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三维超声图像融合技术对肝脏的影响因素 被引量:3

Influencing factors in liver on three-dimensional ultrasound single-modality images fusion technology
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摘要 目的探讨三维超声图像融合技术的影响因素,以获取最佳图像融合效果。方法纳入10名健康志愿者进行肝脏三维超声容积图像,采用基于肝脏血管树三维超声图像融合技术,对肝脏右前叶进行图像自动融合。于平静呼气末、平卧位、容积角度90°采集图像,设为对照图像,观察呼吸时相、体位、扫查切面和容积角度对该技术成功率和配准误差的影响。结果对照图像融合成功率达100%(10/10),中位配准误差为1.22mm(0.57-1.88mm);变换呼吸相、容积角度、体位及切面均不同程度降低了图像融合成功率,以体位[40.00%(4/10)]和容积角度[30.00%(3/10)]为著(P均〈0.05),变换体位和切面明显提高了中位配准误差[3.01(2.59-4.49)、2.74(1.66-4.30),P均〈0.05]。结论于同一呼吸相、同一体位、相同切面及采集最大容积角度下,三维超声图像融合技术能够获得最佳的融合效果。 Objective To explore influencing factors on three-dimensional ultrasound(3D-US)images fusion technology and to obtain ideal fusion effection.Methods 3D-US volumetric images of right hepatic anterior segment from 10 healthy volunteers were acquired and 3D-US automatic registrations based on hepatic vessel were performed in every pair of images.Control images were collected at the end of the breath under hyperthesis with volumetric scanning angle of 90°.The impact of the influencing factors including breathing,posture,intercostal and volumetric scanning angle on the technical success rate and accuracy of 3D-US automatic registrations were observed.Results In control images,the technical success rate was 100%(10/10)and median registration error distance was 1.22 mm(0.57—1.88 mm).The technical success rates were affected by each above influencing factor in different degrees,especially position and volumetric scanning angle(40.00%[4/10]and 30.00% [3/10],both P〈0.05).Change of posture and intercostal increased median registration error distanc(3.01 [2.59—4.49],2.74 [1.66—4.30],both P〈0.05].Conclusion Under the condition of the same breath,the same position,the same intercostal and maximum volumetric scanning angle,3D-US single-modality images fusion technology can obtain the ideal fused effectiveness.
出处 《中国医学影像技术》 CSCD 北大核心 2015年第1期137-140,共4页 Chinese Journal of Medical Imaging Technology
基金 国家自然科学基金面上项目(81271669) 国家自然科学青年基金(81301931)
关键词 超声检查 成像 三维 图像处理 计算机辅助 Ultrasonography Imaging three-dimensional Image processing computer-assisted Liver
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