AIMC Topic: Models, Anatomic

Clear Filters Showing 41 to 50 of 71 articles

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...

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...

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...

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...

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...

Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology.

PloS one
PURPOSE: Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great potential to generate hypotheses for cancer treatment, since they directly provide medical data on a large scale. In order to gather a significant am...

Master-slave robotic system for needle indentation and insertion.

Computer assisted surgery (Abingdon, England)
Bilateral control of a master-slave robotic system is a challenging issue in robotic-assisted minimally invasive surgery. It requires the knowledge on contact interaction between a surgical (slave) robot and soft tissues. This paper presents a master...

Deep reconstruction model for dynamic PET images.

PloS one
Accurate and robust tomographic reconstruction from dynamic positron emission tomography (PET) acquired data is a difficult problem. Conventional methods, such as the maximum likelihood expectation maximization (MLEM) algorithm for reconstructing the...

Fuzzy Object Skeletonization: Theory, Algorithms, and Applications.

IEEE transactions on visualization and computer graphics
Skeletonization offers a compact representation of an object while preserving important topological and geometrical features. Literature on skeletonization of binary objects is quite mature. However, challenges involved with skeletonization of fuzzy ...