PROJECT TITLE :

Constrained statistical modelling of knee flexion From multi-pose magnetic resonance imaging - 2016

ABSTRACT:

Reconstruction of the anterior cruciate ligament (ACL) through arthroscopy is one amongst the most common procedures in orthopaedics. It requires accurate alignment and drilling of the tibial and femoral tunnels through which the ligament graft is connected. Although business laptop-assisted navigation systems exist to guide the location of those tunnels, most of them are limited to a fastened create without due consideration of dynamic factors involved in several knee flexion angles. This paper presents a brand new model for intraoperative guidance of arthroscopic ACL reconstruction with reduced error significantly within the ligament attachment space. The strategy uses 3D preoperative information at completely different flexion angles to build an issue-specific statistical model of knee cause. To circumvent the problem of limited training samples and guarantee physically meaningful create instantiation, homogeneous transformations between completely different poses and local-deformation finite component modelling are used to enlarge the coaching set. Subsequently, an anatomical geodesic flexion analysis is performed to extract the topic-specific flexion characteristics. The benefits of the tactic were additionally tested by detailed comparison to straightforward Principal Component Analysis (PCA), nonlinear PCA while not training set enlargement, and different state-of-the-art articulated joint modelling methods. The method yielded sub-millimetre accuracy, demonstrating its potential clinical price.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : A Spatially Constrained Probabilistic Model for Robust Image Segmentation ABSTRACT: In probabilistic model based segmentation, the hidden Markov random field (HMRF) is used to describe the class label distribution
PROJECT TITLE :  A Structure-Based Human Facial Age Estimation Framework under a Constrained Condition ABSTRACT: In computer vision and pattern recognition, developing an automatic age estimation approach for human faces continues
PROJECT TITLE :Robust Chance Constrained Power Allocation Scheme for Multiple Target Localization in Colocated MIMO Radar System - 2018ABSTRACT:Taking into consideration the probabilistic uncertainty on the target radar cross
PROJECT TITLE : Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting - 2017 ABSTRACT: Spatial event forecasting from social media is potentially extremely useful but suffers from important challenges,
PROJECT TITLE :Constrained Probabilistic Search for a One-Dimensional Random WalkerABSTRACT:This paper addresses a elementary search problem in which a searcher subject to time and energy constraints tries to find a mobile target.

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry