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Evaluation of single-photon emission computed tomography images obtained with and without copper filter by segmentation

BACKGROUND: Measurement of accurate attenuation of photon flux in tissue is important to obtain reconstructed images using single-photon emission computed tomography (SPECT). Computed tomography (CT) scanner provides attenuation correction data for SPECT as well as anatomic information for diagnosti...

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Autores principales: Kheruka, Subhash Chand, Aggarwal, Lalit Mohan, Sharma, Neeraj, Naithani, Umesh Chand, Maurya, Anil Kumar, Gambhir, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815382/
https://www.ncbi.nlm.nih.gov/pubmed/27095859
http://dx.doi.org/10.4103/0972-3919.178260
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author Kheruka, Subhash Chand
Aggarwal, Lalit Mohan
Sharma, Neeraj
Naithani, Umesh Chand
Maurya, Anil Kumar
Gambhir, Sanjay
author_facet Kheruka, Subhash Chand
Aggarwal, Lalit Mohan
Sharma, Neeraj
Naithani, Umesh Chand
Maurya, Anil Kumar
Gambhir, Sanjay
author_sort Kheruka, Subhash Chand
collection PubMed
description BACKGROUND: Measurement of accurate attenuation of photon flux in tissue is important to obtain reconstructed images using single-photon emission computed tomography (SPECT). Computed tomography (CT) scanner provides attenuation correction data for SPECT as well as anatomic information for diagnostic purposes. Segmentation is a process of dividing an image into regions having similar properties such as gray level, color, texture, brightness, and contrast. Image segmentation is an important tool for evaluation of medical images. X-ray beam used in CT scan is poly-energetic; therefore, we have used a copper filter to remove the low energy X-rays for obtaining correct attenuation factor. Images obtained with and without filters were quantitatively evaluated by segmentation method to avoid human error. MATERIALS AND METHODS: Axial images of AAPM CT phantom were acquired with 3 mm copper filter (low intensity) and without copper filter (high intensity) using low-dose CT (140 kvp and 2.5 mA) of SPECT/CT system (Hawkeye, GE Healthcare). For segmentation Simulated Annealing Based Fuzzy c-means, algorithm is applied. Quantitative measurement of quality is done based on universal image quality index. Further, for the validation of attenuation correction map of filtered CT images, Jaszczak SPECT phantom was filled with 500 MBq of (99m)Tc and SPECT study was acquired. Low dose CT images were acquired for attenuation correction to be used for reconstruction of SPECT images. Another set of CT images were acquired after applying additional 3 mm copper filter. Two sets of axial SPECT images were reconstructed using attenuation map from both the CT images obtained without and with a filter. RESULTS AND CONCLUSIONS: When we applied Simulated Annealing Based Fuzzy c-means segmentation on both the CT images, the CT images with filter shows remarkable improvement and all the six section of the spheres in the Jaszczak SPECT phantom were clearly visualized.
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spelling pubmed-48153822016-04-19 Evaluation of single-photon emission computed tomography images obtained with and without copper filter by segmentation Kheruka, Subhash Chand Aggarwal, Lalit Mohan Sharma, Neeraj Naithani, Umesh Chand Maurya, Anil Kumar Gambhir, Sanjay Indian J Nucl Med Original Article BACKGROUND: Measurement of accurate attenuation of photon flux in tissue is important to obtain reconstructed images using single-photon emission computed tomography (SPECT). Computed tomography (CT) scanner provides attenuation correction data for SPECT as well as anatomic information for diagnostic purposes. Segmentation is a process of dividing an image into regions having similar properties such as gray level, color, texture, brightness, and contrast. Image segmentation is an important tool for evaluation of medical images. X-ray beam used in CT scan is poly-energetic; therefore, we have used a copper filter to remove the low energy X-rays for obtaining correct attenuation factor. Images obtained with and without filters were quantitatively evaluated by segmentation method to avoid human error. MATERIALS AND METHODS: Axial images of AAPM CT phantom were acquired with 3 mm copper filter (low intensity) and without copper filter (high intensity) using low-dose CT (140 kvp and 2.5 mA) of SPECT/CT system (Hawkeye, GE Healthcare). For segmentation Simulated Annealing Based Fuzzy c-means, algorithm is applied. Quantitative measurement of quality is done based on universal image quality index. Further, for the validation of attenuation correction map of filtered CT images, Jaszczak SPECT phantom was filled with 500 MBq of (99m)Tc and SPECT study was acquired. Low dose CT images were acquired for attenuation correction to be used for reconstruction of SPECT images. Another set of CT images were acquired after applying additional 3 mm copper filter. Two sets of axial SPECT images were reconstructed using attenuation map from both the CT images obtained without and with a filter. RESULTS AND CONCLUSIONS: When we applied Simulated Annealing Based Fuzzy c-means segmentation on both the CT images, the CT images with filter shows remarkable improvement and all the six section of the spheres in the Jaszczak SPECT phantom were clearly visualized. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4815382/ /pubmed/27095859 http://dx.doi.org/10.4103/0972-3919.178260 Text en Copyright: © Indian Journal of Nuclear Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution NonCommercial ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Kheruka, Subhash Chand
Aggarwal, Lalit Mohan
Sharma, Neeraj
Naithani, Umesh Chand
Maurya, Anil Kumar
Gambhir, Sanjay
Evaluation of single-photon emission computed tomography images obtained with and without copper filter by segmentation
title Evaluation of single-photon emission computed tomography images obtained with and without copper filter by segmentation
title_full Evaluation of single-photon emission computed tomography images obtained with and without copper filter by segmentation
title_fullStr Evaluation of single-photon emission computed tomography images obtained with and without copper filter by segmentation
title_full_unstemmed Evaluation of single-photon emission computed tomography images obtained with and without copper filter by segmentation
title_short Evaluation of single-photon emission computed tomography images obtained with and without copper filter by segmentation
title_sort evaluation of single-photon emission computed tomography images obtained with and without copper filter by segmentation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815382/
https://www.ncbi.nlm.nih.gov/pubmed/27095859
http://dx.doi.org/10.4103/0972-3919.178260
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