| 陈思楷,周青,周燕翔,宋宏宁,邓倾,杨远婷,陈金玲.基于超声-CT图像的心脏影像融合数据处理方法[J].中国医学影像技术,2019,35(9):1310~1314 |
| 基于超声-CT图像的心脏影像融合数据处理方法 |
| Methods of heart data based on ultrasound-CT cardiac image fusion |
| 投稿时间：2019-01-31 修订日期：2019-07-22 |
| DOI：10.13929/j.1003-3289.201901202 |
| 中文关键词: 心脏 图像融合 动物实验 超声检查 体层摄影术,X线计算机 |
| 英文关键词:heart image fusion animal experimentation ultrasonography tomography, X-ray computed |
| 基金项目:国家自然科学基金（81771849）、湖北省卫生和计划生育委员会青年人才项目（WJ2017Q009）、武汉大学自主科研项目（2042018kf0099）。 |
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| 中文摘要: |
| 目的 应用多模态心脏影像融合技术进行动物实验，获取超声-CT心脏影像融合方法和检验指标，并通过临床试验验证其可行性。方法 采集6只比格犬心脏CT增强图像和超声心脏瓣膜容积图像，使用Mimics innovationsuite 19.0及3-Matic 11.0软件将各配准点及瓣环平面对齐，将超声心脏瓣膜图像融合至CT心脏腔室上，于融合图像和心脏标本中测量配准指标：二尖瓣前外侧联合点（ALC）、后内侧联合点（PIC）、主动脉瓣闭合口（AVC）到心尖部的最大径（D-ALC、D-PIC、D-AVC）及二尖瓣环平面与主动脉瓣环平面夹角（AMA）。对41例心房颤动患者行CT和经食管超声检查，采用同样方法处理图像，并测量基于CT图像和基于CT-超声融合图像的配准指标。结果 动物实验中，超声-CT心脏影像融合成功，融合图像与心脏标本中测量D-ALC、D-PIC、D-AVC和AMA差异均无统计学意义（P均>0.05）。对41例患者均成功完成超声-CT心脏影像融合配准，临床融合组与临床CT组间D-ALC、D-PIC、D-AVC和AMA测量值差异均无统计学意义（P均>0.05）。图像融合后AMA差值在5°以内者占92.68%（38/41），D-ALC、D-PIC、D-AVC差值百分比均在5%以内者占87.80%（36/41）。结论 采用以瓣环为解剖定位标志的内部特征法进行心脏CT-超声影像融合可行且准确；AMA和瓣环平面与心尖部距离差值可作为检测配准准确性的指标。 |
| 英文摘要: |
| Objective To obtain ultrasound-CT cardiac imaging fusion methods and test indicators by using multi-modal cardiac image fusion technology during animal experiment, and to verify the feasibility of this method with clinical experiment. Methods For animal experiment, heart CT images and ultrasound heart valve volume images of 6 Beagle dogs were collected. The alignment points and the annulus planes were aligned using Mimics innovationsuite 19.0 and 3-Matic 11.0 software, and ultrasound heart valve images were fused to CT heart chamber, the registration index was measured in the fused image and the cardiac specimen. The index included the maximum diameter of anterior lateral combination (ALC) of mitral valve to apex (D-ALC), the posterior interior combination (PIC) of mitral valve to apex (D-PIC) and the aortic valve closure (AVC) to apex (D-AVC), and the angle between the plane of mitral annulus and aortic annulus (AMA). In clinical trials, 41 patients with atrial fibrillation underwent CT and transesophageal echocardiography. The images were processed in the same way, and the registration indexes were measured based on CT images and CT-ultrasound fusion images. Results In animal experiment, the ultrasound-CT images were successfully registered. There was no significant difference in D-ALC, D-PIC, D-AVC nor AMA between the fusion image and the cardiac specimen (all P>0.05). In clinical trials, ultrasound-CT cardiac image fusion registration was successfully performed in all 41 patients. There was no significant difference of D-ALC, D-PIC, D-AVC nor AMA between clinical fusion images and clinical CT images (all P>0.05). After image fusion, 92.68% (38/41) of AMA difference was within 5°, and 87.80% (36/41) of D-ALC, D-PIC, D-AVC difference percentages were within 5%. Conclusion Cardiac CT-ultrasound image fusion is feasible and accurate using the internal feature of the annulus as an anatomical landmark. The AMA and the distance between the annulus plane and the apex can be used as detection indexes for registration accuracy. |
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