Literature DB >> 16003588

Technical report on semiautomatic segmentation using the Adobe Photoshop.

Jin Seo Park1, Min Suk Chung, Sung Bae Hwang, Yong Sook Lee, Dong-Hwan Har.   

Abstract

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.

Entities:  

Mesh:

Year:  2005        PMID: 16003588      PMCID: PMC3046725          DOI: 10.1007/s10278-005-6704-1

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  11 in total

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Journal:  Comput Med Imaging Graph       Date:  2000 May-Jun       Impact factor: 4.790

4.  Development of a human body model for numerical calculation of electrical fields.

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Journal:  Comput Med Imaging Graph       Date:  2000 May-Jun       Impact factor: 4.790

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Authors:  A Pommert; K H Höhne; B Pflesser; E Richter; M Riemer; T Schiemann; R Schubert; U Schumacher; U Tiede
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10.  Visible Korean human: improved serially sectioned images of the entire body.

Authors:  Jin Seo Park; Min Suk Chung; Sung Bae Hwang; Yong Sook Lee; Dong-Hwan Har; Hyung Seon Park
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  19 in total

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5.  Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution.

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6.  Clinical Applications of a CT Window Blending Algorithm: RADIO (Relative Attenuation-Dependent Image Overlay).

Authors:  Jacob C Mandell; Bharti Khurana; Les R Folio; Hyewon Hyun; Stacy E Smith; Ruth M Dunne; Katherine P Andriole
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

7.  Segmentation of cerebral gyri in the sectioned images by referring to volume model.

Authors:  Jin Seo Park; Min Suk Chung; Je-Geun Chi; Hyo Seok Park; Dong Sun Shin
Journal:  J Korean Med Sci       Date:  2010-11-24       Impact factor: 2.153

8.  A Systematic Review of Three-Dimensional Printing in Liver Disease.

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Journal:  J Digit Imaging       Date:  2018-10       Impact factor: 4.056

9.  Portable document format file showing the surface models of cadaver whole body.

Authors:  Dong Sun Shin; Min Suk Chung; Jin Seo Park; Hyung Seon Park; Sangho Lee; Young Lae Moon; Hae Gwon Jang
Journal:  J Korean Med Sci       Date:  2012-07-25       Impact factor: 2.153

10.  Digital templating and preoperative deformity analysis with standard imaging software.

Authors:  Amir A Jamali
Journal:  Clin Orthop Relat Res       Date:  2009-05-15       Impact factor: 4.176

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