Taki Hirofumi, Taki Kousuke, Sakamoto Takuya, Yamakawa Makoto, Shiina Tsuyoshi, Sato Toru
Graduate School of Informatics, Department of Communications and Computer Engineering, Kyoto University, Japan.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:5298-301. doi: 10.1109/IEMBS.2010.5626325.
For high range resolution acoustic vascular imaging we apply frequency domain interferometry and Capon method to a few frames of in-phase and quadrature (IQ) data acquired by a commercial ultrasonographic device. To suit the adaptive beamforming algorithm to medical acoustic imaging we employ three techniques; frequency averaging, whitening, and pseudo-double RF data conversion. The proposed method detected two couples of boundaries 0.26 and 0.19 mm apart using a single frame and two frames of IQ data, respectively, where each couple of boundaries is indistinguishable from a single boundary utilizing B-mode images. Further this algorithm could depict a swine femoral artery with higher range resolution than conventional B-mode imaging. These results indicate the potential of the proposed method for the range resolution improvement in ultrasonography, originating the progress in detection of vessel stenosis.
对于高分辨率声学血管成像,我们将频域干涉测量法和卡彭方法应用于由商用超声设备采集的几帧同相和正交(IQ)数据。为了使自适应波束形成算法适用于医学声学成像,我们采用了三种技术:频率平均、白化和伪双射频数据转换。所提出的方法分别使用一帧和两帧IQ数据检测到相距0.26毫米和0.19毫米的两对边界,其中利用B模式图像无法区分每对边界中的单个边界。此外,该算法能够以比传统B模式成像更高的距离分辨率描绘猪股动脉。这些结果表明了所提出的方法在超声检查中提高距离分辨率的潜力,这为血管狭窄的检测带来了进展。