Abstract | ||
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The purpose of this research is to enable users to semiautomatically segment the anatomical structures in magnetic resonance images (MRIs), computerized tomographs (CTs), and other medical images on a personal computer. The segmented images are used for making 3D images, which are helpful to medical education and research. To achieve this purpose, the following trials were performed. The entire body of a volunteer was scanned to make 557 MRIs. On Adobe Photoshop, contours of 19 anatomical structures in the MRIs were semiautomatically drawn using MAGNETIC LASSO TOOL and manually corrected using either LASSO TOOL or DIRECT SELECTION TOOL to make 557 segmented images. In a similar manner, 13 anatomical structures in 8,590 anatomical images were segmented. Proper segmentation was verified by making 3D images from the segmented images. Semiautomatic segmentation using Adobe Photoshop is expected to be widely used for segmentation of anatomical structures in various medical images. |
Year | DOI | Venue |
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2005 | 10.1007/s10278-005-6704-1 | J. Digital Imaging |
Keywords | Field | DocType |
3d imaging,image segmentation,medical education,magnetic resonance image,magnetic resonance imaging | Computer vision,Cross-Sectional Anatomy,Segmentation,Computer science,Adobe photoshop,Radiology information systems,Personal computer,Software,Artificial intelligence,Anatomical structures | Journal |
Volume | Issue | ISSN |
18 | 4 | 0897-1889 |
Citations | PageRank | References |
8 | 0.95 | 4 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jin Seo Park | 1 | 38 | 7.21 |
Min Suk Chung | 2 | 38 | 7.55 |
Sung Bae Hwang | 3 | 35 | 5.01 |
Yong Sook Lee | 4 | 35 | 4.34 |
Dong-Hwan Har | 5 | 44 | 5.57 |