Vectors through a cross-sectional image (VCI): A visualization method for four-dimensional motion analysis for cardiac computed tomography.

Vectors through a cross-sectional image (VCI): A visualization method for four-dimensional motion analysis for cardiac computed tomography.
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DOI:
10.1016/j.jcct.2017.09.010
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发表时间:
2017-11
影响因子:
5.4
通讯作者:
Taguchi K
Taguchi K
中科院分区:
医学3区
文献类型:
--
作者:
Kidoh M;Utsunomiya D;Funama Y;Ashikaga H;Nakaura T;Oda S;Yuki H;Hirata K;Iyama Y;Nagayama Y;Fukui T;Yamashita Y;Taguchi K

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心脏计算机断层扫描(CT)具有对心脏进行全四维(3D加时间的4D)运动分析的潜力。我们的目的是开发一种方法,用于评估和呈现多相位,对比增强心脏CT数据集的4D运动,并证明其临床适用性。4例心功能正常、陈旧性心肌梗死(OMI)、Takotsubo心肌病和肥厚性心肌病(HCM)患者使用320排CT扫描仪(无管电流调制)进行了一次心跳的对比增强心脏CT。10个心动时相(R-R间期增加10%)的CT图像以(0.5 mm)3的各向同性有效分辨率重建。之前开发的基于图像的运动估计(iME)算法已用于估计从收缩末期到其他九个相位的3D心脏运动的时间序列。iME使用分辨率为(1.0 mm)3的下采样图像,对收缩末期图像进行非刚性变形,以匹配其他相位的图像。一旦一致性最大化,iME输出为每个相位的每个体素定义的3D运动矢量,其在体素和相位上平滑地变化。所提出的可视化方法,这是所谓的“矢量通过一个横截面图像(VCI)”,提出了三维矢量从终末心室收缩末期的箭头与终末心室CT切片。我们对VCI进行了视觉评估,计算了平均向量长度,以评估局部左心室(LV)收缩。VCI图像显示了收缩期三维矢量的大小和方向,包括通过平面的运动,并成功地显示了左室壁节段和异常区域室壁运动的关系。明显观察到运动减退性梗死节段、Takotsubo心肌病和肥厚型心肌病导致的局部运动减少和不对称运动。很容易理解室壁运动异常与受累左室壁节段的关系。病变受累节段的平均向量长度明显小于其他未受累节段(1.2-1.7 mm vs 2.5-4.7 mm)。VCI图像能捕捉到室壁运动的大小和方向,并能显示室壁节段与异常室壁运动的关系。
Cardiac computed tomography (CT) has the potential for fully four-dimensional (4D for 3D plus time) motion analysis of the heart. We aimed at developing a method for assessment and presentation of the 4D motion for multi-phase, contrast-enhanced cardiac CT data sets and demonstrating its clinical applicability. Four patients with normal cardiac function, old myocardial infarction (OMI), takotsubo cardiomyopathy, and hypertrophic cardiomyopathy (HCM) underwent contrast-enhanced cardiac CT for one heartbeat using a 320-row CT scanner with no tube current modulation. CT images for 10 cardiac phases (with a 10%-increment of the R-R interval) were reconstructed with the isotropic effective resolution of (0.5 mm)3. An image-based motion-estimation (iME) algorithm, developed previously, has been used to estimate a time series of 3D cardiac motion, from the end-systole to the other nine phases. The iME uses down-sampled images with a resolution of (1.0 mm)3, deforms the end-systole images non-rigidly to match images at other phases. Once the agreement is maximized, iME outputs a 3D motion vector defined for each voxel for each phase, that smoothly changes over voxels and phases. The proposed visualization method, which is called “vectors through a cross-sectional image (VCI),” presents 3D vectors from the end-diastole to the end-systole as arrows with an end-diastole CT slice. We performed visual assessment of the VCI with calculated the mean vector lengths to evaluate regional left ventricular (LV) contraction. The VCI images showed the magnitude and direction of systolic 3D vectors, including the through-plane motion, and successfully visualized the relations of LV wall segments and abnormal regional wall motion. Decreased regional motion and asymmetric motion due to hypokinetic infarct segment, takotsubo cardiomyopathy, and hyper trophic cardiomyopathy was clearly observed. It was easy to appreciate the relation of the abnormal regional wall motion to the affected LV wall segments. The mean vector lengths of the affected segments with pathologies were clearly smaller than the other unaffected segments (1.2–1.7 mm versus 2.5–4.7 mm). VCI images could capture the magnitude and direction of through-plane motion and show the relations of LV wall segments and abnormal wall motion.
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发表时间: 2012-01-19
期刊: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
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