Po Ming Jack, Lorsakul Auranuch, Duan Qi, Yeroushalmi Kevin J, Hyodo Eiichi, Oe Yukiko, Homma Shunichi, Laine Andrew F
Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:41-4. doi: 10.1109/IEMBS.2010.5626332.
An important goal in clinical cardiology is the non-invasive quantification of regional cardiac deformation. While many methods have been proposed for the estimation of 3D left ventricular deformation and strains derived from 4D ultrasound, currently there is a lack of in vivo clinical validation of these algorithms on humans. In this paper, we describe the experiments used in validating cardiac deformation and strain estimates of 4D ultrasound using correlation-based optical flow tracking on two different COPD patients with normal left ventricular function. Validation of the algorithm was done by 1) validation of cardiac volume across multiple scans of the same patient and 2) validation of the repeatability of cardiac displacement and strain results from multiple scan acquisitions of the same patient. The preliminary results are encouraging with our algorithm producing consistent cardiac volume and strain results across multiple acquisitions. Furthermore, our derived 4D cardiac strains showed qualitatively correct results. We also observed particularly interesting results in the radial displacements of the posterior and lateral walls of our COPD patients.
临床心脏病学的一个重要目标是对局部心脏变形进行无创量化。虽然已经提出了许多方法来估计从4D超声得出的三维左心室变形和应变,但目前这些算法在人体上缺乏体内临床验证。在本文中,我们描述了在两名左心室功能正常的不同慢性阻塞性肺疾病(COPD)患者身上,使用基于相关性的光流跟踪技术来验证4D超声心脏变形和应变估计的实验。该算法的验证通过以下方式进行:1)在同一患者的多次扫描中验证心脏容积;2)在同一患者的多次扫描采集中验证心脏位移和应变结果的可重复性。初步结果令人鼓舞,我们的算法在多次采集中产生了一致的心脏容积和应变结果。此外,我们得出的4D心脏应变显示出定性正确的结果。我们还在COPD患者的后壁和侧壁的径向位移中观察到了特别有趣的结果。