Publications de Ehsan Arbabi | EPFL Graph Search

Sensitivity of hip tissues contact evaluation to the methods used for estimating the hip joint center of rotation

Ronan Boulic, Daniel Thalmann, Ehsan Arbabi, Jérôme Schmid

Computer-based simulations of human hip joints generally include investigating contacts happening among soft or hard tissues during hip movement. In many cases, hip movement is approximated as rotation about an estimated hip center. In this paper, we inves ...

Springer-Verlag2012

Penetration Depth Method-Novel Real-Time Strategy for Evaluating Femoroacetabular Impingement

Ronan Boulic, Daniel Thalmann, Ehsan Arbabi

We introduce a new method for computerized real-time evaluation of femoroacetabular impingement (FM). In contrast to previously presented stress analyses, this method is based on two types of predictions of penetration depths for two rotating bodies: curvi ...

Wiley-Blackwell2010

Contact modeling and collision detection in human joints

Ehsan Arbabi

Collision detection among virtual objects is one of the main concerns in virtual reality and computer graphics. Usually the methods developed for collision detection are for either very general cases or very specific applications. The first main goal of th ...

EPFL2009

Estimating Hip Joint Contact Pressure from Geometric Features

Ronan Boulic, Daniel Thalmann, Ehsan Arbabi

Hip mechanical simulation for estimating pressures within the soft tissues during the loads and motions of daily activities is a common approach to investigate hip joint pathology. Many computational approaches estimate the pressure and contact pressures v ...

Springer-Verlag London Ltd, Sweetapple House Catteshall Rd Farncombe, Godalming Gu7 1Nh, Surrey, England2009

Fast collision detection methods for joint surfaces

Ronan Boulic, Daniel Thalmann, Ehsan Arbabi

In the recent years medical diagnosis and surgery planning often require the precise evaluation of joint movements. This has led to exploit reconstructed three-dimensional models of the joint tissues obtained from CT or MR Images (for bones, cartilages, et ...

2009

A Fast Method for Finding Range of Motion in the Human Joints

Ronan Boulic, Daniel Thalmann, Ehsan Arbabi

Finding the range of motion for the human joints is a popular method for diagnosing joint diseases. By current technology, it is more trustable and easier to find the range of motion by employing computer based models of the human tissues. In this paper we ...

2007