• R. Ramji
• S. Devi

This paper suggest a completely automated and efficient method for practical reconstruction of the 3D brain tumor model. Reconstruction of segmentation and 3D volume in medical imaging is a method that enables diagnostic optimization, and can also facilitate the specialist in qualitative and quantitative research. In diverse uses such as modeling, quantitative analysis and image-guided surgery, it's an essential step. For clinical planning, detection and quantification including such volume measurements, 3D segmentation of the pathology and healthy structures is absolutely critical. Detailed segmentation of pathological constructs is a challenging task, since brain tumors differ significantly in size and location and may interfere with normal tissue and consume area..

Tomography, Discrete Tomography, Total Variation Regularized Discrete Algebraic Reconstruction Techniques, Compressed Sensing.

"Application of Image Segmentation on Reconstructed Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.3904-3908, October 2020, Available :http://www.jetir.org/papers/JETIR2010513.pdf

"Application of Image Segmentation on Reconstructed Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp3904-3908, October 2020, Available at : http://www.jetir.org/papers/JETIR2010513.pdf