Imaging of tumor boundary using motion vector mapping

Takashi Azuma, Hideki Yohiskawa, Kazuaki Sasaki, Ken Ichi Kawabata, Shinichiro Umemura

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

Abstract

A method to detect a boundary between a tumor region and surrounding normal tissue using tissue motion vector mapping is described. The boundary between the tumor and the surrounding normal tissue can not be detected in the conventional B-mode images because the difference between their echogenicity is too small in several type of tumor. The extent and the aspect of adhesion at the boundary depend on the tumor type. Some possibilities are that metastatic tumors tend to have a loose boundary and move along it relatively smoothly by respiratory motion. Such a boundary may not be detected in a single B-mode frame, but can be recognized in a B-mode movie. Defining of the boundary is essential for non- and minimally invasive therapies, and the estimation of tumor volume based on it is also essential for optimization of medication. We proposed a new imaging method based on the detection of spatial discontinuity of the tissue motion vector, estimated by the image correlation between sequential frames. A VX2 tumor implanted to the liver of a rabbit was chosen to test the proposed method. The boundary between the tumor and the surrounding normal tissue was not clearly detected in B-mode images, but it was clearly shown by the proposed method.

Original languageEnglish
Title of host publication2006 IEEE International Ultrasonics Symposium, IUS
Pages2040-2043
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1

Publication series

NameProceedings - IEEE Ultrasonics Symposium
Volume1
ISSN (Print)1051-0117

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Fingerprint Dive into the research topics of 'Imaging of tumor boundary using motion vector mapping'. Together they form a unique fingerprint.

  • Cite this

    Azuma, T., Yohiskawa, H., Sasaki, K., Kawabata, K. I., & Umemura, S. (2006). Imaging of tumor boundary using motion vector mapping. In 2006 IEEE International Ultrasonics Symposium, IUS (pp. 2040-2043). [4152376] (Proceedings - IEEE Ultrasonics Symposium; Vol. 1). https://doi.org/10.1109/ULTSYM.2006.520