Conference proceeding
Comparison Study of Displacement Estimation Methods for Microwave Ablation Procedures Using Electrode Displacement Elastography
2017 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), pp.1-1
IEEE International Ultrasonics Symposium
01/01/2017
DOI: 10.1109/ULTSYM.2017.8091554
Abstract
Minimally invasive procedures such as microwave ablation (MWA) are growing in popularity as a substitute for surgical resection of hepatocellular carcinomas. Ultrasound electrode displacement elastography (EDE) has demonstrated the potential to provide a feasible non-ionizing approach for monitoring the region of thermal necrosis. We present results on a comparison of the contrast, signal-to-noise (SNR) and contrast-to-noise (CNR) ratios for two displacement estimation algorithms; namely the Quality-Guided Displacement Tracking (QGDT) and the Coupled Subsample Displacement Estimation (CSDE) methods. Twenty patients with EDE strain images estimated from the same radiofrequency frame pair using both algorithms are presented. CSDE depicts well delineated ablated regions, while QGDT in many instances depicts noisy boundaries. Quantitatively, the SNR, contrast, and CNR obtained using CSDE were higher than those obtained with QGDT. The axial SNR, contrast, and CNR for QGDT were found to be 34.6 +/- 11.9 dB, 7.8 +/- 4.2 dB, and 2.7 +/- 6.4 dB, while the CSDE presented with values of 56.9 +/- 20.4 dB, 22.5 +/- 12.3, and 3.8 +/- 2.5 dB, respectively. This study indicates that EDE using CSDE provides improved strain images however, both approaches produced reproducible results.
Details
- Title: Subtitle
- Comparison Study of Displacement Estimation Methods for Microwave Ablation Procedures Using Electrode Displacement Elastography
- Creators
- Robert M. Pohlman - University of Wisconsin–MadisonJingfeng Jiang - Michigan Technological UniversityWenjun Yang - Univ Wisconsin, Dept Med Phys, Sch Med & Publ Hlth, 1530 Med Sci Ctr, Madison, WI 53706 USATimothy J. Ziemlewicz - University of Wisconsin–MadisonMarci L. Alexander - University of Wisconsin–MadisonKelly L. Wergin - University of Wisconsin–MadisonMeghan G. Lubner - University of Wisconsin–MadisonJames L. Hinshaw - University of Wisconsin–MadisonFred T. Lee - University of Wisconsin–MadisonTomy Varghese - University of Wisconsin–Madison
- Resource Type
- Conference proceeding
- Publication Details
- 2017 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), pp.1-1
- Publisher
- IEEE
- Series
- IEEE International Ultrasonics Symposium
- DOI
- 10.1109/ULTSYM.2017.8091554
- ISSN
- 1948-5719
- eISSN
- 1948-5727
- Number of pages
- 4
- Grant note
- 2R01 CA112192 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA NVIDIA; Nvidia Corporation
- Language
- English
- Date published
- 01/01/2017
- Academic Unit
- Radiation Oncology
- Record Identifier
- 9984697643402771
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