A LabVIEW approach of detecting area of tumor in a brain

K. Vani, V. Sravani, B. Chandrima

Research output: Contribution to journalArticle

Abstract

The Magnetic Resonance Imaging (MRI), and Computed Tomography (CT) scan plays an important role in Brain Tumor detection. The tumor means abnormal cells growth in a human body. In this paper, comparison of abnormal brain with normal brain is done and exact position and area of the tumor using NI LABVIEW software was found out. This technique is carried out in two steps: i) First acquire gray scale image from MRI and CT scan images[1] and then comparing the tumor images using IMAQ tools ii) Applying edge detection, FFT filter techniques and measurement technique to find out exact location and area of the brain tumor. The edge detection technique is based on drastic changes in intensities of brain and tumor region. Fast Fourier Transform is used here to study the tumor region of MRI Brain Image in terms of its pixel intensity as it helps in removing the frequency components of edge detected MRI scan image. Not only for the brain tumor, this techniques can also be used for the analysis of clots in the brain.

Original languageEnglish
Pages (from-to)1261-1267
Number of pages7
JournalInternational Journal of Control Theory and Applications
Volume8
Issue number3
Publication statusPublished - 01-01-2015
Externally publishedYes

Fingerprint

Tumors
Brain
Edge detection
Fast Fourier transforms
Tomography
Cell growth
Pixels
Magnetic Resonance Imaging

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Vani, K. ; Sravani, V. ; Chandrima, B. / A LabVIEW approach of detecting area of tumor in a brain. In: International Journal of Control Theory and Applications. 2015 ; Vol. 8, No. 3. pp. 1261-1267.
@article{a961821e5f314a2086dbd1b7219e5ba1,
title = "A LabVIEW approach of detecting area of tumor in a brain",
abstract = "The Magnetic Resonance Imaging (MRI), and Computed Tomography (CT) scan plays an important role in Brain Tumor detection. The tumor means abnormal cells growth in a human body. In this paper, comparison of abnormal brain with normal brain is done and exact position and area of the tumor using NI LABVIEW software was found out. This technique is carried out in two steps: i) First acquire gray scale image from MRI and CT scan images[1] and then comparing the tumor images using IMAQ tools ii) Applying edge detection, FFT filter techniques and measurement technique to find out exact location and area of the brain tumor. The edge detection technique is based on drastic changes in intensities of brain and tumor region. Fast Fourier Transform is used here to study the tumor region of MRI Brain Image in terms of its pixel intensity as it helps in removing the frequency components of edge detected MRI scan image. Not only for the brain tumor, this techniques can also be used for the analysis of clots in the brain.",
author = "K. Vani and V. Sravani and B. Chandrima",
year = "2015",
month = "1",
day = "1",
language = "English",
volume = "8",
pages = "1261--1267",
journal = "International Journal of Control Theory and Applications",
issn = "0974-5572",
publisher = "Serials Publications",
number = "3",

}

Vani, K, Sravani, V & Chandrima, B 2015, 'A LabVIEW approach of detecting area of tumor in a brain', International Journal of Control Theory and Applications, vol. 8, no. 3, pp. 1261-1267.

A LabVIEW approach of detecting area of tumor in a brain. / Vani, K.; Sravani, V.; Chandrima, B.

In: International Journal of Control Theory and Applications, Vol. 8, No. 3, 01.01.2015, p. 1261-1267.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A LabVIEW approach of detecting area of tumor in a brain

AU - Vani, K.

AU - Sravani, V.

AU - Chandrima, B.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - The Magnetic Resonance Imaging (MRI), and Computed Tomography (CT) scan plays an important role in Brain Tumor detection. The tumor means abnormal cells growth in a human body. In this paper, comparison of abnormal brain with normal brain is done and exact position and area of the tumor using NI LABVIEW software was found out. This technique is carried out in two steps: i) First acquire gray scale image from MRI and CT scan images[1] and then comparing the tumor images using IMAQ tools ii) Applying edge detection, FFT filter techniques and measurement technique to find out exact location and area of the brain tumor. The edge detection technique is based on drastic changes in intensities of brain and tumor region. Fast Fourier Transform is used here to study the tumor region of MRI Brain Image in terms of its pixel intensity as it helps in removing the frequency components of edge detected MRI scan image. Not only for the brain tumor, this techniques can also be used for the analysis of clots in the brain.

AB - The Magnetic Resonance Imaging (MRI), and Computed Tomography (CT) scan plays an important role in Brain Tumor detection. The tumor means abnormal cells growth in a human body. In this paper, comparison of abnormal brain with normal brain is done and exact position and area of the tumor using NI LABVIEW software was found out. This technique is carried out in two steps: i) First acquire gray scale image from MRI and CT scan images[1] and then comparing the tumor images using IMAQ tools ii) Applying edge detection, FFT filter techniques and measurement technique to find out exact location and area of the brain tumor. The edge detection technique is based on drastic changes in intensities of brain and tumor region. Fast Fourier Transform is used here to study the tumor region of MRI Brain Image in terms of its pixel intensity as it helps in removing the frequency components of edge detected MRI scan image. Not only for the brain tumor, this techniques can also be used for the analysis of clots in the brain.

UR - http://www.scopus.com/inward/record.url?scp=84958958466&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958958466&partnerID=8YFLogxK

M3 - Article

VL - 8

SP - 1261

EP - 1267

JO - International Journal of Control Theory and Applications

JF - International Journal of Control Theory and Applications

SN - 0974-5572

IS - 3

ER -