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Dong-Hwan Har

dblp:78/1504 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 70% Bioinformatics and computational biology · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › neuroimaging
brain imaging
0.112009
Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs · Proc. IEEE 2009
Medical and health informatics
medical imaging
0.112009
Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs · Proc. IEEE 2009
Bioinformatics and computational biology › neuroscience
neuroanatomy
0.112009
Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs · Proc. IEEE 2009
Medical and health informatics › medical imaging › medical image analysis
medical image segmentation
0.012009
Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs · Proc. IEEE 2009

Methods — techniques the papers use, named apart from their topics

volume reconstruction · 0.1ultrahigh-field MRI · 0.1serial sectioning · 0.1
YearPublicationVenuePosition
2009 Sectioned Images of the Cadaver Head Including the Brain and Correspondences With Ultrahigh Field 7.0 T MRIs
abstract
Unlike computed tomographic images and magnetic resonance images (MRIs), sectioned images of the human body with real color and high resolution have certain advantages in learning and teaching anatomy. Comparisons between sectioned images of the brain and MRIs are useful in many ways. Therefore, we prepared 312 MRIs at ultrahigh field 7.0 T (axial direction 0.4 times 0.4 times 0.4 mm3voxel size) of a cadaver brain, 2343 sectioned images (axial direction, 0.1 mm intervals, 0.1 times 0.1 mm2pixel size, and 48 bits color) by serial-sectioning the cadaver head, 234 segmented images in which brain regions were separately delineated (1 mm intervals and 0.1 times 0.1 mm2pixel size) by outlining 64 head structures in sectioned images. Three-dimensional images of 64 head structures were made by volume reconstruction from sectioned images. In this research, advanced techniques and equipment enabled us to prepare quality 7.0-T MRIs, sectioned images, and segmented images of the head. These images are expected to contribute to our understanding of the topographic neuroanatomy of the head and to aid interpretations of MRIs and CTs of the human brain.
Jin Seo Park, Min Suk Chung, Dong Sun Shin, Dong-Hwan Har, Zang-Hee Cho, Young-Bo Kim, Jae-Yong Han, Je-Geun Chi
Proc. IEEE4
2005 Visible Korean Human: Improved serially sectioned images of the entire body
abstract
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.
Jin Seo Park, Min Suk Chung, Sung Bae Hwang, Yong Sook Lee, Dong-Hwan Har, Hyung Seon Park
IEEE Trans. Medical Imaging5