Utilize the least square method to quantify the perimeter of gastrointestinal stromal tumour

Rathi, Sidik and Harun, Nurzalina and Muhammad Fazlee, Nur Fareesha and Sadikin, Zubaidah and Salim Nasir, Mohd Agos (2024) Utilize the least square method to quantify the perimeter of gastrointestinal stromal tumour. Malaysia Journal of Invention and Innovation, 3 (5): 7. pp. 56-67. ISSN 2976-2170

Official URL: https://journal.academicapress.org/aps/index.php/m...

Identification Number (DOI): 10.64382/mjii.v3i5.128

Abstract

This study focuses on calculating the arc length of gastrointestinal stromal tumours (GISTs) to determine the tumour's perimeter using the least-squares method. The method involves developing a mathematical equation that corresponds to the tumour model to calculate the perimeter even under uneven conditions. Least squares is used to find the best-fit line or curve that minimizes the sum of squared differences between observed data points and predicted values, commonly used in regression analysis. For tumour perimeter calculation from ultrasound data, the study employs both the least squares method and the Gauss-Jordan elimination method. By determining that 1 mm on the graph paper corresponds to 1.2929 mm in actual size, the total arc length is calculated to be 9.5026 mm. Manual measurements, especially with complex shapes and small details, can be prone to errors. Therefore, PeriSolve, a graphical user interface (GUI) and professional simulator, is designed to simplify perimeter calculations for uneven surfaces, with a specific focus on using the least squares method.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Rathi, Sidik
sidik8423@uitm.edu.my
Harun, Nurzalina
nurzalina1587@uitm.edu.my
Muhammad Fazlee, Nur Fareesha
2021829682@student.uitm.edu.my
Sadikin, Zubaidah
zubaidah1590@uitm.edu.my
Salim Nasir, Mohd Agos
mohdagos066@uitm.edu.my
Subjects: Q Science > QA Mathematics > Analysis
R Medicine > RC Internal Medicine > Neoplasms. Tumors. Oncology > Examination. Diagnosis
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Information Management
Journal or Publication Title: Malaysia Journal of Invention and Innovation
ISSN: 2976-2170
Volume: 3
Number: 5
Page Range: pp. 56-67
Related URLs:
Keywords: Diagnostic imaging, Gastrointestinal stromal tumors, Least squares
Date: 5 September 2024
URI: https://ir.uitm.edu.my/id/eprint/128790
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