Abbass Ballit

About Abbass Ballit

Abbass Ballit, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Université de Technologie de Compiègne, specializes in the field of Resl time simulation, 3D Modeling, Extended Reality, computational biomechanics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Novel Hybrid Rigid-Deformable Fetal Modeling for Simulating the Vaginal Delivery within the Second Stage of Labor

On the uncertainty quantification of the active uterine contraction during the second stage of labor simulation

Multiphysics and multiscale modeling of uterine contractions: integrating electrical dynamics and soft tissue deformation with fiber orientation

A novel deep learning-driven approach for predicting the pelvis soft-tissue deformations toward a real-time interactive childbirth simulation

On the uncertainty quantification of hyperelastic properties using precise and imprecise probabilities toward reliable in silico simulation of the second-stage labor

Fast soft-tissue deformations coupled with mixed reality toward the next-generation childbirth training simulator

Novel Baseline Facial Muscle Database Using Statistical Shape Modeling and In Silico Trials toward Decision Support for Facial Rehabilitation

A Novel Stereo Camera Fusion Scheme for Generating and Tracking Real-time 3D Patient-specific Head/Face Kinematics and Facial Muscle Movements

Abbass Ballit Information

University

Université de Technologie de Compiègne

Position

PhD Student at

Citations(all)

75

Citations(since 2020)

69

Cited By

18

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

2

Email

University Profile Page

Université de Technologie de Compiègne

Abbass Ballit Skills & Research Interests

Resl time simulation

3D Modeling

Extended Reality

computational biomechanics

Top articles of Abbass Ballit

Novel Hybrid Rigid-Deformable Fetal Modeling for Simulating the Vaginal Delivery within the Second Stage of Labor

Authors

Abbass Ballit,Morgane Ferrandini,Tien-Tuan Dao

Journal

Computer Methods and Programs in Biomedicine

Published Date

2024/4/8

Background and objectiveThe fetal representation as a 3D articulated body plays an essential role to describe a realistic vaginal delivery simulation. However, the current computational solutions have been oversimplified. The objective of the present work was to develop and evaluate a novel hybrid rigid-deformable modeling approach for the fetal body and then simulate its interaction with surrounding fetal soft tissues and with other maternal pelvis soft tissues during the second stage of labor.MethodsCT scan data was used for 3D fetal skeleton reconstruction. Then, a novel hybrid rigid-deformable model of the fetal body was developed. This model was integrated into a maternal 3D pelvis model to simulate the vaginal delivery. Soft tissue deformation was simulated using our novel HyperMSM formulation. Magnetic resonance imaging during the second stage of labor was used to impose the trajectory of the fetus …

On the uncertainty quantification of the active uterine contraction during the second stage of labor simulation

Authors

Trieu-Nhat-Thanh Nguyen,Abbass Ballit,Pauline Lecomte-Grosbras,Jean-Baptiste Colliat,Tien-Tuan Dao

Journal

Medical & Biological Engineering & Computing

Published Date

2024/3/13

Uterine contractions in the myometrium occur at multiple scales, spanning both organ and cellular levels. This complex biological process plays an essential role in the fetus delivery during the second stage of labor. Several finite element models of active uterine contractions have already been developed to simulate the descent of the fetus through the birth canal. However, the developed models suffer severe reliability issues due to the uncertain parameters. In this context, the present study aimed to perform the uncertainty quantification (UQ) of the active uterine contraction simulation to advance our understanding of pregnancy mechanisms with more reliable indicators. A uterus model with and without fetus was developed integrating a transversely isotropic Mooney-Rivlin material with two distinct fiber orientation architectures. Different contraction patterns with complex boundary conditions were designed and applied …

Multiphysics and multiscale modeling of uterine contractions: integrating electrical dynamics and soft tissue deformation with fiber orientation

Authors

Abbass Ballit,Tien-Tuan Dao

Journal

Medical & Biological Engineering & Computing

Published Date

2023/11/26

The development of a comprehensive uterine model that seamlessly integrates the intricate interactions between the electrical and mechanical aspects of uterine activity could potentially facilitate the prediction and management of labor complications. Such a model has the potential to enhance our understanding of the initiation and synchronization mechanisms involved in uterine contractions, providing a more profound comprehension of the factors associated with labor complications, including preterm labor. Consequently, it has the capacity to assist in more effective preparation and intervention strategies for managing such complications. In this study, we present a computational model that effectively integrates the electrical and mechanical components of uterine contractions. By combining a state-of-the-art electrical model with the Hyperelastic Mass-Spring Model (HyperMSM), we adopt a multiphysics and …

A novel deep learning-driven approach for predicting the pelvis soft-tissue deformations toward a real-time interactive childbirth simulation

Authors

Duyen Hien Nguyen-Le,Abbass Ballit,Tien-Tuan Dao

Journal

Engineering Applications of Artificial Intelligence

Published Date

2023/11/1

Background and objectiveSoft-tissue dynamics plays an essential role in the mechanical functions of the human body. Numerical approaches using finite element modeling and mass-spring framework have been currently used to estimate the biological soft tissue dynamics. However, these approaches still have important computational cost due to the use of a mesh configuration in the formulation of the dynamic equilibrium equation and unstable convergence issue.MethodsWe present in this study a novel approach based on the deep learning framework to predict the deformation of soft-tissues. In particular, the Long Short-term Memory (LSTM) neural network and deep neural network (DNN) were used to deal with high-frequency oscillation signals. Different learning strategies (with and without data dimension reduction) were also applied. A simulation-based database was generated using our HyperMSM model …

On the uncertainty quantification of hyperelastic properties using precise and imprecise probabilities toward reliable in silico simulation of the second-stage labor

Authors

Abbass Ballit,Pauline Lecomte-Grosbras,Jean-Baptiste Colliat,Tien-Tuan Dao

Journal

Journal of Mechanics in Medicine and Biology

Published Date

2023/10/2

Finite element models of the second-stage labor system have been commonly developed for providing objective and quantitative indicators as well as innovative therapeutic solutions for decision supports. However, the reliability of the simulation outcomes remains a challenging issue due to uncertainties in input data and model complexity as well as the lack of validation. The objective of this study was to perform uncertainty quantification (UQ) on the material properties of the pelvis soft tissue with a focus on the uterus tissue during the second labor simulation leading to explore more plausible outcome space for reliable decision support making. The developed modeling and simulation workflow includes an image-based finite element model of the fetal body and pelvis soft tissues (floor, vagina and uterus), an uncertainty modeling procedure using precise and imprecise probabilities and an uncertainty propagation process based on the Monte Carlo method with and without parameter dependency. Obtained results showed that hyperelastic properties of the uterus tissue are very sensitive during the second stage of labor simulation. Moreover, the use of imprecise probability and parameter dependency lead to a more consistent range of values for uterus tissue stress analysis. This study performed, for the first time, an UQ on the hyperelastic properties of the uterus tissue from the in silico simulation of the second-stage labor. This opens new avenues for providing reliable indicators for clinical decision support. As a perspective, the active uterus behavior will be integrated into a more realistic second-stage labor model and simulation. Then, UQ will …

Fast soft-tissue deformations coupled with mixed reality toward the next-generation childbirth training simulator

Authors

Abbass Ballit,Mathieu Hivert,Chrystèle Rubod,Tien-Tuan Dao

Journal

Medical & Biological Engineering & Computing

Published Date

2023/6/29

High-quality gynecologist and midwife training is particularly relevant to limit medical complications and reduce maternal and fetal morbimortalities. Physical and virtual training simulators have been developed. However, physical simulators offer a simplified model and limited visualization of the childbirth process, while virtual simulators still lack a realistic interactive system and are generally limited to imposed predefined gestures. Objective performance assessment based on the simulation numerical outcomes is still not at hand. In the present work, we developed a virtual childbirth simulator based on the Mixed-Reality (MR) technology coupled with HyperMSM (Hyperelastic Mass-Spring Model) formulation for real-time soft-tissue deformations, providing intuitive user interaction with the virtual physical model and a quantitative assessment to enhance the trainee’s gestures. Microsoft HoloLens 2 was used and the …

Novel Baseline Facial Muscle Database Using Statistical Shape Modeling and In Silico Trials toward Decision Support for Facial Rehabilitation

Authors

Vi-Do Tran,Tan-Nhu Nguyen,Abbass Ballit,Tien-Tuan Dao

Journal

Bioengineering

Published Date

2023/6/19

Backgrounds and Objective: Facial palsy is a complex pathophysiological condition affecting the personal and professional lives of the involved patients. Sudden muscle weakness or paralysis needs to be rehabilitated to recover a symmetric and expressive face. Computer-aided decision support systems for facial rehabilitation have been developed. However, there is a lack of facial muscle baseline data to evaluate the patient states and guide as well as optimize the rehabilitation strategy. In this present study, we aimed to develop a novel baseline facial muscle database (static and dynamic behaviors) using the coupling between statistical shape modeling and in-silico trial approaches. Methods: 10,000 virtual subjects (5000 males and 5000 females) were generated from a statistical shape modeling (SSM) head model. Skull and muscle networks were defined so that they statistically fit with the head shapes. Two standard mimics: smiling and kissing were generated. The muscle strains of the lengths in neutral and mimic positions were computed and recorded thanks to the muscle insertion and attachment points on the animated head and skull meshes. For validation, five head and skull meshes were reconstructed from the five computed tomography (CT) image sets. Skull and muscle networks were then predicted from the reconstructed head meshes. The predicted skull meshes were compared with the reconstructed skull meshes based on the mesh-to-mesh distance metrics. The predicted muscle lengths were also compared with those manually defined on the reconstructed head and skull meshes. Moreover, the computed muscle lengths and …

A Novel Stereo Camera Fusion Scheme for Generating and Tracking Real-time 3D Patient-specific Head/Face Kinematics and Facial Muscle Movements

Authors

Tan-Nhu Nguyen,Abbass Ballit,Tien-Tuan Dao

Journal

IEEE Sensors Journal

Published Date

2023/3/24

Recovery and rehabilitation of facial mimics need enhanced decision support with multimodal biofeedback from 3-D real-time biomechanical head animation. Kinect V2.0 can detect and track 3-D high-definition (HD) face features (FFs), but the end of production can lead to difficult deployment of the developed solutions. Deep neural network (DNN)-based methods were employed, but the detected features were in 2-D or not accurate in 3-D. Thus, we developed a novel stereo-fusion scheme for enhancing the accuracy of 3-D features and generating biomechanical heads. Four stereo cameras were employed for detecting 2-D FFs based on DNN-based models. Stereo-triangulated 3-D FFs were fused using the Kalman filter. A head, skull, and muscle network were generated from the fused FFs. We validated the method with 1000 virtual subjects and five computed tomography (CT)-based subjects. The in silico trial …

Recurrent neural network to predict hyperelastic constitutive behaviors of the skeletal muscle

Authors

Abbass Ballit,Tien-Tuan Dao

Journal

Medical & Biological Engineering & Computing

Published Date

2022/4

Hyperelastic constitutive laws have been commonly used to model the passive behavior of the human skeletal muscle. Despite many efforts, the use of accurate finite element formulations of hyperelastic constitutive laws is still time-consuming for a real-time medical simulation system. The objective of the present study was to develop a deep learning model to predict the hyperelastic constitutive behaviors of the skeletal muscle toward a fast estimation of the muscle tissue stress.A finite element (FE) model of the right psoas muscle was developed. Neo-Hookean and Mooney-Rivlin laws were used. A tensile test was performed with an applied body force. A learning database was built from this model using an automatic probabilistic generation process. A long-short term memory (LSTM) neural network was implemented to predict the stress evolution of the skeletal muscle tissue. A hyperparameter tuning process was conducted …

HyperMSM: A new MSM variant for efficient simulation of dynamic soft-tissue deformations

Authors

Abbass Ballit,Tien-Tuan Dao

Journal

Computer Methods and Programs in Biomedicine

Published Date

2022/4/1

Background and objectiveFast, accurate, and stable simulation of soft tissue deformation is a challenging task. Mass-Spring Model (MSM) is one of the popular methods used for this purpose for its simple implementation and potential to provide fast dynamic simulations. However, accurately simulating a non-linear material within the mass-spring framework is still challenging. The objective of the present study is to develop and evaluate a new efficient hyperelastic Mass-Spring Model formulation to simulate the Neo-Hookean deformable material, called HyperMSM.MethodsOur novel HyperMSM formulation is applicable for both tetrahedral and hexahedral mesh configurations and is compatible with the original projective dynamics solver. In particular, the proposed MSM variant includes springs with variable rest-lengths and a volume conservation constraint. Two applications (transtibial residual limb and the skeletal …

Computer-aided parametric prosthetic socket design based on real-time soft tissue deformation and an inverse approach

Authors

Abbass Ballit,Imad Mougharbel,Hassan Ghaziri,Tien-Tuan Dao

Journal

The Visual Computer

Published Date

2022/3

The prosthetic socket provides the critical interface between the prosthetic device and the patient’s residual limb. Since each stump is unique in terms of morphology and mechanics, each socket should be patient specific. Computer-aided design solutions have been proposed in the literature. However, there is a lack of an efficient solution able to modify local information based on soft tissue deformation feedback to enhance the design process. The objective of the present work was to develop and evaluate a computer-aided design approach with real-time soft tissue deformation feedback and an inverse approach to optimize the stump–socket interaction. A computer-aided parametric socket design workflow was proposed. Soft tissue deformation was performed using a novel formulation of the mass-spring system. An inverse approach was proposed to estimate and optimize the stump–socket interaction. An …

Visual sensor fusion with error compensation strategy toward a rapid and low-cost 3D scanning system for the lower residual limb

Authors

Abbass Ballit,Imad Mougharbel,Hassan Ghaziri,Tien-Tuan Dao

Journal

IEEE Sensors Journal

Published Date

2020/7/22

Rapid and low-cost 3D scanning system becomes a common solution for prosthetic designers and engineers to acquire accurate 3D geometrical model of the involved patient. Multiple Kinect sensor fusion solutions have been proposed but still, there is a lack of fusion scheme within a single workstation and a systematic reconstruction error analysis. The objective of the present study was to develop a new Kinect sensor fusion scheme running on a single workstation and an error compensation strategy. Architecture of a 3D scanning system for the lower residual limb was proposed. Four Kinect sensors were used to develop the fusion scheme. An error compensation approach based on linear regression method was performed. Then, an iterative rigid multi-set registration method was proposed. Different primitive geometries (cylindrical objects, box) with well-known physical dimensions were designed, fabricated and …

Design and manufacturing process optimization for prosthesis of the lower limb

Authors

Abbass Ballit

Published Date

2020/11/17

The prosthetic socket, an essential interface element between the patient's stump and prosthetic device, is most often the place where the degree of prosthetic success is defined. It is the most critical part of the prosthesis, customized to fit with the unique residual limb of the amputee. Without a proper socket shape and fit, the prosthesis becomes uncomfortable, or even unusable, and causes pain and skin issues. The state-of-the-art prosthetic production is still missing universal numerical standards to design a socket. The current practice is expensive and relies on the manual refinements of the orthopedic technician, and the fit quality strictly correlates with his skills as well as the subjective feedback of the patient. The thesis aims to conduct a deep analysis of an optimal design of the prosthetic socket by studying and developing an alternative computer-aided design process. This process is fully based on the virtual model of the patient’s residual limb and relies on the calculation of the socket-stump interaction. A fast calculation is favorable in this case, that’s why we propose to use the Mass-Spring System (MSS) instead of the widely used FE method to model the soft tissues of the residual limb. A new configuration of the MSS model is proposed to respect the non-compressibility property of the soft tissues by adding non-linear “Corrective Springs”. The numeric model is to be generated from the scanned model of the stump. For this purpose, we propose a fusion scheme of four RGB-Depth sensors for a rapid and low-cost scan with error reduction techniques. Finally, the virtual residual limb is used in the socket designing phase. A parametric design …

Fast soft tissue deformation and stump-socket interaction toward a computer-aided design system for lower limb prostheses

Authors

Abbass Ballit,Imag Mougharbel,Hassan Ghaziri,T-T Dao

Journal

Irbm

Published Date

2020/10/1

Prosthetic technology is rapidly advancing but there's a catch. Regardless the technology or the material used, a minimum cost is still high. One of the problems relates to the fact that the conventional socket fabrication process is still used. This method is based on subjective estimations of the involved specialists and feedbacks of the patients. This process consumes remarkable amount of time, manpower and materials. Research works are needed to design new efficient and low-cost alternative techniques for the socket design. This technique should definitely be based on CAD-CAM methods. Therefore, the first step toward this objective is to establish an accurate numeric model for evaluating and optimizing the design process. In this present work, we developed a new approach to simulate the stump soft tissue deformation and stump-socket interaction using Mass-Spring System (MSS) approach and a point-to …

See List of Professors in Abbass Ballit University(Université de Technologie de Compiègne)

Abbass Ballit FAQs

What is Abbass Ballit's h-index at Université de Technologie de Compiègne?

The h-index of Abbass Ballit has been 5 since 2020 and 5 in total.

What are Abbass Ballit's top articles?

The articles with the titles of

Novel Hybrid Rigid-Deformable Fetal Modeling for Simulating the Vaginal Delivery within the Second Stage of Labor

On the uncertainty quantification of the active uterine contraction during the second stage of labor simulation

Multiphysics and multiscale modeling of uterine contractions: integrating electrical dynamics and soft tissue deformation with fiber orientation

A novel deep learning-driven approach for predicting the pelvis soft-tissue deformations toward a real-time interactive childbirth simulation

On the uncertainty quantification of hyperelastic properties using precise and imprecise probabilities toward reliable in silico simulation of the second-stage labor

Fast soft-tissue deformations coupled with mixed reality toward the next-generation childbirth training simulator

Novel Baseline Facial Muscle Database Using Statistical Shape Modeling and In Silico Trials toward Decision Support for Facial Rehabilitation

A Novel Stereo Camera Fusion Scheme for Generating and Tracking Real-time 3D Patient-specific Head/Face Kinematics and Facial Muscle Movements

...

are the top articles of Abbass Ballit at Université de Technologie de Compiègne.

What are Abbass Ballit's research interests?

The research interests of Abbass Ballit are: Resl time simulation, 3D Modeling, Extended Reality, computational biomechanics

What is Abbass Ballit's total number of citations?

Abbass Ballit has 75 citations in total.

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