Comparison of methods for texture analysis of H-scan ultrasound images from breast cancer patients undergoing neoadjuvant chemotherapy

Swapnil Dolui, Mehnoosh Torkzaban, Basak Dogan, Dominique James, Corinne Wessner, Jessica Porembka, Priscilla MacHado, Bersu Ozcan, Nisha Unni, Maysa Abu Khalaf, Flemming Forsberg, Kibo Nam, Kenneth Hoyt

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

Abstract

H-scan ultrasound (US) imaging is a tissue characterization technique that depicts the relative size of acoustic scatterers. A total of nice patients diagnosed with locally advanced breast cancer and scheduled to receive neoadjuvant chemotherapy (NAC) were enrolled in this study. At baseline and again after completion of 10 and 30% neoadjuvant chemotherapy, imaging was performed using a clinical US scanner (Logiq E9, GE Healthcare) equipped with an 9L-D linear array transducer. Beamformed radiofrequency (RF) data was acquired at a center frequency of 9 MHz and saved for offline analysis. Two digital filters were constructed using 2nd and 8th-order Gaussian-weighted Hermite polynomial functions and convolved in parallel with each RF data sequence to measure the relative strength of the backscattered US signals. The signal envelope for each filter output was then calculated and color-coded to form the final H-scan US image. Textural analysis and eight features derived from the H-scan US images were used to assess various spatial relationships between pixel intensities. H-scan US image and texture parameters were linearly combined using support vector machines to quantify the ability to separate tumor response. Pathology reports indicated that all cancers that responded to NAC exhibited reduced cellularity content. In addition to changes in mean H-scan US image intensity, texture feature maps also progressively changed during the NAC treatment period suggesting differences in US scattering from responding and nonresponding tumor types.

Original languageEnglish (US)
Title of host publicationIUS 2023 - IEEE International Ultrasonics Symposium, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798350346459
DOIs
StatePublished - 2023
Event2023 IEEE International Ultrasonics Symposium, IUS 2023 - Montreal, Canada
Duration: Sep 3 2023Sep 8 2023

Publication series

NameIEEE International Ultrasonics Symposium, IUS
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Conference

Conference2023 IEEE International Ultrasonics Symposium, IUS 2023
Country/TerritoryCanada
CityMontreal
Period9/3/239/8/23

Keywords

  • H-scan ultrasound
  • breast cancer
  • chemotherapy
  • texture analysis
  • tissue characterization
  • ultrasound imaging

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Fingerprint

Dive into the research topics of 'Comparison of methods for texture analysis of H-scan ultrasound images from breast cancer patients undergoing neoadjuvant chemotherapy'. Together they form a unique fingerprint.

Cite this