An improved algorithm for UWB based imaging of breast tumors

Santu Sardar*, Amit K. Mishra

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)


In this paper we propose a novel approach for breast tumor diagnosis (detection and volume estimation) using ultrawideband (UWB) radio frequency (RF) sensors in an application specific instrumentation (ASIN) framework, which is also proposed in this paper. In this, the application specific analysis is performed without giving any intermediate output. For the case of UWB based breast tumour diagnosis we try to perform the diagnosis without the need of constructing an radio-frequency image of the breast tissue. By avoiding the intermediate step of image construction we avoid many complexities, viz impractical assumptions of RF imaging, implementation of the complex imaging algorithms and requirement for a large number of transmitter-receiver positions. We have validated the conceptual framework by applying it on extensive amount of FDTD simulated database. Decision making regarding tumor presence and tumor size is done using neural network based machine learning algorithms. We validate the scheme for both detection of the tumor and for the estimation of its size. For a rigorous analysis we have also validated the scheme for the cases involving the presence of single or multiple false-alarms, i.e. anomalies with difference in fat tissues dielectric constant which is not as high as for the case of an actual tumor. Next, the proposed scheme is tested to check whether the total volume of tumor can be estimated when the total volume consists of volumes of multiple tumors.

Original languageEnglish
Title of host publicationICIIP 2011 - Proceedings
Subtitle of host publication2011 International Conference on Image Information Processing
PublisherIEEE Press
Number of pages6
ISBN (Electronic)978-1-61284-861-7
ISBN (Print)978-1-61284-859-4
Publication statusPublished - 03 Nov 2011
Externally publishedYes
Event2011 International Conference on Image Information Processing, ICIIP 2011 - Waknaghat, Shimla, Himachal Pradesh, India
Duration: 03 Nov 201105 Nov 2011

Publication series

NameICIIP 2011 - Proceedings: 2011 International Conference on Image Information Processing


Conference2011 International Conference on Image Information Processing, ICIIP 2011
CityWaknaghat, Shimla, Himachal Pradesh
Period03 Nov 201105 Nov 2011


  • finite difference time domain (FDTD)
  • Neural Network
  • Regression
  • tumour detection
  • ultrawideband (UWB)


Dive into the research topics of 'An improved algorithm for UWB based imaging of breast tumors'. Together they form a unique fingerprint.

Cite this