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利用Contourlet变换进行双源CT图像中的二尖瓣分割
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作者 马丽丹 杨新 +2 位作者 宋薇 邱峻蔚 孙锟 《医用生物力学》 CAS CSCD 2009年第6期408-413,433,共7页
目的利用双源CT图像对心脏二尖瓣瓣膜进行了增强与分割,为日后进行二尖瓣三维重建和运动分析提供基础。方法提出了自适应种子填充法和Contourlet小波变换分别用于不同情况下的分割:首先用自适应种子填充法对双源CT胸腔图像进行心脏在造... 目的利用双源CT图像对心脏二尖瓣瓣膜进行了增强与分割,为日后进行二尖瓣三维重建和运动分析提供基础。方法提出了自适应种子填充法和Contourlet小波变换分别用于不同情况下的分割:首先用自适应种子填充法对双源CT胸腔图像进行心脏在造影剂下的区域分割,再用Contourlet小波变换对区域分割后的图像进行二尖瓣的增强和分割。结果在MATLAB7.0的环境下对双源CT图像成功进行了处理和分割,获取了清晰的心脏二尖瓣图像。结论本文提出的分割方法对不同情况下的分割非常有效,实验的结论对医生从事二尖瓣瓣膜运动研究和二尖瓣瓣膜外科手术规划提供有益的参考。 展开更多
关键词 双源ct 自适应种子填充法 CONTOURLET变换 图像分割
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Significance of an Advanced Image-Based Virtual Monoenergetic Reconstruction of Dual Source Dual-Energy CT Data at Low keV Increases Image Quality for Portal Vein System of Pancreatic Cancer Patients
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作者 Shuiqing Zhuo Sihui Zeng +1 位作者 Jingping Yu Lizhi Liu 《Journal of Cancer Therapy》 2018年第10期827-837,共11页
Purpose: To explore the significance of dual-source computed tomography (DECT) virtual monoenergetic reconstructions technology in improving image quality for portal vein system of pancreatic cancer patients. Material... Purpose: To explore the significance of dual-source computed tomography (DECT) virtual monoenergetic reconstructions technology in improving image quality for portal vein system of pancreatic cancer patients. Materials and methods: 47 patients with clinically suspected pancreatic cancer (all confirmed by pathology) were collected. Routine plain scan was performed with Siemens Force dual-source dual-energy CT followed by 3 scans respectively carried out in arterial phase, portal phase and delayed phase. Traditional virtual monoenergetic reconstructions (Mono_E) and new generation of virtual monoenergetic reconstructions (Mono+) were respectively performed on portal vein images to obtain virtual single energy images including Mono_ E70 keV, Mono_E 55 keV and Mono+ 70 keV and Mono+ 55 keV. The signal-to-noise ratio (SNR) and noise of portal vein, normal pancreatic tissues and pancreatic lesions of 100 kV, Mono_E and Mono+ images were compared. In addition, the contrast noise ratio of portal vein and lesions as well as pancreatic tissues and lesions (CNR PV, CNRtumor) were also compared. At the same time, two imaging physicians with rich clinical experiences read the films and scored the images of each group by using the 5-point scoring method. Results: Mono+ 55 keV images including SNRpv, SNRpanc, SNRtumor, Noise, CNRpv, CNRtumor were statistically different from 100 KV images and Mono_E images (P < 0.05). As for the subjective score, Mono+ 55 keV image score also had the highest score, which had statistical significance (P < 0.05). The results showed that Mono+ 55 keV images had the best quality. Conclusion: The new generation of virtual Mono+ post-treatment can reduce image noise. Low energy Mono+ images can improve the contrast between pancreatic cancer lesions and portal of pancreatic cancer patients. 展开更多
关键词 dual-source VIRTUAL Monoenergetic RECONSTRUctIONS Computed tomography PANCREATIC Tumors Portal VEIN SYSTEM ct Angiography Image Quality
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