Surgical Simulation of Blood Flow in Human Soft Tissues
Jayasudha.K1, Mohan. G.Kabadi2
1Jayasudha. K, Department of Computer Science, Visvesvaraya Technological University (RRC), Belgaum (Karnataka), India.
2Mohan.G. Kabadi, Department of Computer Science, Presidency University, Bangalore (Karnataka), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 2033-2038 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6284058719/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Virtual reality with surgery simulation has emerged is an interesting field of research in many surgical procedures likes planning, training and evaluation. To perform realistic and real time simulation of soft tissues on human skin is a challenging task. The need for real time surgical simulation requires clinical operations to be performed on human skin such as insertion of scalpel, cutting and bleeding. The popular approach to simulate bleeding is (CFD) computation fluid dynamics that has much more computational complexity. This paper mainly focuses on simulation of blood flow as a single blood spot in human soft tissues when a cut is being made with a surgical scalpel. The proposed framework uses Delaunay triangulation approach to simulate multiple layers of skin. Deformation of soft tissues is achieved using vtkDeformPointSet () function. All these works are carried out in real time that not only reduces computational cost but also reduces topological complexity of soft tissues.
Keyword: Cutting, Deformation, Layers, Soft Tissues, Simulation, Scalpel.
Scope of the Article: Emulation and Simulation Methodologies for IoT.