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Applications of Finite Element Method in Computer Tomography for Cancer and Tumors: A Review

Publication Type : Conference Proceedings

Source : Computer Science & Engineering: An International Journal (CSEIJ), Volume 12, Issue 1, February. (2022)

Url : https://www.cseij.org/papers/v12n1/12122cseij14.pdf

Campus : Bengaluru

School : School of Engineering

Department : Mathematics

Year : 2022

Abstract : Computer Tomography (CT) is one of the widely used methods in the field of medical imaging. We can obtain images of any parts of the body including Bones, Muscles, Fat, and Organs from CT. The CT scans of internal organs, bone, soft tissue, and blood vessels provide greater clarity and reveal more details than compared to regular X-rays. One of the best numerical methods to study the behavior of cancerous cells or tumors from CT scan images is the Finite Element (FE) method. The FE mesh consists of three steps. Those are mainly Pre mesh, Mesh, Post mesh. It is efficient to create a 3D Model of these tumors by using Tetrahedral elements. FE method acquires the application such as Data acquisition, Tomographic reconstruction and segmentation, and surface extraction. It is one of the effective tools to understand the mechanical and geometrical characteristics of cancers and predict elastography parameters under different testing conditions. For these applications, high-level meshes are generated using which the analysis of the patient's anatomy is carried out. This technique has the potential to reveal the distribution of Tumor Treating Fields and to acquire the correlation between field strength and survival, which helps to improve the efficiency in the results. This paper thus reviews the study of CT scans using the FE method for cancer and tumors.

Cite this Research Publication : T. V. Smitha, Raunak Kumar Singh, Naresh Santosh Shet, "Applications Of Finite Element Method In Computer Tomography For Cancer And Tumors: A Review", Computer Science & Engineering: An International Journal (CSEIJ), Volume 12, Issue 1, February. (2022)

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