Sectioned images of a cat head to contribute to learning of its sectional anatomy / Imágenes seccionadas de una cabeza de gato para contribuir al conocimiento de su anatomía seccional

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.

El conocimiento de la anatomía seccional de cabeza de gato es esencial para interpretar estudios por tomografía computada y resonancia magnética de la región. En el conocimiento de esta anatomía seccional, las imágenes seccionadas de un gato podrían aportar datos bastante efectivos. El objetivo principal consistió en ayudar a los médicos veterinarios para que aprendan la anatomía seccional de una cabeza de gato mediante la presentación de imágenes seccionadas de alta calidad. Una gata de pelo corto fue congelada y seccionada frontalmente usando un criomicrótomo. Cada sección, con el color real del cuerpo, fue fotografiada con una cámara digital. Los planos frontales se apilaron para producir planos dorsales y sagitales. Las imágenes seccionadas de alta calidad de una cabeza de gato permitieron la identificación de estructuras pequeñas y de dificil visualización. Las estructuras destacadas fueron las siguientes: cada hueso del cráneo, las estructuras del cerebro, la cavidad timpánica (más grande que en el humano), la ventana oval (más grande que en el humano), el nervio vestibular, el nervio coclear, los huesecillos del oído, seis músculos extraoculares, la pupila, el músculo retractor del ojo (no se encuentra en el ser humano), nervio óptico, bulbo olfatorio (considerablemente grande), conducto del órgano vomeronasal (no se encuentra en el ser humano), glándula infraorbitaria (no se encuentra en los humanos), músculos masticatorios (más grandes que en el humano), nervio maxilar (más grande que en el humano) y nervio mandibular. En este trabajo describimos detalladamente, desde el punto de vista de la anatomía seccional, las estructuras de la cabeza de un gato. Las imágenes seccionadas estarán a disponibles para otros investigadores en forma gratuita.

Browsing software of the head sectioned images for the android mobile device / Software de navegación para el dispositivo móvil android de imágenes seccionadas de cabeza

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.

RESUMEN: El propósito de esta investigación fue permitir que toda persona aprendiera la anatomía de secciones de la cabeza, en cualquier lugar y en cualquier momento, a través de un software para examinar imágenes seccionadas en un dispositivo móvil Android de Google. De las 2.343 imágenes seccionadas a intervalos de 0,1 mm, se seleccionaron 234 imágenes seccionadas a intervalos de 1 mm. Se seleccionaron las 234 imágenes segmentadas que contenían 236 estructuras de cabeza. El software de la versión móvil fue programado y depurado en el lenguaje de programación Java. Las carpetas de las imágenes seccionadas y las imágenes segmentadas y el archivo .txt de los datos de segmentación se organizaron en el código fuente del software. El software se distribuyó gratuitamente en la página principal (neuroanatomy.kr) y Google Play Store. Después de instalar el software, las imágenes seccionadas y las imágenes segmentadas correspondientes se pueden navegar tocando y deslizando la pantalla. En la categoría médica de Google Play Store, el software obtuvo buena recepción. El software de la versión móvil de Android fue utilizado independientemente de la hora y el lugar. El software está bajo la política no comercial de los autores. Otros investigadores pueden modificar el software móvil para navegar por sus propias imágenes. La versión móvil del software ayudará a los estudiantes de medicina y los médicos en el aprendizaje de la anatomía seccional.

Hip joint ligaments, a cadaver imaging study for education / Ligamentos de cadera, un estudio cadavérico imagenológico para educación

The stereoscopic morphology of the iliofemoral, pubofemoral, and ischiofemoral ligaments in hip joint is hard to understand, either in anatomy books or from cadaver dissection. To aid in understanding, three-dimensional models were built from the sectioned images of cadaver hip, which demonstrate fine components better than CTs and MRIs. In the female data of Visible Korean project, the ligaments and neighboring structures were recognized and outlined in detail. Successively, the outlines were stacked and reconstructed to manufacture their surface models by using the sophisticated computer method. The surface models were overlapped with the original sectioned images, which enhanced comprehension of the hip joint anatomy. With the surface models, hip joint was hyperextended to suggest the function of the ligaments. The graphic data of the surface reconstructed hip ligaments are expected to be the source of interactive simulators for anatomy and surgery of the hip joint.

La morfología estereoscópica de los ligamentos iliofemoral, pubofemoral e isquiofemoral de la articulación de la cadera es difícil de entender, ya sea a partir de lo hallado en los libros de anatomía como en la disección de cadáveres. Para ayudar en su comprensión, se construyeron modelos tridimensionales a partir de imágenes de secciones cadavéricas de la cadera, que demuestran de mejor manera los componentes finos, en comparación a las imágenes de tomografía axial computada y resonancia magnética nuclear. En los datos obtenidos del "Visible Korean Project", correspondientes a mujeres, los ligamentos de la articulación y sus estructuras vecinas fueron reconocidos y descritos en detalle. Sucesivamente, se identificaron los contornos y se reconstruyeron para la fabricación de modelos de superficie, mediante el uso de un sofisticado método informático. Los modelos de superficie se asociaron con las imágenes de sección originales, que aumentaron la comprensión de la anatomía de la articulación de la cadera. En los modelos de superficie se provocó la hipertensión de la articulación de la cadera para permitir evidenciar la función de los ligamentos. Se espera que los datos gráficos obtenidos de los modelos de superficie de los ligamentos de la cadera sirvan como fuente para el desarrollo de simuladores interactivos que permitan el estudio de la anatomía y la cirugía de la articulación de la cadera.

Three-dimensional surface models of detailed lumbosacral structures reconstructed from the Visible Korean.

Unlike volume models, surface models representing hollow, three-dimensional images have a small file size; allowing them to be displayed, rotated, and modified in real time. Therefore, surface models of lumbosacral structures can be effectively used for interactive simulation of, e.g., virtual lumbar puncture, virtual surgery of herniated lumbar discs, and virtual epidural anesthesia. In this paper, we present surface models of extensive lumbosacral structures which can be used in medical simulation systems. One-hundred and thirty-eight chosen structures included the spinal cord, lumbar and sacral nerves, vertebrae, intervertebral discs, ligaments, muscles, arteries, and skin. The structures were outlined in the sectioned images from the Visible Korean. From these outlined images, serial outlines of each structure were stacked. Adopting commercial software (3D-DOCTOR, Maya), an advanced surface reconstruction technique was applied to create a surface model of the structure. In the surface models, we observed the anatomical relationships of the lumbosacral structures (e.g., cauda equina and ligaments) in detail. Additionally, the portions of some spinal nerves that could not be outlined were drawn and added to the surface models. These constructed models will hopefully facilitate development of high quality medical simulation of the lumbosacral region.

Advanced surface reconstruction technique to build detailed surface models of the liver and neighboring structures from the Visible Korean Human.

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.

Surface model of the gastrointestinal tract constructed from the Visible Korean.

Most currently available three-dimensional surface models of human anatomic structures have been artistically created to reflect the anatomy being portrayed. We have recently undertaken, as part of our Visible Korean studies, to build objective surface models based on cross-sectional images of actual human anatomy. Objective of the present study was to elaborate surface models of the GI tract and neighboring structures that are helpful to medical simulation. The GI tract from stomach to anal canal was outlined and reconstructed from sectioned images of the Visible Korean (acomputer database containing the digitized transverse sectional images of a 33-year-old Korean man). The outlining procedure was supported by computational filtering and interpolation using commercially available software. The GI tract was divided into several parts, and each of these parts was surface reconstructed and then united with neighboring parts to produce a surface model of the complete GI tract. Surface models of about 100 neighboring structures were also prepared. The surface models produced will hopefully facilitate the development of interactive simulations for a variety of virtual abdominal surgical procedures or other educational programs. In addition, it is hoped that the improved outlining and surface reconstruction techniques described will encourage other researchers to construct similar surface models based on images obtained from different subjects.