UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 1 Issue 6
November-2014
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1406028


Registration ID:
140348

Page Number

521-525

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Title

Predicting Mass using Infrared Image

Abstract

Medical imaging techniques plays vital role in the detection of the Cancer Cells .Survival of the Cancer patients is minimised as it affects the entire population. Especially the breast Cancer survival patients is very low comparatively and in the metastasis stage after the removal of the Cancer Cell also the survival rate of the Cancer patients are very less. Many imaging techniques viz Mammography, PET, SPECT, CT are available but in case of Dense tissue the imaging performance may be very low. To overcome this effect Cone beam Technology is used . In this Proposal the slides of the images are reconstructed using Analytical reconstruction and iterative reconstruction and Analytical reconstruction is efficient during Computation and Iteration reconstruction can improve the quality of the images .The step and Shoot cone beam refers the trajectory forming a single circle. Iterative technique is also known to be algebraic reconstruction is inverting the images. The reconstructed images are extended for the volumetric tomosythesis .The volumetric images of the images are converted into 3D volumetric using DoS .The complete images are converted into 3D volumetric images .These images when they are normally produced in CT it may not be visible perfectly. Instead using Infrared image the cold region and the Hot region can be identified without affecting the images. From these volumetric images low resolution images can be converted into high resolution images .Infrared Images are highly active between visible and microwaves .Malignant cells utilizes more oxygen than the normal cells .These Malignant cells aids the blood circulation in the cells there by high concentration of heat is around the cell of the Tissue . The conventional method of imaging involves the single volume is construction.The Near IR when used could be given pseudo colour wherein the colours differentiate the hot region and the cold region. The Region of Interest can be identified from the reconstructed images . These images are not projected images but reconstructed 3D images . From these 3 D images the exact location of the lession can be located and the Region of Interest would be Volume of Interest .The Volumetric of Interest will be the weight of the location and weight of the lession. Feature can be extracted from the dense tissue.

Key Words

Mammography, Malignant cells, ULTRASOUND,Magnetic Resonant Imaging

Cite This Article

"Predicting Mass using Infrared Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 6, page no.521-525, November-2014, Available :http://www.jetir.org/papers/JETIR1406028.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Predicting Mass using Infrared Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 6, page no. pp521-525, November-2014, Available at : http://www.jetir.org/papers/JETIR1406028.pdf

Publication Details

Published Paper ID: JETIR1406028
Registration ID: 140348
Published In: Volume 1 | Issue 6 | Year November-2014
DOI (Digital Object Identifier):
Page No: 521-525
Country: NAMAKKAL, TAMILNADU, INDIA .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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