

PURPOSE: The 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.
METHODS: A 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.
RESULTS: D 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.
CONCLUSIONS: Respiratory motion measurement may be more accurate and less susceptible to breathing irregularity in sequential-mode 4D-MRI than that in cine-mode 4D-MRI.

Entities:  

Mesh:

Year:  2016        PMID: 26745910      PMCID: PMC4691253          DOI: 10.1118/1.4938066

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  35 in total

1.  4D-CT imaging of a volume influenced by respiratory motion on multi-slice CT.

Authors:  Tinsu Pan; Ting-Yim Lee; Eike Rietzel; George T Y Chen
Journal:  Med Phys       Date:  2004-02       Impact factor: 4.071

2.  Fast normalized cross correlation for motion tracking using basis functions.

Authors:  A J H Hii; C E Hann; J G Chase; E E W Van Houten
Journal:  Comput Methods Programs Biomed       Date:  2006-04-03       Impact factor: 5.428

3.  Respiration-based sorting of dynamic MRI to derive representative 4D-MRI for radiotherapy planning.

Authors:  Erik Tryggestad; Aaron Flammang; Sarah Han-Oh; Russell Hales; Joseph Herman; Todd McNutt; Teboh Roland; Steven M Shea; John Wong
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

4.  Registration-based segmentation of murine 4D cardiac micro-CT data using symmetric normalization.

Authors:  Darin Clark; Alexandra Badea; Yilin Liu; G Allan Johnson; Cristian T Badea
Journal:  Phys Med Biol       Date:  2012-09-13       Impact factor: 3.609

5.  4D XCAT phantom for multimodality imaging research.

Authors:  W P Segars; G Sturgeon; S Mendonca; Jason Grimes; B M W Tsui
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

6.  Low-dose 4DCT reconstruction via temporal nonlocal means.

Authors:  Zhen Tian; Xun Jia; Bin Dong; Yifei Lou; Steve B Jiang
Journal:  Med Phys       Date:  2011-03       Impact factor: 4.071

7.  4D-MRI analysis of lung tumor motion in patients with hemidiaphragmatic paralysis.

Authors:  Julien Dinkel; Christian Hintze; Ralf Tetzlaff; Peter E Huber; Klaus Herfarth; Juergen Debus; Hans U Kauczor; Christian Thieke
Journal:  Radiother Oncol       Date:  2009-04-24       Impact factor: 6.280

8.  Three-dimensional segmentation of the left ventricle in late gadolinium enhanced MR images of chronic infarction combining long- and short-axis information.

Authors:  Dong Wei; Ying Sun; Sim-Heng Ong; Ping Chai; Lynette L Teo; Adrian F Low
Journal:  Med Image Anal       Date:  2013-03-14       Impact factor: 8.545

9.  Investigation of sagittal image acquisition for 4D-MRI with body area as respiratory surrogate.

Authors:  Yilin Liu; Fang-Fang Yin; Zheng Chang; Brian G Czito; Manisha Palta; Mustafa R Bashir; Yujiao Qin; Jing Cai
Journal:  Med Phys       Date:  2014-10       Impact factor: 4.071

10.  Realistic CT simulation using the 4D XCAT phantom.

Authors:  W P Segars; M Mahesh; T J Beck; E C Frey; B M W Tsui
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

View more
  8 in total

1.  Initial clinical observations of intra- and interfractional motion variation in MR-guided lung SBRT.

Authors:  David H Thomas; Anand Santhanam; Amar U Kishan; Minsong Cao; James Lamb; Yugang Min; Dylan O'Connell; Yingli Yang; Nzhde Agazaryan; Percy Lee; Daniel Low
Journal:  Br J Radiol       Date:  2018-01-22       Impact factor: 3.039

2.  Real-time MRI motion estimation through an unsupervised k-space-driven deformable registration network (KS-RegNet).

Authors:  Hua-Chieh Shao; Tian Li; Michael J Dohopolski; Jing Wang; Jing Cai; Jun Tan; Kai Wang; You Zhang
Journal:  Phys Med Biol       Date:  2022-06-29       Impact factor: 4.174

3.  Multi-contrast four-dimensional magnetic resonance imaging (MC-4D-MRI): Development and initial evaluation in liver tumor patients.

Authors:  Lei Zhang; Fang-Fang Yin; Tian Li; Xinzhi Teng; Haonan Xiao; Wendy Harris; Lei Ren; Feng-Ming Spring Kong; Hong Ge; Ronghu Mao; Jing Cai
Journal:  Med Phys       Date:  2021-11-18       Impact factor: 4.506

4.  Probability-based 3D k-space sorting for motion robust 4D-MRI.

Authors:  Duohua Sun; Xiao Liang; Fangfang Yin; Jing Cai
Journal:  Quant Imaging Med Surg       Date:  2019-07

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

Authors:  Chunhao Wang; Fang-Fang Yin; W P Segars; Zheng Chang; Lei Ren
Journal:  Technol Cancer Res Treat       Date:  2017-08-09

6.  coreMRI: A high-performance, publicly available MR simulation platform on the cloud.

Authors:  Christos G Xanthis; Anthony H Aletras
Journal:  PLoS One       Date:  2019-05-17       Impact factor: 3.240

7.  Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma.

Authors:  Andy Lai-Yin Cheung; Lei Zhang; Chenyang Liu; Tian Li; Anson Ho-Yin Cheung; Chun Leung; Angus Kwong-Chuen Leung; Sai-Kit Lam; Victor Ho-Fun Lee; Jing Cai
Journal:  Front Oncol       Date:  2022-02-25       Impact factor: 6.244

8.  Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.

Authors:  Carri K Glide-Hurst; Eric S Paulson; Kiaran McGee; Neelam Tyagi; Yanle Hu; James Balter; John Bayouth
Journal:  Med Phys       Date:  2021-07       Impact factor: 4.071

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.