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DOI | 10.1007/978-3-319-75238-9_4 |
Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation | |
Fleishman, Greg M.1; Valcarcel, Alessandra2; Pham, Dzung L.3; Roy, Snehashis3; Calabresi, Peter A.4; Yushkevich, Paul1; Shinohara, Russell T.2; Oguz, Ipek1 | |
通讯作者 | Fleishman, Greg M. |
会议名称 | 3rd International Workshop on Brain-Lesion (BrainLes) held jointly at the Conference on Medical Image Computing for Computer Assisted Intervention (MICCAI) |
会议日期 | SEP 14, 2017 |
会议地点 | Quebec City, CANADA |
英文摘要 | We propose a new approach to Multiple Sclerosis lesion segmentation that utilizes synthesized images. A new method of image synthesis is considered: joint intensity fusion (JIF). JIF synthesizes an image from a library of deformably registered and intensity normalized atlases. Each location in the synthesized image is a weighted average of the registered atlases; atlas weights vary spatially. The weights are determined using the joint label fusion (JLF) framework. The primary methodological contribution is the application of JLF to MRI signal directly rather than labels. Synthesized images are then used as additional features in a lesion segmentation task using the OASIS classifier, a logistic regression model on intensities from multiple modalities. The addition of JIF synthesized images improved the Dice-Sorensen coefficient (relative to manually drawn gold standards) of lesion segmentations over the standard model segmentations by 0.0462 +/- 0.0050 (mean +/- standard deviation) at optimal threshold over all subjects and 10 separate training/testing folds. |
来源出版物 | BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2017 |
ISSN | 0302-9743 |
EISSN | 1611-3349 |
出版年 | 2018 |
卷号 | 10670 |
页码 | 43-54 |
ISBN | 978-3-319-75237-2 |
EISBN | 978-3-319-75238-9 |
出版者 | SPRINGER INTERNATIONAL PUBLISHING AG |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | USA |
收录类别 | CPCI-S |
WOS记录号 | WOS:000432603300004 |
WOS关键词 | STATISTICAL ESTIMATION ; ATLAS |
WOS类目 | Computer Science, Theory & Methods ; Clinical Neurology ; Neurosciences ; Neuroimaging |
WOS研究方向 | Computer Science ; Neurosciences & Neurology |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/307337 |
作者单位 | 1.Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA; 2.Univ Penn, Dept Biostat & Epidemiol, Philadelphia, PA 19104 USA; 3.Henry M Jackson Fdn Adv Mil Med, CNRM, Bethesda, MD 20817 USA; 4.Johns Hopkins Univ, Sch Med, Dept Neurol, Baltimore, MD 21287 USA |
推荐引用方式 GB/T 7714 | Fleishman, Greg M.,Valcarcel, Alessandra,Pham, Dzung L.,et al. Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation[C]:SPRINGER INTERNATIONAL PUBLISHING AG,2018:43-54. |
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