Suppr超能文献

基于先验图像约束的压缩感知算法降低腹部低剂量多层 CT 图像噪声。

Reduced image noise at low-dose multidetector CT of the abdomen with prior image constrained compressed sensing algorithm.

机构信息

Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/31 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252, USA.

出版信息

Radiology. 2011 Jul;260(1):248-56. doi: 10.1148/radiol.11101380. Epub 2011 Mar 24.

Abstract

PURPOSE

To assess the effect of prior image constrained compressed sensing (PICCS) on noise reduction and image quality at low-dose computed tomography (CT).

MATERIALS AND METHODS

This HIPAA-compliant institutional review board-approved retrospective study was performed by using DICOM CT colonography data sets obtained in 20 adult patients. Informed consent was waived. Low-dose CT colonography was performed with 64-detector CT by using the standard protocol with mean effective dose per series of 3.06 mSv (range, 1.4-7.7 mSv). PICCS was applied to standard filtered back-projection (FBP) series. For FBP and PICCS series, mean and standard deviation (SD) of attenuation were obtained with 100-mm(2) circular region of interest (ROI) at six sites (240 soft-tissue, colonic gas, and subcutaneous fat measurements). Two abdominal radiologists reviewed two- and three-dimensional CT colonography displays and graded image quality with a five-point scale. Phantom studies were performed to compare spatial resolution and image quality between FBP and PICCS. Mean image noise and image quality scores were calculated and compared for clinical and phantom data sets. Bland-Altman, generalized estimating equation regression model, and Student t tests were used to obtain limits of agreement and to compare noise ratios and subjective image quality.

RESULTS

Mean SD of attenuation (image noise) for ROIs was 38.0 for FBP and 12.2 for PICCS, corresponding to a noise-reduction factor of 3.1 (P < .001). Average noise reduction was 3.3 for soft tissue, 2.8 for air, and 3.0 for fat attenuation. Attenuation did not substantially change between FBP and PICCS images. Average two-dimensional image quality was 2.45 for FBP and 3.4 for PICCS (P < .001). Average three-dimensional image quality at three sites in the colon was 3.5 for FBP and 3.7 for PICCS (P = .34). Phantom data sets revealed no loss of spatial resolution in a line phantom and reduced noise in a liver tumor phantom when PICCS was compared with FBP.

CONCLUSION

Application of PICCS to standard FBP low-dose multidetector CT abdominal images results in substantial noise reduction and improved image quality.

摘要

目的

评估先验图像约束压缩感知(PICCS)对低剂量 CT 噪声降低和图像质量的影响。

材料与方法

本 HIPAA 合规的回顾性研究使用 20 例成人患者的 DICOM CT 结肠成像数据集进行。获得了患者的知情同意豁免。使用标准协议进行低剂量 CT 结肠成像,每系列有效剂量均值为 3.06 mSv(范围 1.4-7.7 mSv)。对标准滤波反投影(FBP)系列应用 PICCS。对于 FBP 和 PICCS 系列,使用 100-mm(2)圆形感兴趣区(ROI)在六个部位(240 个软组织、结肠气和皮下脂肪测量)获得衰减的均值和标准差(SD)。两名腹部放射科医生使用五分制对二维和三维 CT 结肠成像显示进行评估,并对图像质量进行分级。进行体模研究以比较 FBP 和 PICCS 之间的空间分辨率和图像质量。计算临床和体模数据集的平均图像噪声和图像质量评分,并进行比较。使用 Bland-Altman、广义估计方程回归模型和学生 t 检验获得一致性界限,并比较噪声比和主观图像质量。

结果

FBP 和 PICCS 的 ROI 平均 SD 衰减(图像噪声)分别为 38.0 和 12.2,对应于 3.1 的噪声降低因子(P <.001)。软组织、空气和脂肪衰减的平均噪声降低分别为 3.3、2.8 和 3.0。FBP 和 PICCS 图像之间的衰减没有实质性变化。FBP 的二维图像质量平均为 2.45,PICCS 为 3.4(P <.001)。结肠三个部位的三维图像质量,FBP 为 3.5,PICCS 为 3.7(P =.34)。体模数据显示,与 FBP 相比,线体模中空间分辨率无损失,肝脏肿瘤体模中噪声降低。

结论

将 PICCS 应用于标准 FBP 低剂量多排 CT 腹部图像可显著降低噪声并提高图像质量。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验