DocumentCode :
1119147
Title :
Tumor Boundary Estimation Through Time-Domain Peaks Monitoring: Numerical Predictions and Experimental Results in Tissue-Mimicking Phantoms
Author :
Wang, Peng ; Brace, Christopher L. ; Converse, Mark C. ; Webster, John G.
Author_Institution :
Dept. of Biomed. Eng., Univ. of Wisconsin, Madison, WI, USA
Volume :
56
Issue :
11
fYear :
2009
Firstpage :
2634
Lastpage :
2641
Abstract :
A method to estimate the boundary of a tumor using an interstitial microwave probe was evaluated in numerical and phantom models. This method utilizes time-domain signal reflection from the tumor/liver interface to provide information about tumor boundary in both radial and axial directions. Using computational experiments, tumors with radial diameters up to 25 mm were estimated with less than 1 mm error. Axial diameters were estimated with at most 5 mm error. Accuracy seemed to increase with radial diameter but decreased with axial diameter. Phantom experiments confirmed the computational results. These early results indicate that the proposed method may be used to estimate tumor boundary in both radial and axial dimensions without imaging. The technique may also be applicable in other situations that contain dielectric contrast between a volume of tissue and its background, such as monitoring tumor ablation growth. Additional work is needed to validate and optimize this method in tumor models.
Keywords :
biomedical measurement; biothermics; diameter measurement; liver; microwave reflectometry; patient treatment; phantoms; time-domain reflectometry; tumours; UWB signal; axial dimension; dielectric contrast; dipole antenna; interstitial microwave probe; microwave ablation antenna; microwave network analyzer; numerical model; radial dimension; time-domain peak monitoring; time-domain signal reflection; tissue-mimicking phantoms; tumor ablation growth; tumor boundary estimation; tumor-liver interface; Dielectrics; Imaging phantoms; Liver neoplasms; Microwave theory and techniques; Monitoring; Numerical models; Optimization methods; Probes; Reflection; Time domain analysis; Ablation; microwave ablation; microwave phantom; microwave simulation; time-domain signal reflection; tumor ablation; Ablation Techniques; Algorithms; Computer Simulation; Finite Element Analysis; Image Processing, Computer-Assisted; Liver; Liver Neoplasms; Microwaves; Models, Biological; Phantoms, Imaging;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2009.2025963
Filename :
5130243
Link To Document :
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