MARBLES - Metal Artifact Based Landmark Enhanced Susceptibility Weighted Imaging For Interventional Device Localization In MRI

Pranav Vaidik Dhulipala, Caiyun Shi, Guoxi Xie, Haifeng Wang, Jim Ji

Research output: Contribution to journalArticle

Abstract

Susceptibility Weighted Imaging (SWI) is a method extensively studied for its application to improve contrast in MR imaging modality. The method enhances the visualization of magnetically susceptible content such as iron, calcium and zinc in the tissues by using the susceptibility differences in tissues to generate a unique image contrast. In this study, we propose an SWI based approach to improve the visualization of interventional devices in MRI data. Results obtained from two datasets (biopsy needle and brachytherapy seeds), indicate SWI to be suitable for visualization of the interventional devices, while also being computationally faster when compared with quantitative susceptibility mapping (QSM).

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Magnetic resonance imaging
Artifacts
Metals
Imaging techniques
Equipment and Supplies
Visualization
Brachytherapy
Needle Biopsy
Zinc
Seeds
Iron
Tissue
Calcium
Biopsy
Needles
Seed
Datasets

ASJC Scopus subject areas

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

Cite this

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title = "MARBLES - Metal Artifact Based Landmark Enhanced Susceptibility Weighted Imaging For Interventional Device Localization In MRI",
abstract = "Susceptibility Weighted Imaging (SWI) is a method extensively studied for its application to improve contrast in MR imaging modality. The method enhances the visualization of magnetically susceptible content such as iron, calcium and zinc in the tissues by using the susceptibility differences in tissues to generate a unique image contrast. In this study, we propose an SWI based approach to improve the visualization of interventional devices in MRI data. Results obtained from two datasets (biopsy needle and brachytherapy seeds), indicate SWI to be suitable for visualization of the interventional devices, while also being computationally faster when compared with quantitative susceptibility mapping (QSM).",
author = "Dhulipala, {Pranav Vaidik} and Caiyun Shi and Guoxi Xie and Haifeng Wang and Jim Ji",
year = "2018",
month = "7",
day = "1",
doi = "10.1109/EMBC.2018.8512739",
language = "English",
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pages = "2611--2614",
journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Dhulipala, Pranav Vaidik

AU - Shi, Caiyun

AU - Xie, Guoxi

AU - Wang, Haifeng

AU - Ji, Jim

PY - 2018/7/1

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N2 - Susceptibility Weighted Imaging (SWI) is a method extensively studied for its application to improve contrast in MR imaging modality. The method enhances the visualization of magnetically susceptible content such as iron, calcium and zinc in the tissues by using the susceptibility differences in tissues to generate a unique image contrast. In this study, we propose an SWI based approach to improve the visualization of interventional devices in MRI data. Results obtained from two datasets (biopsy needle and brachytherapy seeds), indicate SWI to be suitable for visualization of the interventional devices, while also being computationally faster when compared with quantitative susceptibility mapping (QSM).

AB - Susceptibility Weighted Imaging (SWI) is a method extensively studied for its application to improve contrast in MR imaging modality. The method enhances the visualization of magnetically susceptible content such as iron, calcium and zinc in the tissues by using the susceptibility differences in tissues to generate a unique image contrast. In this study, we propose an SWI based approach to improve the visualization of interventional devices in MRI data. Results obtained from two datasets (biopsy needle and brachytherapy seeds), indicate SWI to be suitable for visualization of the interventional devices, while also being computationally faster when compared with quantitative susceptibility mapping (QSM).

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JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

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