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SUMMARY: The sectional anatomy of a cat head is essential when interpreting CTs and MRIs of the region. In learning the sectional anatomy, sectioned images of a cat could be quite effective data. The main objective was to assist veterinary physicians who learn the sectional anatomy of a cat head by presenting high-quality sectioned images. A short-haired female cat was frozen and sectioned frontally using a cryomacrotome. Every sectioned surface in real body color was photographed with a digital camera. The frontal planes were stacked to produce dorsal and sagittal planes. High-quality sectioned images of a cat head allowed the identification of small, complicated structures. The notable structures were as follows: each bone of the cranium, structures of the brain, tympanic cavity (larger than human), oval window (larger than human), vestibular nerve, cochlear nerve, ear ossicles, six extraocular muscles, pupil (larger than human), retractor bulbi muscle (not found in human), optic nerve, olfactory bulb (considerably large), vomeronasal organ duct (not found in human), infraorbital gland (not found in human), masticatory muscles (larger than human), maxillary nerve (larger than human), and mandibular nerve. This pacesetting report describes the detailed head structures of a cat from the viewpoint of sectional anatomy. The sectioned images will be given to other interested researchers free of charge.

SUMMARY: The purpose of this research was to enable anyone to learn the sectional anatomy of the head anywhere, anytime by presenting software to browse sectioned images on a Google Android mobile device. Among the 2,343 sectioned images at 0.1 mm intervals, 234 sectioned images at 1 mm intervals were chosen. The corresponding 234 segmented images containing 236 head structures were selected. The software of the mobile version was programmed and debugged in the Java programming language. The folders of the sectioned images and segmented images and the txt file of the segmentation data were arranged in the source code of the software. The software was distributed free of charge at the homepage (neuroanatomy.kr) and Google Play Store. After installing the software, the sectioned images and corresponding segmented images could be browsed by touching and swiping the screen. In the medical category of the Google Play Store, the software earned a good reputation. The software of the Android mobile version was usable regardless of the time and place. The software is under the authors’ non-commercial policy. Other investigators may modify the mobile software to browse their own images. The mobile version of the software will aid medical students and doctors in learning sectional anatomy.

The Korean spine geometry and property data for researchers were made by KISTI and Catholic Institute for Applied Anatomy. We took whole spine CT, X-Ray, BMD scan for making high resolution cross-sectional spine images using more 20 donated cadavers(60 - 80 years). Then we constructed 3-dimensional volume model using serial CT images by Mimics software. The major morphometric parameters of vertebrae were measured. Mechanical motion and property data were obtained by the same cadavers using the DEXA for BMD and the spine simulator. The Korean spine geometry and property data could be used for research and development of medical device.

The KISTI (Korea Institute of Science and Technology Information) began to produce the Korean human information called Visible Korean and Digital Korean since 2000 because there was no human information in Korea which could represent the physical characteristics of Korean human body. The Visible Korean consists of CT, MR, sectioned and segmented images of Korean human body. We obtained the serially sectioned images by grinding the Korean cadaver in horizontal direction and segmented these images by outlining the inner organs of human. We have produced the sectioned images of Korean male whole body, male head, and female pelvis in2008. The segmentation and 3D reconstruction of these images are now in proceeding. The Digital Korean consists of CT images of about 100 Korean cadavers. These CT images were segmented by individual bone, reconstructed to produce the 3D bone models and the skin surface model was also added. The mechanical properties of individual bones were obtained by measuring the property of individual bone sample. We have distributed these Korean human informations to users in domestic and abroad. About 70 institutes in domestic, and 20 institutes in abroad have used our data in research use and nearly 160 proceedings and articles were published since 2001. We think these human informations have a role of medical information infrastructure that could be used in the field of medical education, biomechanics, virtual reality etc.

KISTI is carrying out an e-Spine project for spinal diseases to prepare for the aged society, so-called NAP. The purpose of the study is to build a spine ontology that represents the anatomical structure and disease information which is compatible with simulation model of KISTI. The final use of the ontology includes diagnosis of diseases and setting treatment directions by the clinicians. The ontology was represented using 3D software. Twenty diseases were selected to be represented after discussions with a spine specialist. Several ontology studies were reviewed, reference books were selected for each disease and were organized in MS Excel. All the contents were then reviewed by the specialists. Altova SemanticWorks and Protégé were used to code spine ontology with OWL Full model. Links to the images from KISTI and sample images of diseases were included in the ontology. The OWL ontology was also reviewed by the specialists again with Protégé. We represented unidirectional ontology from anatomical structure to disease, images, and treatment. The ontology was human understandable. It would be useful for the education of medical students or residents studying diseases of spine. But in order for the computer to understand the ontology, a new model with OWL DL or Lite is needed.

The Visible Korean research team used Mimics software (Materialise, Leuven, Belgium) for the segmentation and subsequent surface reconstruction of heart structures using information obtained from sectioned images of a cadaver. Twenty-six heart components were outlined in advance on Photoshop (Adobe Systems, San Jose, CA, USA). By use of the Mimics, the outlined images were then browsed along with the vertical planes as well as the 3-dimensional surface models, which were immediately built by piling the images. Erroneous delineation was readily detected and revised until satisfactory heart models were acquired. The surface models and the selected sectioned images in horizontal, coronal, and sagittal planes were inputted into a PDF file, where any combinations of reconstructed constituents could be displayed and rotated by the user. Mimics software accelerated the segmentation and surface reconstruction of heart anatomical structures. Similar benefits hopefully result from various serial images of other organs. The PDF file, and plane and stereoscopic image data are being distributed to others, and should prove valuable for medical students and clinicians.

Many people are interested in medical information because they want to take care of their health by themselves. Thus, some institutions provide medical term search services to help their understanding about difficult medical terms. However, those services are suffered from the low quality of search results because simple keyword search technologies are applied to medical term databases and Web sites. To prevent unnecessary spinal surgery and to support scientific diagnosis of spinal diseases and systematic prediction of treatment effects, we have been developing e-spine, which is a computerized simulation model of human spines. In this paper, as a background data for realizing e-spine, we have collected spine data from 77 cadavers and 298 patients with normal spine or degenerative spinal diseases. The spine data consists of 2D images such as CT, MRI, or X-ray, 3D shapes, geometry data and property data. Especially, we propose our database and the bioinformatics linked data based spine information retrieval service that provides more user-friendly services and very precise results. To provide abundant medical knowledge, our service provides search results of MeSH, OMIM, UniProt, GeneOntology and DBpedia. Also, the search results of PubMed are displayed to provide the related papers and books. As a result, our database will offer great value and utility in the diagnosis, treatment, and rehabilitation of patients suffering from spinal diseases.

KISTI is carrying out an e-Spine project for spinal diseases to prepare for the aged society, so called NAP.

Unlike volume models, surface models, which are empty three-dimensional images, have small file size, so that they can be displayed, rotated, and modified in a real time. For the reason, the surface models of liver and neighboring structures can be effectively applied to virtual hepatic segmentectomy, virtual laparoscopic cholecystectomy, and so on. The purpose of this research is to present surface models of detailed structures inside and outside the liver, which promote medical simulation systems. Forty-seven chosen structures were liver structures such as portal triad, hepatic vein, and neighboring structures such as the stomach, duodenum, muscles, bones, and skin. The structures were outlined in the serially sectioned images from the Visible Korean Human to prepare segmented images. From the segmented images, serial outlines of each structure were stacked; on the popular commercial software, advanced surface reconstruction technique was applied to build surface model of the structure. A surface model of the liver was divided into eight models of hepatic segments according to distribution of the portal vein. The surface models will be distributed to encourage researchers to develop the various kinds of medical simulation of the abdomen.