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Contrast Enhancement of Scintigraphic Image Using Fuzzy Intensification
INTRODUCTION: The objective of this study was to see the effect of fuzzy intensification (INT) operator on enhancement of scintigraphic image. MATERIALS AND METHODS: Nuclear medicine physician (NMP) provided 25 scintigraphic images that required enhancement. The image pixels value was converted into...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855253/ https://www.ncbi.nlm.nih.gov/pubmed/36686290 http://dx.doi.org/10.4103/ijnm.ijnm_210_21 |
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author | Pandey, Anil Kumar Dogra, Sakshi Sharma, Param Dev Jaleel, Jasim Patel, Chetan Kumar, Rakesh |
author_facet | Pandey, Anil Kumar Dogra, Sakshi Sharma, Param Dev Jaleel, Jasim Patel, Chetan Kumar, Rakesh |
author_sort | Pandey, Anil Kumar |
collection | PubMed |
description | INTRODUCTION: The objective of this study was to see the effect of fuzzy intensification (INT) operator on enhancement of scintigraphic image. MATERIALS AND METHODS: Nuclear medicine physician (NMP) provided 25 scintigraphic images that required enhancement. The image pixels value was converted into fuzzy plane and was subjected to contrast INT operator with parameters of INT operator i.e., cross-over = 0.5 and number of iterations = 1 and 2. The enhanced image was again brought back into spatial domain (de-fuzzification) whose intensity value was in the range 0–255. NMP compared the enhanced image with its input image and labeled it as acceptable or unacceptable. The quality of enhanced image was also accessed objectively using four different image metrics namely: Entropy, edge content, absolute mean brightness error and saturation metrics. RESULTS: Most of the enhanced images (18 out of 25 images) obtained at cross-over = 0.5 and number of iterations = 1 are acceptable and found to have overall better contrast compared to the corresponding input image. Four images (two brain positron emission tomography scan and two I-131 scan) obtained at cross-over = 0.5 and with iteration = 2 are acceptable. Three input images (one dimercaptosuccinic acid (DMSA), one I-131 and one I-131- metaiodo-benzyl-guanidine (MIBG) scan) were better than their enhanced images. CONCLUSIONS: The enhancement produced by fuzzy INT operator was encouraging. Majority of enhanced images were acceptable at cross-over = 0.5 and number iterations = 1. |
format | Online Article Text |
id | pubmed-9855253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-98552532023-01-21 Contrast Enhancement of Scintigraphic Image Using Fuzzy Intensification Pandey, Anil Kumar Dogra, Sakshi Sharma, Param Dev Jaleel, Jasim Patel, Chetan Kumar, Rakesh Indian J Nucl Med Original Article INTRODUCTION: The objective of this study was to see the effect of fuzzy intensification (INT) operator on enhancement of scintigraphic image. MATERIALS AND METHODS: Nuclear medicine physician (NMP) provided 25 scintigraphic images that required enhancement. The image pixels value was converted into fuzzy plane and was subjected to contrast INT operator with parameters of INT operator i.e., cross-over = 0.5 and number of iterations = 1 and 2. The enhanced image was again brought back into spatial domain (de-fuzzification) whose intensity value was in the range 0–255. NMP compared the enhanced image with its input image and labeled it as acceptable or unacceptable. The quality of enhanced image was also accessed objectively using four different image metrics namely: Entropy, edge content, absolute mean brightness error and saturation metrics. RESULTS: Most of the enhanced images (18 out of 25 images) obtained at cross-over = 0.5 and number of iterations = 1 are acceptable and found to have overall better contrast compared to the corresponding input image. Four images (two brain positron emission tomography scan and two I-131 scan) obtained at cross-over = 0.5 and with iteration = 2 are acceptable. Three input images (one dimercaptosuccinic acid (DMSA), one I-131 and one I-131- metaiodo-benzyl-guanidine (MIBG) scan) were better than their enhanced images. CONCLUSIONS: The enhancement produced by fuzzy INT operator was encouraging. Majority of enhanced images were acceptable at cross-over = 0.5 and number iterations = 1. Wolters Kluwer - Medknow 2022 2022-11-02 /pmc/articles/PMC9855253/ /pubmed/36686290 http://dx.doi.org/10.4103/ijnm.ijnm_210_21 Text en Copyright: © 2022 Indian Journal of Nuclear Medicine https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Pandey, Anil Kumar Dogra, Sakshi Sharma, Param Dev Jaleel, Jasim Patel, Chetan Kumar, Rakesh Contrast Enhancement of Scintigraphic Image Using Fuzzy Intensification |
title | Contrast Enhancement of Scintigraphic Image Using Fuzzy Intensification |
title_full | Contrast Enhancement of Scintigraphic Image Using Fuzzy Intensification |
title_fullStr | Contrast Enhancement of Scintigraphic Image Using Fuzzy Intensification |
title_full_unstemmed | Contrast Enhancement of Scintigraphic Image Using Fuzzy Intensification |
title_short | Contrast Enhancement of Scintigraphic Image Using Fuzzy Intensification |
title_sort | contrast enhancement of scintigraphic image using fuzzy intensification |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855253/ https://www.ncbi.nlm.nih.gov/pubmed/36686290 http://dx.doi.org/10.4103/ijnm.ijnm_210_21 |
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