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:: Volume 7, Issue 1 (9-2020) ::
2020, 7(1): 149-162 Back to browse issues page
Real-time Interactive High Resolution Soft Tissue Modeling in a Data-Driven Enrichment Approach
Zahra Bounik , Mousa Shamsi * , Mohammad Hossein Sedaaghi
Sahand University of Technology , shamsi@sut.ac.ir
Abstract:   (7095 Views)
In this paper, a real-time interactive high resolution soft tissue modeling is implemented that enriches a coarse model in a data-driven approach to produce a fine model. As a preprocess step, a set of corresponding coarse and fine models are simulated for the database. In the test step, by using a regressor, the coarse model in the test set is compared to the coarse models in the training set and the blending weights are assigned to the training coarse models. These weights are used for approximating the fine model as a linear combination of the corresponding fine models in the train set. To decrease the computational complexity, assuming that applying a force on the tissue results in a local deformation, a feature extraction algorithm is proposed that considers the displacements of the contact node and its neighbor nodes and ignores the rest. This results in a low dimensional feature vector and decreases the computational complexity. In order to compute the blending weights, a nonlinear regressor with Gaussian kernel is leveraged. To eliminate the artefacts resulting from negative weights, a nonnegative least square algorithm is used for regression. Simulation results of applying the proposed method on two soft tissue models are investigated regarding the reconstruction accuracy, computational complexity and running time.
Keywords: Real-time interactive modeling, Data-driven enrichment, Soft tissue deformation
Full-Text [PDF 1243 kb]   (3187 Downloads)    
Type of Study: Research | Subject: Modeling and Simulation
Received: 2020/05/3 | Accepted: 2020/11/16 | Published: 2021/04/19
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Bounik Z, Shamsi M, Sedaaghi M H. Real-time Interactive High Resolution Soft Tissue Modeling in a Data-Driven Enrichment Approach. Nonlinear Systems in Electrical Engineering 2020; 7 (1) :149-162
URL: http://journals.sut.ac.ir/jnsee/article-1-341-en.html

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Volume 7, Issue 1 (9-2020) Back to browse issues page
سامانه های غیرخطی در مهندسی برق Journal of Nonlinear Systems in Electrical Engineering
نشریه سامانه‌های غیرخطی در مهندسی برق در خصوص اصول اخلاقی انتشار مقاله، از توصیه‌های «کمیته بین‌المللی اخلاق نشر» موسوم به COPE و «منشور و موازین اخلاق پژوهش» مصوب معاونت پژوهش و فناوری وزارت علوم، تحقیقات و فناوری تبعیت می‌کند.
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