ABSTRACT
La disección virtual es una herramienta educativa sumamente valiosa en anatomía. Es particularmente útil cuando hay escasez de cadáveres o en los casos en que la disección no sea posible por motivos religiosos o éticos. En este trabajo los autores presentan una reconstrucción 3D de un corazón masculino a partir de la información del proyecto Korean Visible Human, realizado en el marco de asociaciones de la cátedra de anatomía digital de la UNESCO creada recientemente en la Universidad Descartes. La segmentación manual de 1640 cortes anatómicos se logró a través del software Winsurf, produciendo un modelo vectorial 3D interactivo del corazón y la anatomía que lo rodea. Se reconstruyeron ochenta y cuatro estructuras, incluyendo el corazón y sus vasos (27 estructuras), tráquea, esófago, pulmones, cayado aórtico, vena cava inferior, riñones, sistema esquelético conformado por 58 estructuras, entre ellas: esternón, cartílagos costales, vértebras torácicas y discos intervertebrales, sacro, coxales y piel. El modelo vectorial 3D obtenido se exportó en formato PDF 3D produciendo una verdadera herramienta de disección virtual a través de la interfaz de Acrobat: las estructuras anatómicas pueden individualizarse y manipularse interactivamente como 84 objetos 3D separados. Además, se pueden agregar "etiquetas" con el nombre de cada elemento anatómico. Esta nueva mesa de disección virtual computarizada es una herramienta simple y poderosa tanto para alumnos como para docentes de anatomía. Además, resulta ser la base para futuras herramientas de simulación que contribuirán al entrenamiento de cirujanos
The virtual dissection is a remarkable learning tool in anatomy. It is particularly useful in the case of lack of cadavers or if anatomical dissection is impossible due to ethical or religious reasons. The authors present here a 3D reconstruction of the female's heart from the Visible Korean human data, made in the frame of the projects of the UNESCO chair of digital anatomy created recently at the Descartes University.The manual segmentation of 1640 anatomical slices was achieved with the Winsurf ® software producing an interactive 3D vectorial model of the heart and surrounding anatomy. Eighty four anatomical structures were reconstructed, including the heart and its vessels (27 structures), trachea, oesophagus, lungs, aortic arch, superior vena cava, azygos system, inferior vena cava, right and left kidneys, skeletal system (58) structures including: sternum, xiphoid process, clavicles, ribs, costal cartilage, thoracic vertebrae, intervertebrales discs, sacrum, hip bones, and femurs) and skin. The obtained 3D vectorial model was exported in 3D PDF format, producing a true virtual dissection tool through the Acrobat's interface: the anatomical structures can be individually and interactively manipulated as 84 separated 3D objects. 3D labels can be added with the name of each anatomical element. This new computerized virtual dissection table is a simple and powerful learning tool for students and anatomy teachers. It is also the basis of future simulation tools for surgeon's training
Subject(s)
Humans , Male , Adult , Cadaver , Anatomy, Cross-Sectional , Coronary Vessels , Dissection/education , Visible Human Projects , Simulation Training , Virtual Reality , Heart , Models, AnatomicABSTRACT
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.
Subject(s)
Humans , Asian People , Computer Simulation , Image Processing, Computer-Assisted , Imaging, Three-Dimensional , Liver/anatomy & histology , Models, Anatomic , Models, Biological , Portal Vein/anatomy & histology , Software , Tomography, X-Ray ComputedABSTRACT
OBJECTIVE: Unfolding is a rendering method to visualize organs at a glance by virtually incising them. Although conventional methods exploit gray-scale volume datasets such as CT or MR images, we use the Visible Korean Human dataset preserving actual color. This can be helpful for the study of anatomical knowledge. Segmented images of Visible Korean Human dataset store the boundary of organs. Since medical experts manually perform the segmentation from anatomical color images, it is very time-consuming. In general, therefore, some images selectively sampled with interval from entire color images are segmented. When we generate a segment volume dataset with the selected images, final results are deteriorated due to lack of segmentation information for missed images. In this paper, we solve this problem by generating intermediate images without performing a manual segmentation. METHODS: Firstly, after comparing differences of organ's contours in between two consecutive segmented images, we represent the differences as a user-defined value in the intermediate images. This procedure is repeated for all pairs of manually segmented images to reconstruct entire volume data consist of manually segmented images and their intermediate images. In rendering stage, we perform the radial volume ray casting along with the central path of target organ. If a ray reaches to a region having the user-defined values, we advance over the region without compositions to the boundary of that region. Then the color composition is begun by performing backtracking, since the advanced region is regarded to the thickness of it. RESULTS: As a result, we can produce high quality unfolding images for the stomach, colon, bronchus, and artery of the Visible Korea Human dataset. CONCLUSION: Since our approach can be applied to virtual dissection including actual human colors, it is helpful for the endoscopy and anatomy studies.