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Software for browsing sectioned images of a dog body and generating a 3D model.
Anat Rec (Hoboken). 2016 Jan; 299(1):81-7.AR

Abstract

The goals of this study were (1) to provide accessible and instructive browsing software for sectioned images and a portable document format (PDF) file that includes three-dimensional (3D) models of an entire dog body and (2) to develop techniques for segmentation and 3D modeling that would enable an investigator to perform these tasks without the aid of a computer engineer. To achieve these goals, relatively important or large structures in the sectioned images were outlined to generate segmented images. The sectioned and segmented images were then packaged into browsing software. In this software, structures in the sectioned images are shown in detail and in real color. After 3D models were made from the segmented images, the 3D models were exported into a PDF file. In this format, the 3D models could be manipulated freely. The browsing software and PDF file are available for study by students, for lecture for teachers, and for training for clinicians. These files will be helpful for anatomical study by and clinical training of veterinary students and clinicians. Furthermore, these techniques will be useful for researchers who study two-dimensional images and 3D models.

Authors+Show Affiliations

Department of Anatomy, College of Medicine, Dongguk University, Gyeongju, Republic of Korea.Department of Anatomy, College of Medicine, Dongguk University, Gyeongju, Republic of Korea.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

26219434

Citation

Park, Jin Seo, and Yong Wook Jung. "Software for Browsing Sectioned Images of a Dog Body and Generating a 3D Model." Anatomical Record (Hoboken, N.J. : 2007), vol. 299, no. 1, 2016, pp. 81-7.
Park JS, Jung YW. Software for browsing sectioned images of a dog body and generating a 3D model. Anat Rec (Hoboken). 2016;299(1):81-7.
Park, J. S., & Jung, Y. W. (2016). Software for browsing sectioned images of a dog body and generating a 3D model. Anatomical Record (Hoboken, N.J. : 2007), 299(1), 81-7. https://doi.org/10.1002/ar.23200
Park JS, Jung YW. Software for Browsing Sectioned Images of a Dog Body and Generating a 3D Model. Anat Rec (Hoboken). 2016;299(1):81-7. PubMed PMID: 26219434.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Software for browsing sectioned images of a dog body and generating a 3D model. AU - Park,Jin Seo, AU - Jung,Yong Wook, Y1 - 2015/08/10/ PY - 2014/12/10/received PY - 2015/04/29/revised PY - 2015/05/11/accepted PY - 2015/7/30/entrez PY - 2015/7/30/pubmed PY - 2016/10/12/medline KW - cross-sectional anatomy KW - dog KW - magnetic resonance imaging KW - three-dimensional imaging KW - whole body imaging SP - 81 EP - 7 JF - Anatomical record (Hoboken, N.J. : 2007) JO - Anat Rec (Hoboken) VL - 299 IS - 1 N2 - The goals of this study were (1) to provide accessible and instructive browsing software for sectioned images and a portable document format (PDF) file that includes three-dimensional (3D) models of an entire dog body and (2) to develop techniques for segmentation and 3D modeling that would enable an investigator to perform these tasks without the aid of a computer engineer. To achieve these goals, relatively important or large structures in the sectioned images were outlined to generate segmented images. The sectioned and segmented images were then packaged into browsing software. In this software, structures in the sectioned images are shown in detail and in real color. After 3D models were made from the segmented images, the 3D models were exported into a PDF file. In this format, the 3D models could be manipulated freely. The browsing software and PDF file are available for study by students, for lecture for teachers, and for training for clinicians. These files will be helpful for anatomical study by and clinical training of veterinary students and clinicians. Furthermore, these techniques will be useful for researchers who study two-dimensional images and 3D models. SN - 1932-8494 UR - https://www.unboundmedicine.com/medline/citation/26219434/Software_for_browsing_sectioned_images_of_a_dog_body_and_generating_a_3D_model_ L2 - https://doi.org/10.1002/ar.23200 DB - PRIME DP - Unbound Medicine ER -