Skip to main content
Journal cover image

A Technique for Generating Volumetric Cine-Magnetic Resonance Imaging.

Publication ,  Journal Article
Harris, W; Ren, L; Cai, J; Zhang, Y; Chang, Z; Yin, F-F
Published in: Int J Radiat Oncol Biol Phys
June 1, 2016

PURPOSE: The purpose of this study was to develop a techique to generate on-board volumetric cine-magnetic resonance imaging (VC-MRI) using patient prior images, motion modeling, and on-board 2-dimensional cine MRI. METHODS AND MATERIALS: One phase of a 4-dimensional MRI acquired during patient simulation is used as patient prior images. Three major respiratory deformation patterns of the patient are extracted from 4-dimensional MRI based on principal-component analysis. The on-board VC-MRI at any instant is considered as a deformation of the prior MRI. The deformation field is represented as a linear combination of the 3 major deformation patterns. The coefficients of the deformation patterns are solved by the data fidelity constraint using the acquired on-board single 2-dimensional cine MRI. The method was evaluated using both digital extended-cardiac torso (XCAT) simulation of lung cancer patients and MRI data from 4 real liver cancer patients. The accuracy of the estimated VC-MRI was quantitatively evaluated using volume-percent-difference (VPD), center-of-mass-shift (COMS), and target tracking errors. Effects of acquisition orientation, region-of-interest (ROI) selection, patient breathing pattern change, and noise on the estimation accuracy were also evaluated. RESULTS: Image subtraction of ground-truth with estimated on-board VC-MRI shows fewer differences than image subtraction of ground-truth with prior image. Agreement between normalized profiles in the estimated and ground-truth VC-MRI was achieved with less than 6% error for both XCAT and patient data. Among all XCAT scenarios, the VPD between ground-truth and estimated lesion volumes was, on average, 8.43 ± 1.52% and the COMS was, on average, 0.93 ± 0.58 mm across all time steps for estimation based on the ROI region in the sagittal cine images. Matching to ROI in the sagittal view achieved better accuracy when there was substantial breathing pattern change. The technique was robust against noise levels up to SNR = 20. For patient data, average tracking errors were less than 2 mm in all directions for all patients. CONCLUSIONS: Preliminary studies demonstrated the feasibility of generating real-time VC-MRI for on-board localization of moving targets in radiation therapy.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Int J Radiat Oncol Biol Phys

DOI

EISSN

1879-355X

Publication Date

June 1, 2016

Volume

95

Issue

2

Start / End Page

844 / 853

Location

United States

Related Subject Headings

  • Phantoms, Imaging
  • Oncology & Carcinogenesis
  • Magnetic Resonance Imaging, Cine
  • Lung Neoplasms
  • Liver Neoplasms
  • Humans
  • 5105 Medical and biological physics
  • 3407 Theoretical and computational chemistry
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Harris, W., Ren, L., Cai, J., Zhang, Y., Chang, Z., & Yin, F.-F. (2016). A Technique for Generating Volumetric Cine-Magnetic Resonance Imaging. Int J Radiat Oncol Biol Phys, 95(2), 844–853. https://doi.org/10.1016/j.ijrobp.2016.02.011
Harris, Wendy, Lei Ren, Jing Cai, You Zhang, Zheng Chang, and Fang-Fang Yin. “A Technique for Generating Volumetric Cine-Magnetic Resonance Imaging.Int J Radiat Oncol Biol Phys 95, no. 2 (June 1, 2016): 844–53. https://doi.org/10.1016/j.ijrobp.2016.02.011.
Harris W, Ren L, Cai J, Zhang Y, Chang Z, Yin F-F. A Technique for Generating Volumetric Cine-Magnetic Resonance Imaging. Int J Radiat Oncol Biol Phys. 2016 Jun 1;95(2):844–53.
Harris, Wendy, et al. “A Technique for Generating Volumetric Cine-Magnetic Resonance Imaging.Int J Radiat Oncol Biol Phys, vol. 95, no. 2, June 2016, pp. 844–53. Pubmed, doi:10.1016/j.ijrobp.2016.02.011.
Harris W, Ren L, Cai J, Zhang Y, Chang Z, Yin F-F. A Technique for Generating Volumetric Cine-Magnetic Resonance Imaging. Int J Radiat Oncol Biol Phys. 2016 Jun 1;95(2):844–853.
Journal cover image

Published In

Int J Radiat Oncol Biol Phys

DOI

EISSN

1879-355X

Publication Date

June 1, 2016

Volume

95

Issue

2

Start / End Page

844 / 853

Location

United States

Related Subject Headings

  • Phantoms, Imaging
  • Oncology & Carcinogenesis
  • Magnetic Resonance Imaging, Cine
  • Lung Neoplasms
  • Liver Neoplasms
  • Humans
  • 5105 Medical and biological physics
  • 3407 Theoretical and computational chemistry
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis