DYNAMIC LINEAR LEVEL OCTREE-BASED VOLUME RENDERING METHODS FOR INTERACTIVE MICROSURGICAL SIMULATION

2006 ◽  
Vol 06 (02) ◽  
pp. 155-171 ◽  
Author(s):  
ZHENLAN WANG ◽  
CHEE-KONG CHUI ◽  
YIYU CAI ◽  
CHUAN-HENG ANG ◽  
SWEE-HIN TEOH

Microsurgery is a highly complex surgical procedure on small body parts performed by a dedicated surgical team. An operating microscope is typically used to obtain a precise view of the soft tissues. The complexity of the microsurgical procedure makes it a suitable application of virtual/augmented reality technology for training purpose. In this paper, we present an overview of our simulator and then describe in details the visualization work that reconstructs the magnified view of the operating area from medical images. The visualization component is based entirely on our newly proposed dynamic linear level octree (DLLO)-based volume rendering methods. In comparison with the conventional ray casting algorithms, our computational method achieves fast rendering speed, reduces hardware requirement and combines surface-volume rendering for realistic and interactive PC-based medical simulations. The new algorithms are suitable for rendering dynamic medical data which are increasingly popular clinically.

Behaviour ◽  
2021 ◽  
pp. 1-6
Author(s):  
Bing Dong ◽  
Yirong Wang ◽  
Qin Li ◽  
Zhanqi Chen

Abstract Anti-predator outgrowths are found prevalent in animals such as stinging spines of caterpillars. However, an encounter with a predator is usually fatal as caterpillars would die easily even if just small body parts were taken. Here, we showed the larvae of Phrixolepia sp. did not get injured when the fleshy but not urticating scoli were removed. By showing the morphologic traits, we assume these particular scoli function as enlarged warning signals and substitute to be attacked so that caterpillars can warn multiple predators, with a lower chance of getting injured when encountering natural enemies, such as birds and carabid beetles.


2016 ◽  
Vol 3 (12) ◽  
pp. 160766 ◽  
Author(s):  
Takuya Umedachi ◽  
Takeshi Kano ◽  
Akio Ishiguro ◽  
Barry A. Trimmer

All animals use mechanosensors to help them move in complex and changing environments. With few exceptions, these sensors are embedded in soft tissues that deform in normal use such that sensory feedback results from the interaction of an animal with its environment. Useful information about the environment is expected to be embedded in the mechanical responses of the tissues during movements. To explore how such sensory information can be used to control movements, we have developed a soft-bodied crawling robot inspired by a highly tractable animal model, the tobacco hornworm Manduca sexta . This robot uses deformations of its body to detect changes in friction force on a substrate. This information is used to provide local sensory feedback for coupled oscillators that control the robot's locomotion. The validity of the control strategy is demonstrated with both simulation and a highly deformable three-dimensionally printed soft robot. The results show that very simple oscillators are able to generate propagating waves and crawling/inching locomotion through the interplay of deformation in different body parts in a fully decentralized manner. Additionally, we confirmed numerically and experimentally that the gait pattern can switch depending on the surface contact points. These results are expected to help in the design of adaptable, robust locomotion control systems for soft robots and also suggest testable hypotheses about how soft animals use sensory feedback.


Author(s):  
JIANLONG ZHOU ◽  
ZHIYAN WANG ◽  
KLAUS D. TÖNNIES

In this paper, a new approach named focal region-based volume rendering for visualizing internal structures of volumetric data is presented. This approach presents volumetric information through integrating context information as the structure analysis of the data set with a lens-like focal region rendering to show more detailed information. This feature-based approach contains three main components: (i) A feature extraction model using 3D image processing techniques to explore the structure of objects to provide contextual information; (ii) An efficient ray-bounded volume ray casting rendering to provide the detailed information of the volume of interest in the focal region; (iii) The tools used to manipulate focal regions to make this approach more flexible. The approach provides a powerful framework for producing detailed information from volumetric data. Providing contextual information and focal region renditions at the same time has the advantages of easy to understand and comprehend volume information for the scientist. The interaction techniques provided in this approach make the focal region-based volume rendering more flexible and easy to use.


2020 ◽  
Vol 20 (2) ◽  
pp. 399
Author(s):  
Zifriyanthi Minanda Putri ◽  
Ilfa Khairina ◽  
Randy Refnandes

Most of the health workers are nursing staff, nursing profession demands high physical activity ranks second after industrial workers. Musculoskeletal disorders often occur in health workers, nurses have a higher risk of experiencing the disorder. Musculoskeletal disorders are disorders that occur in the muscles, bones, tendons, blood vessels, nervous system, and other soft tissues. The purpose of this study was to determine the picture of musculoskeletal disorders in nurses in General Hospital. Dr. M. Djamil Padang. Research Methods: The method used in this research is descriptive. The number of samples in this study were 132 people. The sample selection in this study was the proportional random sampling method. The results showed that more than half (81.1%) nurses experienced musculoskeletal disorders. Musculoskeletal disorders complained of body parts: shoulders 49.2%, neck and lower back 41.7%, and upper back 32.6%. It is expected that nurses can identify the incidence of musculoskeletal disorders due to work and immediately report to management for further prevention.


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