Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Detection and characterization of breast masses with ultrasound tomography: clinical results

[+] Author Affiliations
Neb Duric, Peter Littrup, Cuiping Li, Olsi Rama, Lisa Bey-Knight, Steven Schmidt, Jessica Lupinacci

Karmanos Cancer Institute, Wayne State Univ. (USA)

Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 72651G (March 20, 2009); doi:10.1117/12.812994
Text Size: A A A
From Conference Volume 7265

  • Medical Imaging 2009: Ultrasonic Imaging and Signal Processing
  • Stephen A. McAleavey; Jan D'hooge
  • Lake Buena Vista, FL | February 07, 2009

abstract

We report on a continuing assessment of the in-vivo performance of an operator independent breast imaging device based on the principles of acoustic tomography. This study highlights the feasibility of mass characterization using criteria derived from reflection, sound speed and attenuation imaging. The data were collected with a clinical prototype at the Karmanos Cancer Institute in Detroit MI from patients recruited at our breast center. Tomographic sets of images were constructed from the data and used to form 3-D image stacks corresponding to the volume of the breast. Masses were identified independently by either ultrasound or biopsy and their locations determined from conventional mammography and ultrasound exams. The nature of the mass and its location were used to assess the feasibility of our prototype to detect and characterize masses in a case-following scenario. Our techniques generated whole breast reflection images as well as images of the acoustic parameters of sound speed and attenuation. The combination of these images reveals major breast anatomy, including fat, parenchyma, fibrous stroma and masses. The three types of images are intrinsically co-registered because the reconstructions are performed using a common data set acquired by the prototype. Fusion imaging, utilizing thresholding, is shown to visualize mass characterization and facilitates separation of cancer from benign masses. These initial results indicate that operatorindependent whole-breast imaging and the detection and a characterization of cancerous breast masses are feasible using acoustic tomography techniques.

© (2009) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Neb Duric ; Peter Littrup ; Cuiping Li ; Olsi Rama ; Lisa Bey-Knight, et al.
"Detection and characterization of breast masses with ultrasound tomography: clinical results", Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 72651G (March 20, 2009); doi:10.1117/12.812994; http://dx.doi.org/10.1117/12.812994


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement


 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.