Quantitative ultrasound from single cells to biophantoms to tumors

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There is no underestimating the importance of modern imaging to the improved detection and management of diseases such as cancer. Ultrasound offers a cost-effective and safe modern imaging modality. A quantitative approach, termed quantitative ultrasound (QUS), offers the capability to examine the anatomic microstructure of tissue, hence opening up opportunities to quantify/diagnose such microstructure. One approach to improve specificity with QUS techniques, a model-based approach, is to develop ultrasonic scattering models that match the anatomic geometry of the tissue type under investigation. To do so, an approach from simple (individual cells) to moderate complexity (groupings of cells imbedded in a supportive structure) to significant complexity (actual tissue/tumors) has merit, especially if the degrees of complexity are with the same cell type. Therefore, an approach for improved imaging capabilities with quantitative ultrasound is that from single cells to biophantoms to tumors, and is discussed herein.

Original languageEnglish (US)
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages1118-1120
Number of pages3
DOIs
StatePublished - Dec 14 2012
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: Aug 28 2012Sep 1 2012

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period8/28/129/1/12

ASJC Scopus subject areas

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

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