PRECISION MEASUREMENT OF CANCER CELL DIAMETER BY QUANTITATIVE ANALYSIS OF MRI DATA USING GUI
Author(s):
Utsab Ray, Karabi Ganguly, Moumita Pal, Kinshuk Ganguly
Keywords:
Photogrammetry, neuroimaging, cancer, noise reduction, comprehension.
Abstract
Recently, photogrammetry has become much more pertinent and is demonstrated to be helpful in a multitude of environments. Brain tumour surveillance employing neuroimaging is one such promising trend. The forecasting of tumour growth using visuals combines oncology simulation and computed tomography. When a patient undertakes an MRI scan on a certain machine, MRI images are clinical images that are obtained on a computer. A tumour is a collection of aberrant masses of tissue in which the systems that govern typical cellular proliferation are faulty, leading to genomic instability. In such a milieu we offer a novel method for detecting the tumour and the cancerous area of any organ viz, brain, etc. Using MATLAB, its diameter has been calculated from an MRI examination of a patient. The suggested methodology comprises many layers of noise reduction techniques to clean up the images as well as image segmentation and morphological, anatomical as well as structural processes for tumour detection, extraction, and sizing. Comprehension and examination of the severity of a patient's brain tumour and can administer appropriate treatment before it becomes malignant by taking regular measurements of the tumour's size in the patient's respective organ thereby developing a Graphical User Interface (GUI).
Article Details
Unique Paper ID: 161058

Publication Volume & Issue: Volume 10, Issue 2

Page(s): 517 - 522
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