Improved Software to Browse the Serial Medical Images for Learning

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Abstract

The thousands of serial images used for medical pedagogy cannot be included in a printed book; they also cannot be efficiently handled by ordinary image viewer software. The purpose of this study was to provide browsing software to grasp serial medical images efficiently. The primary function of the newly programmed software was to select images using 3 types of interfaces: buttons or a horizontal scroll bar, a vertical scroll bar, and a checkbox. The secondary function was to show the names of the structures that had been outlined on the images. To confirm the functions of the software, 3 different types of image data of cadavers (sectioned and outlined images, volume models of the stomach, and photos of the dissected knees) were inputted. The browsing software was downloadable for free from the homepage (anatomy.co.kr) and available off-line. The data sets provided could be replaced by any developers for their educational achievements. We anticipate that the software will contribute to medical education by allowing users to browse a variety of images.

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Most cited references 15

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Stereotaxic display of brain lesions.

Chris Rorden, Matthew Brett (2000)

Traditionally lesion location has been reported using standard templates, text based descriptions or representative raw slices from the patient's CT or MRI scan. Each of these methods has drawbacks for the display of neuroanatomical data. One solution is to display MRI scans in the same stereotaxic space popular with researchers working in functional neuroimaging. Presenting brains in this format is useful as the slices correspond to the standard anatomical atlases used by neuroimagers. In addition, lesion position and volume are directly comparable across patients. This article describes freely available software for presenting stereotaxically aligned patient scans. This article focuses on MRI scans, but many of these tools are also applicable to other modalities (e.g. CT, PET and SPECT). We suggest that this technique of presenting lesions in terms of images normalized to standard stereotaxic space should become the standard for neuropsychological studies.

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Visible Korean human: improved serially sectioned images of the entire body.

Jin Seo Park, Min Suk Chung, Sung Bae Hwang … (2005)

The data from the Visible Human Project (VHP) and the Chinese Visible Human (CVH), which are the serially sectioned images of the entire cadaver, are being used to produce three-dimensional (3-D) images and software. The purpose of our research, the Visible Korean Human (VKH), is to produce an enhanced version of the serially sectioned images of an entire cadaver that can be used to upgrade the 3-D images and software. These improvements are achieved without drastically changing the methods developed for the VHP and CVH; thus, a complementary solution was found. A Korean male cadaver was chosen without anything perfused into the cadaver; the entire body was magnetic resonance (MR) and computed tomography (CT) scanned at 1.0-mm intervals to produce MR and CT images. After scanning, entire body of the cadaver was embedded and serially sectioned at 0.2-mm intervals; each sectioned surface was inputted into a personal computer to produce anatomical images (pixel size: 0.2 mm) without any missing images. Eleven anatomical organs in the anatomical images were segmented to produce segmented images. The anatomical and segmented images were stacked and reconstructed to produce 3-D images. The VKH is an ongoing research; we will produce a female version of the VKH and provide more detailed segmented images. The data from the VHP, CVH, and VKH will provide valuable resources to the medical image library of 3-D images and software in the field of medical education and clinical trials.

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Teaching anatomy: cadavers vs. computers?

Lucas Ignacio Caussa, Luis Esteban Criado del Río, Susana Norma Biasutto (2006)

Our study was aimed to show if cadaver dissections are still important in the Anatomy Course for medical students or whether computerized resources could replace them. We followed three groups, one of them (698 students) proceeded through the Anatomy Course in a traditional way, meaning, with cadaver material enough to observe all the regions and structures; the second group (330 students) used many technological resources but not cadaver dissections; and the third group (145 students) followed the course, recently, with the same program but with both practical resources. Theoretical contents were developed in the same way and by the same professor. The traditional teaching group obtained better results than the technologically supported group, evaluated by the number of students that passed their exams. The third group results were better than the others, with regard to passed exams and marks. Even when computerized improvements have developed a new area giving students a lot of elements to facilitate their approach to imaging structures, the possibility of direct contact with tissues and anatomical elements cannot yet be replaced. We are demonstrating that the best possibility is the correct association of all these resources to complement one another.

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Author and article information

Journal

Journal ID (nlm-ta): J Korean Med Sci

Journal ID (iso-abbrev): J. Korean Med. Sci

Journal ID (publisher-id): JKMS

Title: Journal of Korean Medical Science

Publisher: The Korean Academy of Medical Sciences

ISSN (Print): 1011-8934

ISSN (Electronic): 1598-6357

Publication date (Print): July 2017

Publication date (Electronic): 26 May 2017

Volume: 32

Issue: 7

Pages: 1195-1201

Affiliations

[1 ]Department of Computer Engineering, Inha University, Incheon, Korea.

[2 ]Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.

[3 ]Department of Anatomy, Dongguk University School of Medicine, Gyeongju, Korea.

Author notes

Address for Correspondence: Beom Sun Chung, MD. Department of Anatomy, Ajou University School of Medicine, 164 World cup-ro, Yeongtong-gu, Suwon 16499, Republic of Korea. bschung@ 123456ajou.ac.kr

Author information

Koojoo Kwon https://orcid.org/0000-0002-2467-5809

Min Suk Chung https://orcid.org/0000-0002-0527-9763

Jin Seo Park https://orcid.org/0000-0001-7956-4148

Byeong-Seok Shin https://orcid.org/0000-0001-7742-4846

Beom Sun Chung https://orcid.org/0000-0002-3644-9120

Article

DOI: 10.3346/jkms.2017.32.7.1195

PMC ID: 5461326

PubMed ID: 28581279

SO-VID: d5aed1ef-094f-4e76-bb49-440947fa7ff0

License:

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

History

Date received : 07 February 2017

Date accepted : 16 April 2017

Funding

Funded by: National Research Foundation of Korea, CrossRef http://dx.doi.org/10.13039/501100003725;

Award ID: 2015R1A2A2A01008248

Funded by: Ministry of Trade, Industry and Energy, CrossRef http://dx.doi.org/10.13039/501100003052;

Award ID: N0002249

Funded by: Korea Institute for Advancement of Technology, CrossRef http://dx.doi.org/10.13039/501100003661;

Improved Software to Browse the Serial Medical Images for Learning

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Abstract

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Journal of Medical Education Research

Most cited references 15

Stereotaxic display of brain lesions.

Visible Korean human: improved serially sectioned images of the entire body.

Teaching anatomy: cadavers vs. computers?

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