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Detection of vesicoureteral reflux using microwave radiometry-system characterization with tissue phantoms.

Publication ,  Journal Article
Arunachalam, K; Maccarini, P; De Luca, V; Tognolatti, P; Bardati, F; Snow, B; Stauffer, P
Published in: IEEE transactions on bio-medical engineering
June 2011

Microwave (MW) radiometry is proposed for passive monitoring of kidney temperature to detect vesicoureteral reflux (VUR) of urine that is externally heated by a MW hyperthermia device and thereafter reflows from the bladder to kidneys during reflux. Here, we characterize in tissue-mimicking phantoms the performance of a 1.375 GHz radiometry system connected to an electromagnetically (EM) shielded microstrip log spiral antenna optimized for VUR detection. Phantom EM properties are characterized using a coaxial dielectric probe and network analyzer (NA). Power reflection and receive patterns of the antenna are measured in layered tissue phantom. Receiver spectral measurements are used to assess EM shielding provided by a metal cup surrounding the antenna. Radiometer and fiberoptic temperature data are recorded for varying volumes (10-30 mL) and temperaturesg (40-46°C) of the urine phantom at 35 mm depth surrounded by 36.5°C muscle phantom. Directional receive pattern with about 5% power spectral density at 35 mm target depth and better than -10 dB return loss from tissue load are measured for the antenna. Antenna measurements demonstrate no deterioration in power reception and effective EM shielding in the presence of the metal cup. Radiometry power measurements are in excellent agreement with the temperature of the kidney phantom. Laboratory testing of the radiometry system in temperature-controlled phantoms supports the feasibility of passive kidney thermometry for VUR detection.

Duke Scholars

Published In

IEEE transactions on bio-medical engineering

DOI

EISSN

1558-2531

ISSN

0018-9294

Publication Date

June 2011

Volume

58

Issue

6

Start / End Page

1629 / 1636

Related Subject Headings

  • Vesico-Ureteral Reflux
  • Radiometry
  • Phantoms, Imaging
  • Models, Chemical
  • Models, Biological
  • Microwaves
  • Humans
  • Equipment Design
  • Child, Preschool
  • Child
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Arunachalam, K., Maccarini, P., De Luca, V., Tognolatti, P., Bardati, F., Snow, B., & Stauffer, P. (2011). Detection of vesicoureteral reflux using microwave radiometry-system characterization with tissue phantoms. IEEE Transactions on Bio-Medical Engineering, 58(6), 1629–1636. https://doi.org/10.1109/tbme.2011.2107515
Arunachalam, Kavitha, Paolo Maccarini, Valeria De Luca, Piero Tognolatti, Fernando Bardati, Brent Snow, and Paul Stauffer. “Detection of vesicoureteral reflux using microwave radiometry-system characterization with tissue phantoms.IEEE Transactions on Bio-Medical Engineering 58, no. 6 (June 2011): 1629–36. https://doi.org/10.1109/tbme.2011.2107515.
Arunachalam K, Maccarini P, De Luca V, Tognolatti P, Bardati F, Snow B, et al. Detection of vesicoureteral reflux using microwave radiometry-system characterization with tissue phantoms. IEEE transactions on bio-medical engineering. 2011 Jun;58(6):1629–36.
Arunachalam, Kavitha, et al. “Detection of vesicoureteral reflux using microwave radiometry-system characterization with tissue phantoms.IEEE Transactions on Bio-Medical Engineering, vol. 58, no. 6, June 2011, pp. 1629–36. Epmc, doi:10.1109/tbme.2011.2107515.
Arunachalam K, Maccarini P, De Luca V, Tognolatti P, Bardati F, Snow B, Stauffer P. Detection of vesicoureteral reflux using microwave radiometry-system characterization with tissue phantoms. IEEE transactions on bio-medical engineering. 2011 Jun;58(6):1629–1636.

Published In

IEEE transactions on bio-medical engineering

DOI

EISSN

1558-2531

ISSN

0018-9294

Publication Date

June 2011

Volume

58

Issue

6

Start / End Page

1629 / 1636

Related Subject Headings

  • Vesico-Ureteral Reflux
  • Radiometry
  • Phantoms, Imaging
  • Models, Chemical
  • Models, Biological
  • Microwaves
  • Humans
  • Equipment Design
  • Child, Preschool
  • Child