Araki Tadashi, Ikeda Nobutaka, Dey Nilanjan, Chakraborty Sayan, Saba Luca, Kumar Dinesh, Godia Elisa Cuadrado, Jiang Xiaoyi, Gupta Ajay, Radeva Petia, Laird John R, Nicolaides Andrew, Suri Jasjit S
Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, 2-17-6 Ohashi, Meguro-ku, Tokyo, Japan.
Division of Cardiovascular Medicine, Centre for Global Health and Medicine (NCGM), 1-21-1 Toyama, Shinjuku-ku, Tokyo, Japan.
Comput Methods Programs Biomed. 2015 Feb;118(2):158-72. doi: 10.1016/j.cmpb.2014.11.006. Epub 2014 Dec 2.
In IVUS imaging, constant linear velocity and a constant angular velocity of 1800 rev/min causes displacement of the calcium in subsequent image frames. To overcome this error in intravascular ultrasound video, IVUS image frames must be registered prior to the lesion quantification. This paper presents a comprehensive comparison of four registration methods, namely: Rigid, Affine, B-Splines and Demons on five set of calcium lesion quantification parameters namely: (i) the mean lesion area, (ii) mean lesion arc, (iii) mean lesion span, (iv) mean lesion length, and (v) mean lesion distance from catheter. Using our IRB approved data of 100 patient volumes, our results shows that all four registrations showed a decrease in five calcium lesion parameters as follows: for Rigid registration, the values were: 4.92%, 5.84%, 5.89%, 5.27%, and 4.57%, respectively, for Affine registration the values were: 6.06%, 6.51%, 7.28%, 6.50%, and 5.94%, respectively, for B-Splines registration the values were: 7.35%, 8.03%, 9.54%, 8.18%, and 7.62%, respectively, and for Demons registration the five parameters were 7.32%, 8.02%, 10.11%, 7.94%, and 8.92% respectively. The relative overlap of identified lesions decreased by 5.91% in case of Rigid registration, 6.23% in case of Affine registration, 4.48% for Demons registration, whereas it increased by 3.05% in case of B-Splines registration. Rigid and Affine transformation-based registration took only 0.1936 and 0.2893 s per frame, respectively. Demons and B-Splines framework took only 0.5705 and 0.9405 s per frame, respectively, which were significantly slower than Rigid and Affine transformation based image registration.
在血管内超声(IVUS)成像中,恒定的线速度和1800转/分钟的恒定角速度会导致后续图像帧中钙的位移。为了克服血管内超声视频中的这种误差,在进行病变定量分析之前,必须对IVUS图像帧进行配准。本文对四种配准方法进行了全面比较,这四种方法分别是:刚体配准、仿射配准、B样条配准和魔鬼算法配准,同时还针对五组钙病变定量参数进行了比较,这五组参数分别是:(i)平均病变面积,(ii)平均病变弧长,(iii)平均病变跨度,(iv)平均病变长度,以及(v)病变距导管的平均距离。利用我们经机构审查委员会(IRB)批准的100例患者容积数据,我们的结果表明,所有四种配准方法都使五组钙病变参数有所降低,具体如下:对于刚体配准,这些值分别为4.92%、5.84%、5.89%、5.27%和4.57%;对于仿射配准,这些值分别为6.06%、