An EM approach to MAP solution of segmenting tissue mixture percentages with application to CT-based virtual colonoscopy.
An EM approach to MAP solution of segmenting tissue mixture percentages with application to CT-based virtual colonoscopy.
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DOI：
10.1118/1.3013591
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发表时间：
2008-12
期刊：
影响因子：
3.8
通讯作者：
Liang Z
中科院分区：
文献类型：
--
作者：
Wang S;Li L;Cohen H;Mankes S;Chen JJ;Liang Z
电子结肠清洗(ECC)是一种新兴的技术，用于从患者的腹部CT结肠摄影(CTC)图像中分割结肠腔。然而，造影剂标记的残留粪便和液体以及具有部分体积(PV)效应的混合组织分布给ECC带来了一些挑战，导致了不完全和过彻底的清洗。为了解决PV效应，研究了一种改进的最大后验期望最大化(MAP-EM)图像分割算法，该算法同时估计每个图像体素中的组织混合百分比和组织分布的统计模型参数。考虑到分割的组织混合信息超出了图像体素水平，不仅PV效应作为组织混合问题的特定情况得到了令人满意的解决，而且还可以最大限度地避免不完全和过完全的ECC原因。针对CTC的临床应用涉及从理论分析到实际验证的若干问题，提出了一种创新的初始化过程和精细化的估计策略，构建了基于MAP-EM分割的ECC流水线。根据两名放射科医生从虚拟结肠镜筛查资源中心网站下载的52项患者CTC研究，对该管道进行了评估。与我们之前的ECC管道相比，有了明显的改进。文中还给出了几个典型案例，直观地展示了ECC管道性能的改善。
Electronic colon cleansing (ECC) is an emerging technique developed to segment the colon lumen from a patient’s abdominal computed tomography colonograghy (CTC) images. However, the residue stool and fluid tagged by contrast materials as well as mixed tissue distribution with partial volume (PV) effect impose several challenges for ECC, resulting in incomplete and over-complete cleansings. To address the PV effect, this work investigated an improved maximum a posteriori expectation-maximization (MAP-EM) image segmentation algorithm which simultaneously estimates tissue mixture percentages within each image voxel and statistical model parameters for the tissue distribution. Given the segmented tissue mixture information beyond the image voxel level, not only the PV effect has been satisfactorily addressed as a particular case of tissue mixture problem, but incomplete and over-complete ECC causes could also be maximally avoided. For clinical application to CTC that involves several issues transferring from theoretical analysis to practical validation, an innovative initialization procedure and refined estimation strategy were proposed to build an ECC pipeline based on the MAP-EM segmentation. The pipeline was evaluated based on 52 patient CTC studies, downloaded from the website of the Virtual Colonoscopy Screening Resource Center, by two radiologists. A noticeable improvement over our previous ECC pipeline was documented. Several typical cases were also presented to show visually the improved performance of the presented ECC pipeline.
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影响因子：
29.4
作者：
Hara, AK;Johnson, CD;Ilstrup, DM
通讯作者：
Ilstrup, DM
影响因子：
1.8
作者：
Hong, LC;Liang, ZG;Wax, M
通讯作者：
Wax, M
影响因子：
2.6
作者：
Amin, Z;Boulos, PB;Lees, WR
通讯作者：
Lees, WR
影响因子：
19.7
作者：
Callstrom, MR;Johnson, CD;Corcoran, KE
通讯作者：
Corcoran, KE
DOI：
10.1111/j.2517-6161.1977.tb01600.x
发表时间：
1977-01-01
期刊：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL
影响因子：
--
作者：
DEMPSTER, AP;LAIRD, NM;RUBIN, DB
通讯作者：
RUBIN, DB