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Models, Anatomic

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[Study on Prediction Model of Soft Tissue Deformation during Needle Insertion].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Polyvinyl alcohol(PVA)hydrogel was made for simulating human’s soft tissue in our experiment.The image acquisition device is composed of an optical platform,a camera and its bracket and a light source.In order to study the law of soft tissue deformat...

Tissue classification and segmentation of pressure injuries using convolutional neural networks.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: This paper presents a new approach for automatic tissue classification in pressure injuries. These wounds are localized skin damages which need frequent diagnosis and treatment. Therefore, a reliable and accurate systems fo...

Spine morphology and energetics: how principles from nature apply to robotics.

Bioinspiration & biomimetics
Inspired by the locomotive advantages that an articulated spine enables in quadrupedal animals, we explore and quantify the energetic effect that an articulated spine has in legged robots. We compare two model instances of a conceptual planar quadrup...

Design and evaluation of a deformable wing configuration for economical hovering flight of an insect-like tailless flying robot.

Bioinspiration & biomimetics
Studies on wing kinematics indicate that flapping insect wings operate at higher angles of attack (AoAs) than conventional rotary wings. Thus, effectively flying an insect-like flapping-wing micro air vehicle (FW-MAV) requires appropriate wing design...

Soft tissue deformation modelling through neural dynamics-based reaction-diffusion mechanics.

Medical & biological engineering & computing
Soft tissue deformation modelling forms the basis of development of surgical simulation, surgical planning and robotic-assisted minimally invasive surgery. This paper presents a new methodology for modelling of soft tissue deformation based on reacti...

3D/2D model-to-image registration by imitation learning for cardiac procedures.

International journal of computer assisted radiology and surgery
PURPOSE: In cardiac interventions, such as cardiac resynchronization therapy (CRT), image guidance can be enhanced by involving preoperative models. Multimodality 3D/2D registration for image guidance, however, remains a significant research challeng...

The potential for machine learning algorithms to improve and reduce the cost of 3-dimensional printing for surgical planning.

Expert review of medical devices
INTRODUCTION: 3D-printed anatomical models play an important role in medical and research settings. The recent successes of 3D anatomical models in healthcare have led many institutions to adopt the technology. However, there remain several issues th...

Toward a standard ontology of surgical process models.

International journal of computer assisted radiology and surgery
PURPOSE: The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surgery have mainly been focussing o...

Transfer learning for classification of cardiovascular tissues in histological images.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Automatic classification of healthy tissues and organs based on histology images is an open problem, mainly due to the lack of automated tools. Solutions in this regard have potential in educational medicine and medical prac...

Inferring locomotor behaviours in Miocene New World monkeys using finite element analysis, geometric morphometrics and machine-learning classification techniques applied to talar morphology.

Journal of the Royal Society, Interface
The talus is one of the most commonly preserved post-cranial elements in the platyrrhine fossil record. Talar morphology can provide information about postural adaptations because it is the anatomical structure responsible for transmitting body mass ...