Tissue elasticity imaging based on combined autocorrelation method and 3-D tissue model

N. Nitta, M. Yamakawa, T. Shiina, E. Ueno, Marvin M. Doyley, Jeffrey C. Bamber

Research output: Contribution to journalConference articlepeer-review

20 Citations (Scopus)


To obtain an accurate strain distribution under a large displacement, beyond ultrasonic wavelength, we propose a method of reconstructing the strain distribution by modifying the autocorrelation technique. We call this method the `combined autocorrelation method'. The method is capable of rapidly detecting strain in the phase domain processing without aliasing. We also attempt to reconstruct the elastic modulus distribution by solving the inverse problem based on a 3-D finite element tissue model. These methods were applied to obtaining strain and elastic modulus images of a tumor phantom and an extracted breast tissue including a cancer tumor. A tumor with a 10 mm diameter and with poor contrast in a B-mode image was clearly displayed as a region harder than the surrounding soft tissue in the strain and elastic modulus images. These results indicate that the proposed method is a promising means for diagnosing tumor.

Original languageEnglish
Pages (from-to)1447-1450
Number of pages4
JournalProceedings of the IEEE Ultrasonics Symposium
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1998 International Ultrasonics Symposium - Sendai, Miyagi, Jpn
Duration: 1998 Oct 51998 Oct 8

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


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