Localization of brachytherapy seeds in MRI by deconvolution

Ying Dong, Zheng Chang, Gregory Whitehead, Jim Ji

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

3 Citations (Scopus)

Abstract

MRI has the potential to be used as a preferred imaging method for brachytherapy during the seed insertion and post-surgery evaluation. However, the brachytherapy seeds usually appear dark in the MRI magnitude images. Previously, we have developed a method based on susceptibility mapping to generate positive contrast of the seeds, which allows improved seed localization. In this paper, we propose a new method to localize the seeds by deconvolution using a seed kernel (i.e. the calculated magnetic field surrounding a seed). The deconvolution is solved using a regularized L 1 minimization. Results from simulated and experimental data sets show that the seeds can be identified and localized using the proposed method more precisely.

Original languageEnglish
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Pages2960-2963
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
Duration: 3 Jul 20137 Jul 2013

Other

Other2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
CountryJapan
CityOsaka
Period3/7/137/7/13

Fingerprint

Brachytherapy
Deconvolution
Magnetic resonance imaging
Seed
Seeds
Magnetic Fields
Surgery
Magnetic fields
Imaging techniques

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Dong, Y., Chang, Z., Whitehead, G., & Ji, J. (2013). Localization of brachytherapy seeds in MRI by deconvolution. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 (pp. 2960-2963). [6610161] https://doi.org/10.1109/EMBC.2013.6610161

Localization of brachytherapy seeds in MRI by deconvolution. / Dong, Ying; Chang, Zheng; Whitehead, Gregory; Ji, Jim.

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. p. 2960-2963 6610161.

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

Dong, Y, Chang, Z, Whitehead, G & Ji, J 2013, Localization of brachytherapy seeds in MRI by deconvolution. in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013., 6610161, pp. 2960-2963, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 3/7/13. https://doi.org/10.1109/EMBC.2013.6610161
Dong Y, Chang Z, Whitehead G, Ji J. Localization of brachytherapy seeds in MRI by deconvolution. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. p. 2960-2963. 6610161 https://doi.org/10.1109/EMBC.2013.6610161
Dong, Ying ; Chang, Zheng ; Whitehead, Gregory ; Ji, Jim. / Localization of brachytherapy seeds in MRI by deconvolution. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. pp. 2960-2963
@inproceedings{cbb8505a4e614ab3a0f4fe9d8e5dbf5d,
title = "Localization of brachytherapy seeds in MRI by deconvolution",
abstract = "MRI has the potential to be used as a preferred imaging method for brachytherapy during the seed insertion and post-surgery evaluation. However, the brachytherapy seeds usually appear dark in the MRI magnitude images. Previously, we have developed a method based on susceptibility mapping to generate positive contrast of the seeds, which allows improved seed localization. In this paper, we propose a new method to localize the seeds by deconvolution using a seed kernel (i.e. the calculated magnetic field surrounding a seed). The deconvolution is solved using a regularized L 1 minimization. Results from simulated and experimental data sets show that the seeds can be identified and localized using the proposed method more precisely.",
author = "Ying Dong and Zheng Chang and Gregory Whitehead and Jim Ji",
year = "2013",
doi = "10.1109/EMBC.2013.6610161",
language = "English",
isbn = "9781457702167",
pages = "2960--2963",
booktitle = "2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013",

}

TY - GEN

T1 - Localization of brachytherapy seeds in MRI by deconvolution

AU - Dong, Ying

AU - Chang, Zheng

AU - Whitehead, Gregory

AU - Ji, Jim

PY - 2013

Y1 - 2013

N2 - MRI has the potential to be used as a preferred imaging method for brachytherapy during the seed insertion and post-surgery evaluation. However, the brachytherapy seeds usually appear dark in the MRI magnitude images. Previously, we have developed a method based on susceptibility mapping to generate positive contrast of the seeds, which allows improved seed localization. In this paper, we propose a new method to localize the seeds by deconvolution using a seed kernel (i.e. the calculated magnetic field surrounding a seed). The deconvolution is solved using a regularized L 1 minimization. Results from simulated and experimental data sets show that the seeds can be identified and localized using the proposed method more precisely.

AB - MRI has the potential to be used as a preferred imaging method for brachytherapy during the seed insertion and post-surgery evaluation. However, the brachytherapy seeds usually appear dark in the MRI magnitude images. Previously, we have developed a method based on susceptibility mapping to generate positive contrast of the seeds, which allows improved seed localization. In this paper, we propose a new method to localize the seeds by deconvolution using a seed kernel (i.e. the calculated magnetic field surrounding a seed). The deconvolution is solved using a regularized L 1 minimization. Results from simulated and experimental data sets show that the seeds can be identified and localized using the proposed method more precisely.

UR - http://www.scopus.com/inward/record.url?scp=84886475931&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84886475931&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2013.6610161

DO - 10.1109/EMBC.2013.6610161

M3 - Conference contribution

C2 - 24110348

AN - SCOPUS:84886475931

SN - 9781457702167

SP - 2960

EP - 2963

BT - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013

ER -