Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction

Huajun She, Rong Rong Chen, Edward V R Dibella, Matthias Schabel, Leslie Ying

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For DCE MRI applications, the images of adjacent time frames are often similar, especially when motion is minimal, in which case temporal TV is a reasonable regularization term. Temporal constraint reconstruction (TCR) has been developed to reconstruct dynamic images from undersampled k-t space data based on such prior information. However, the convergence speed of the algorithm highly depends on the initialization method. In this study, we study initialization using a composite high resolution image based on a jigsaw sampling pattern during pre-contrast frames. The proposed initialization method converges much faster than a conventional initialization method using low resolution images, especially at high reduction factors. In vivo breast imaging experiments were carried out to evaluate the performance of the proposed method. Experiments show the new initialization method allows TCR to achieve a high reduction factor up to 40 without compromising much of the spatial or temporal resolution. The reconstruction errors are much lower than those using the low resolution initialization when the same number of measurements is used.

Original languageEnglish (US)
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2408-2411
Number of pages4
ISBN (Print)9781424479290
DOIs
StatePublished - Nov 2 2014
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: Aug 26 2014Aug 30 2014

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period8/26/148/30/14

Fingerprint

Image resolution
Magnetic resonance imaging
Experiments
Sampling
Imaging techniques
Composite materials
Breast

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering

Cite this

She, H., Chen, R. R., Dibella, E. V. R., Schabel, M., & Ying, L. (2014). Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 2408-2411). [6944107] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6944107

Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction. / She, Huajun; Chen, Rong Rong; Dibella, Edward V R; Schabel, Matthias; Ying, Leslie.

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2408-2411 6944107.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

She, H, Chen, RR, Dibella, EVR, Schabel, M & Ying, L 2014, Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6944107, Institute of Electrical and Electronics Engineers Inc., pp. 2408-2411, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 8/26/14. https://doi.org/10.1109/EMBC.2014.6944107
She H, Chen RR, Dibella EVR, Schabel M, Ying L. Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 2408-2411. 6944107 https://doi.org/10.1109/EMBC.2014.6944107
She, Huajun ; Chen, Rong Rong ; Dibella, Edward V R ; Schabel, Matthias ; Ying, Leslie. / Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 2408-2411
@inproceedings{3e1ec7f0ed97467c918a8935e27246be,
title = "Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction",
abstract = "For DCE MRI applications, the images of adjacent time frames are often similar, especially when motion is minimal, in which case temporal TV is a reasonable regularization term. Temporal constraint reconstruction (TCR) has been developed to reconstruct dynamic images from undersampled k-t space data based on such prior information. However, the convergence speed of the algorithm highly depends on the initialization method. In this study, we study initialization using a composite high resolution image based on a jigsaw sampling pattern during pre-contrast frames. The proposed initialization method converges much faster than a conventional initialization method using low resolution images, especially at high reduction factors. In vivo breast imaging experiments were carried out to evaluate the performance of the proposed method. Experiments show the new initialization method allows TCR to achieve a high reduction factor up to 40 without compromising much of the spatial or temporal resolution. The reconstruction errors are much lower than those using the low resolution initialization when the same number of measurements is used.",
author = "Huajun She and Chen, {Rong Rong} and Dibella, {Edward V R} and Matthias Schabel and Leslie Ying",
year = "2014",
month = "11",
day = "2",
doi = "10.1109/EMBC.2014.6944107",
language = "English (US)",
isbn = "9781424479290",
pages = "2408--2411",
booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction

AU - She, Huajun

AU - Chen, Rong Rong

AU - Dibella, Edward V R

AU - Schabel, Matthias

AU - Ying, Leslie

PY - 2014/11/2

Y1 - 2014/11/2

N2 - For DCE MRI applications, the images of adjacent time frames are often similar, especially when motion is minimal, in which case temporal TV is a reasonable regularization term. Temporal constraint reconstruction (TCR) has been developed to reconstruct dynamic images from undersampled k-t space data based on such prior information. However, the convergence speed of the algorithm highly depends on the initialization method. In this study, we study initialization using a composite high resolution image based on a jigsaw sampling pattern during pre-contrast frames. The proposed initialization method converges much faster than a conventional initialization method using low resolution images, especially at high reduction factors. In vivo breast imaging experiments were carried out to evaluate the performance of the proposed method. Experiments show the new initialization method allows TCR to achieve a high reduction factor up to 40 without compromising much of the spatial or temporal resolution. The reconstruction errors are much lower than those using the low resolution initialization when the same number of measurements is used.

AB - For DCE MRI applications, the images of adjacent time frames are often similar, especially when motion is minimal, in which case temporal TV is a reasonable regularization term. Temporal constraint reconstruction (TCR) has been developed to reconstruct dynamic images from undersampled k-t space data based on such prior information. However, the convergence speed of the algorithm highly depends on the initialization method. In this study, we study initialization using a composite high resolution image based on a jigsaw sampling pattern during pre-contrast frames. The proposed initialization method converges much faster than a conventional initialization method using low resolution images, especially at high reduction factors. In vivo breast imaging experiments were carried out to evaluate the performance of the proposed method. Experiments show the new initialization method allows TCR to achieve a high reduction factor up to 40 without compromising much of the spatial or temporal resolution. The reconstruction errors are much lower than those using the low resolution initialization when the same number of measurements is used.

UR - http://www.scopus.com/inward/record.url?scp=84929501250&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84929501250&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2014.6944107

DO - 10.1109/EMBC.2014.6944107

M3 - Conference contribution

SN - 9781424479290

SP - 2408

EP - 2411

BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -