Patient-specific 17-segment myocardial modeling on a bull's eye map.
Patient-specific 17-segment myocardial modeling on a bull's eye map.
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DOI：
10.1120/jacmp.v17i5.6237
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发表时间：
2016-09-08
影响因子：
2.1
通讯作者：
Yang DH
中科院分区：
文献类型：
--
作者：
Jung J;Kim YH;Kim N;Yang DH
本研究的目的是开发和验证心脏计算机断层扫描（CT）定量分析软件，该软件具有患者特异性17段心肌模型，该模型使用心电图（ECG）门控心脏CT图像区分正常对照和重度主动脉瓣狭窄（AS）患者。对来自35名正常对照和144名AS患者的ECG门控心脏CT图像进行半自动分割，以创建患者特异性的17段心肌模型。然后，两名专家手动确定前室间沟和后室间沟分别为第1段和第2段之间以及第3段和第4段之间的边界，以校正模型。每个片段自动识别如下。两个边界的外角被划分为基底平面中的第1、4、5和6段，而内角划分为第2和第3段。中平面的节段被类似地划分。通过测量每个节段的面积，基于形态学边界在靶心图上定量评价节段面积分布。在所提出的模型中，严重AS患者和正常对照的节段面积存在显著差异（t检验），因为严重AS患者的间隔区域小于正常对照的间隔区域，并且差异足以将两组分开。2D节段性区域（）的能力可能等同于3D节段性分析（），用于区分两组（t检验，）。在反映患者特定形态变化方面，拟议方法优于传统的17个节段的上级方法，并且可以获得节段与AHA推荐术语之间更精确的映射。它可以用来区分早期AS患者和正常人，也有助于一目了然地了解左心室形态。PACS编号：87.57.N-、87.57.R-、87.57.qp
The purpose of this study was to develop and validate cardiac computed tomography (CT) quantitative analysis software with a patient‐specific, 17‐segment myocardial model that uses electrocardiogram (ECG)‐gated cardiac CT images to differentiate between normal controls and severe aortic stenosis (AS) patients. ECG‐gated cardiac CT images from 35 normal controls and 144 AS patients were semiautomatically segmented to create a patient‐specific, 17‐segment myocardial model. Two experts then manually determined the anterior and posterior interventricular grooves to be boundaries between the 1st and 2nd segments and between the 3rd and 4th segments, respectively, to correct the model. Each segment was automatically identified as follows. The outer angle of two boundaries was divided to differentiate the 1st, 4th, 5th, and 6th segments in the basal plane, whereas the inner angle divided the 2nd and 3rd segments. The segments of the midplane were similarly divided. Segmental area distributions were quantitatively evaluated on the bull's‐eye map on the basis of the morphological boundaries by measuring the area of each segment. Segmental areas of severe AS patients and normal controls were significantly different (t‐test, ) in the proposed model because the septal regions of the severe AS patients were smaller than those of normal controls and the difference was enough to divide the two groups. The capabilities of the 2D segmental areas () may be equivalent to those of 3D segmental analysis () for differentiating the two groups (t‐test, ). The proposed method is superior to the conventional 17‐segment in relation to reflection of patient‐specific morphological variation and allows to obtain a more precise mapping between segments and the AHA recommended nomenclature. It can be used to differentiate severer AS patients and normal controls and also helps to understand the left ventricular morphology at a glance. PACS number(s): 87.57.N‐, 87.57.R‐, 87.57.qp
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DOI：
10.1186/1532-429x-14-50
发表时间：
2012-07-28
期刊：
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
影响因子：
--
作者：
Dweck MR;Joshi S;Murigu T;Gulati A;Alpendurada F;Jabbour A;Maceira A;Roussin I;Northridge DB;Kilner PJ;Cook SA;Boon NA;Pepper J;Mohiaddin RH;Newby DE;Pennell DJ;Prasad SK
通讯作者：
Prasad SK
影响因子：
5.7
作者：
Chambers, J
通讯作者：
Chambers, J
影响因子：
37.8
作者：
Cerqueira, MD;Weissman, NJ;Verani, MS
通讯作者：
Verani, MS
影响因子：
10.6
作者：
Vincent, Luc
通讯作者：
Vincent, Luc
影响因子：
6.7
作者：
Bastarrika, Gorka;Ramos-Duran, Luis;Schoepf, U. Joseph
通讯作者：
Schoepf, U. Joseph