A real-time deformation modeling scheme of soft tissue for virtual surgical

Abstract

Surgical simulation is a promising technology for training medical students and planning procedures. Although an amount of research efforts have been dedicated to simulating the deformation of soft tissues, modeling of soft tissue deformation is still a challenging problem. From the viewpoint of real-time simulation, this paper presents a novel deformation modeling scheme based on mass-spring model for virtual soft tissue. This method limits the computation within a region of influence, of which location is changing with the location of the virtual touch probe on the surface of soft tissue. This scheme improves the computational efficiency and saves a great lot of memory. In addition, the fourth-order Runge-Kutta method is chosen as the numerical integrator of the model. The modeling approach has been integrated into a virtual palpating surgery training system and the users could control the virtual tools and manipulate the virtual organs with the haptic devices. Results show the system has achieve the level of real-time interaction.

Segmentation of finger tendon and synovial sheath in ultrasound image using deep convolutional neural network

“…Ultrasound-guided minimally invasive surgery has the advantages of fast recovery and minimal tissue damage. However, a highly experienced surgeon is required to perform the operation; therefore, surgical training and planning systems are very desirable [8][9][10][11]. The anatomical target and nearby organs or tissues are present in a 3D virtual environment, of which the user can access.…”

Virtual Reality Simulator for Training in Myringotomy with Tube Placement

“…The algorithm was based on the assumption that the tissue's deformation occurs at a very slow speed and is well damped, thus allowing inertial effects to be ignored. Other researchers have improved the MS method including optimization of the distribution of points to better model the geometry and response [51][52][53][54], optimal selection of parameters [55] and combining the method with a gas filled model simulating a tissue's internal pressure [56], and limiting computations to small regions to speed up computation [57].…”

Método de deformação elástica para simulação visual e háptica de procedimentos de punção.

“…Como o estômago é um objeto elasticamente deformável, esse responde de forma natural às forças aplicadas (ZHU et al, 2010).…”

“…Infelizmente, muitas técnicas disponíveis para a simulação de objetos deformáveis falham com relação a um dos dois aspectos (ZHU et al, 2010).…”