Title :
Robust strain estimation using adaptive dynamic grid interpolation model
Author :
Yamakawa, Makoto ; Bu, Shuhui ; Shiina, Tsuyoshi
Author_Institution :
Grad. Sch. of Eng., Kyoto Univ., Kyoto
Abstract :
Tissue strain imaging is a new technology for imaging tissue hardness information using ultrasound, and it is being used for diagnosing breast cancer etc. However, the method currently being used often induces errors in poor signal-to-noise ratio (SNR) areas such as low-echo areas. Therefore, this paper proposes a method that can robustly estimate a strain distribution in poor SNR areas. In order to use the adaptive dynamic grid interpolation (ADGI) model with a correlation coefficient in the proposal method, errors in the poor SNR areas are corrected and a high spatial resolution is maintained in the good SNR area.
Keywords :
adaptive estimation; biomechanics; biomedical ultrasonics; cancer; correlation methods; image resolution; interpolation; tumours; ADGI; SNR; adaptive dynamic grid interpolation model; breast cancer diagnoses; correlation coefficient; low-echo area; robust strain estimation; signal-to-noise ratio; spatial resolution; tissue strain imaging; ultrasound imaging; Breast cancer; Capacitive sensors; Computer errors; Error correction; Interpolation; Proposals; Robustness; Signal to noise ratio; Spatial resolution; Ultrasonic imaging; adaptive dynamic grid interpolation model; correlation coefficient; displacement; signal-to-noise ratio; strain imaging;
Conference_Titel :
Ultrasonics Symposium, 2008. IUS 2008. IEEE
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2428-3
Electronic_ISBN :
978-1-4244-2480-1
DOI :
10.1109/ULTSYM.2008.0498
