Efficient Strike Artifact Reduction Based on 3D-Morphological Structure Operators from Filtered Back-Projection PET Images

Positron emission tomography (PET) can provide functional images and identify abnormal metabolic regions of the whole-body to effectively detect tumor presence and distribution. The filtered back-projection (FBP) algorithm is one of the most common images reconstruction methods. However, it will gen...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Chun-Yi Chiu, Yung-Hui Huang, Wei-Chang Du, Chi-Yuan Wang, Huei-Yong Chen, Yun-Shiuan Shiu, Nan-Han Lu, Tai-Been Chen
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
PET
FBP
MSO
ORC
Acceso en línea:https://doaj.org/article/bd9b7413c643423980747c3687ecf631
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:bd9b7413c643423980747c3687ecf631
record_format dspace
spelling oai:doaj.org-article:bd9b7413c643423980747c3687ecf6312021-11-11T19:12:10ZEfficient Strike Artifact Reduction Based on 3D-Morphological Structure Operators from Filtered Back-Projection PET Images10.3390/s212172281424-8220https://doaj.org/article/bd9b7413c643423980747c3687ecf6312021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7228https://doaj.org/toc/1424-8220Positron emission tomography (PET) can provide functional images and identify abnormal metabolic regions of the whole-body to effectively detect tumor presence and distribution. The filtered back-projection (FBP) algorithm is one of the most common images reconstruction methods. However, it will generate strike artifacts on the reconstructed image and affect the clinical diagnosis of lesions. Past studies have shown reduction in strike artifacts and improvement in quality of images by two-dimensional morphological structure operators (2D-MSO). The morphological structure method merely processes the noise distribution of 2D space and never considers the noise distribution of 3D space. This study was designed to develop three-dimensional-morphological structure operators (3D MSO) for nuclear medicine imaging and effectively eliminating strike artifacts without reducing image quality. A parallel operation was also used to calculate the minimum background standard deviation of the images for three-dimensional morphological structure operators with the optimal response curve (3D-MSO/ORC). As a result of Jaszczak phantom and rat verification, 3D-MSO/ORC showed better denoising performance and image quality than the 2D-MSO method. Thus, 3D MSO/ORC with a 3 × 3 × 3 mask can reduce noise efficiently and provide stability in FBP images.Chun-Yi ChiuYung-Hui HuangWei-Chang DuChi-Yuan WangHuei-Yong ChenYun-Shiuan ShiuNan-Han LuTai-Been ChenMDPI AGarticlePETFBPstrike artifactsMSOORCChemical technologyTP1-1185ENSensors, Vol 21, Iss 7228, p 7228 (2021)
institution DOAJ
collection DOAJ
language EN
topic PET
FBP
strike artifacts
MSO
ORC
Chemical technology
TP1-1185
spellingShingle PET
FBP
strike artifacts
MSO
ORC
Chemical technology
TP1-1185
Chun-Yi Chiu
Yung-Hui Huang
Wei-Chang Du
Chi-Yuan Wang
Huei-Yong Chen
Yun-Shiuan Shiu
Nan-Han Lu
Tai-Been Chen
Efficient Strike Artifact Reduction Based on 3D-Morphological Structure Operators from Filtered Back-Projection PET Images
description Positron emission tomography (PET) can provide functional images and identify abnormal metabolic regions of the whole-body to effectively detect tumor presence and distribution. The filtered back-projection (FBP) algorithm is one of the most common images reconstruction methods. However, it will generate strike artifacts on the reconstructed image and affect the clinical diagnosis of lesions. Past studies have shown reduction in strike artifacts and improvement in quality of images by two-dimensional morphological structure operators (2D-MSO). The morphological structure method merely processes the noise distribution of 2D space and never considers the noise distribution of 3D space. This study was designed to develop three-dimensional-morphological structure operators (3D MSO) for nuclear medicine imaging and effectively eliminating strike artifacts without reducing image quality. A parallel operation was also used to calculate the minimum background standard deviation of the images for three-dimensional morphological structure operators with the optimal response curve (3D-MSO/ORC). As a result of Jaszczak phantom and rat verification, 3D-MSO/ORC showed better denoising performance and image quality than the 2D-MSO method. Thus, 3D MSO/ORC with a 3 × 3 × 3 mask can reduce noise efficiently and provide stability in FBP images.
format article
author Chun-Yi Chiu
Yung-Hui Huang
Wei-Chang Du
Chi-Yuan Wang
Huei-Yong Chen
Yun-Shiuan Shiu
Nan-Han Lu
Tai-Been Chen
author_facet Chun-Yi Chiu
Yung-Hui Huang
Wei-Chang Du
Chi-Yuan Wang
Huei-Yong Chen
Yun-Shiuan Shiu
Nan-Han Lu
Tai-Been Chen
author_sort Chun-Yi Chiu
title Efficient Strike Artifact Reduction Based on 3D-Morphological Structure Operators from Filtered Back-Projection PET Images
title_short Efficient Strike Artifact Reduction Based on 3D-Morphological Structure Operators from Filtered Back-Projection PET Images
title_full Efficient Strike Artifact Reduction Based on 3D-Morphological Structure Operators from Filtered Back-Projection PET Images
title_fullStr Efficient Strike Artifact Reduction Based on 3D-Morphological Structure Operators from Filtered Back-Projection PET Images
title_full_unstemmed Efficient Strike Artifact Reduction Based on 3D-Morphological Structure Operators from Filtered Back-Projection PET Images
title_sort efficient strike artifact reduction based on 3d-morphological structure operators from filtered back-projection pet images
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/bd9b7413c643423980747c3687ecf631
work_keys_str_mv AT chunyichiu efficientstrikeartifactreductionbasedon3dmorphologicalstructureoperatorsfromfilteredbackprojectionpetimages
AT yunghuihuang efficientstrikeartifactreductionbasedon3dmorphologicalstructureoperatorsfromfilteredbackprojectionpetimages
AT weichangdu efficientstrikeartifactreductionbasedon3dmorphologicalstructureoperatorsfromfilteredbackprojectionpetimages
AT chiyuanwang efficientstrikeartifactreductionbasedon3dmorphologicalstructureoperatorsfromfilteredbackprojectionpetimages
AT hueiyongchen efficientstrikeartifactreductionbasedon3dmorphologicalstructureoperatorsfromfilteredbackprojectionpetimages
AT yunshiuanshiu efficientstrikeartifactreductionbasedon3dmorphologicalstructureoperatorsfromfilteredbackprojectionpetimages
AT nanhanlu efficientstrikeartifactreductionbasedon3dmorphologicalstructureoperatorsfromfilteredbackprojectionpetimages
AT taibeenchen efficientstrikeartifactreductionbasedon3dmorphologicalstructureoperatorsfromfilteredbackprojectionpetimages
_version_ 1718431607068557312