Magnetic Resonace–Based Attenuation Correction for Micro–Single-Photon Emission Computed Tomography

Attenuation correction is necessary for quantification in micro–single-photon emission computed tomography (micro-SPECT). In general, this is done based on micro–computed tomographic (micro-CT) images. Derivation of the attenuation map from magnetic resonance (MR) images is difficult because bone an...

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Main Authors: Vincent Keereman, Yves Fierens, Christian Vanhove, Tony Lahoutte, Stefaan Vandenberghe
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2012-03-01
Series:Molecular Imaging
Online Access:https://doi.org/10.2310/7290.2011.00036
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spelling doaj-b2dc83e1834241f09440ec7c37028c872021-04-02T13:16:11ZengHindawi - SAGE PublishingMolecular Imaging1536-01212012-03-011110.2310/7290.2011.0003610.2310_7290.2011.00036Magnetic Resonace–Based Attenuation Correction for Micro–Single-Photon Emission Computed TomographyVincent KeeremanYves FierensChristian VanhoveTony LahoutteStefaan VandenbergheAttenuation correction is necessary for quantification in micro–single-photon emission computed tomography (micro-SPECT). In general, this is done based on micro–computed tomographic (micro-CT) images. Derivation of the attenuation map from magnetic resonance (MR) images is difficult because bone and lung are invisible in conventional MR images and hence indistinguishable from air. An ultrashort echo time (UTE) sequence yields signal in bone and lungs. Micro-SPECT, micro-CT, and MR images of 18 rats were acquired. Different tracers were used: hexamethylpropyleneamine oxime (brain), dimercaptosuccinic acid (kidney), colloids (liver and spleen), and macroaggregated albumin (lung). The micro-SPECT images were reconstructed without attenuation correction, with micro-CT-based attenuation maps, and with three MR-based attenuation maps: uniform, non-UTE-MR based (air, soft tissue), and UTE-MR based (air, lung, soft tissue, bone). The average difference with the micro-CT-based reconstruction was calculated. The UTE-MR-based attenuation correction performed best, with average errors ≤ 8% in the brain scans and ≤ 3% in the body scans. It yields nonsignificant differences for the body scans. The uniform map yields errors of ≤ 6% in the body scans. No attenuation correction yields errors ≥ 15% in the brain scans and ≥ 25% in the body scans. Attenuation correction should always be performed for quantification. The feasibility of MR-based attenuation correction was shown. When accurate quantification is necessary, a UTE-MR-based attenuation correction should be used.https://doi.org/10.2310/7290.2011.00036
collection DOAJ
language English
format Article
sources DOAJ
author Vincent Keereman
Yves Fierens
Christian Vanhove
Tony Lahoutte
Stefaan Vandenberghe
spellingShingle Vincent Keereman
Yves Fierens
Christian Vanhove
Tony Lahoutte
Stefaan Vandenberghe
Magnetic Resonace–Based Attenuation Correction for Micro–Single-Photon Emission Computed Tomography
Molecular Imaging
author_facet Vincent Keereman
Yves Fierens
Christian Vanhove
Tony Lahoutte
Stefaan Vandenberghe
author_sort Vincent Keereman
title Magnetic Resonace–Based Attenuation Correction for Micro–Single-Photon Emission Computed Tomography
title_short Magnetic Resonace–Based Attenuation Correction for Micro–Single-Photon Emission Computed Tomography
title_full Magnetic Resonace–Based Attenuation Correction for Micro–Single-Photon Emission Computed Tomography
title_fullStr Magnetic Resonace–Based Attenuation Correction for Micro–Single-Photon Emission Computed Tomography
title_full_unstemmed Magnetic Resonace–Based Attenuation Correction for Micro–Single-Photon Emission Computed Tomography
title_sort magnetic resonace–based attenuation correction for micro–single-photon emission computed tomography
publisher Hindawi - SAGE Publishing
series Molecular Imaging
issn 1536-0121
publishDate 2012-03-01
description Attenuation correction is necessary for quantification in micro–single-photon emission computed tomography (micro-SPECT). In general, this is done based on micro–computed tomographic (micro-CT) images. Derivation of the attenuation map from magnetic resonance (MR) images is difficult because bone and lung are invisible in conventional MR images and hence indistinguishable from air. An ultrashort echo time (UTE) sequence yields signal in bone and lungs. Micro-SPECT, micro-CT, and MR images of 18 rats were acquired. Different tracers were used: hexamethylpropyleneamine oxime (brain), dimercaptosuccinic acid (kidney), colloids (liver and spleen), and macroaggregated albumin (lung). The micro-SPECT images were reconstructed without attenuation correction, with micro-CT-based attenuation maps, and with three MR-based attenuation maps: uniform, non-UTE-MR based (air, soft tissue), and UTE-MR based (air, lung, soft tissue, bone). The average difference with the micro-CT-based reconstruction was calculated. The UTE-MR-based attenuation correction performed best, with average errors ≤ 8% in the brain scans and ≤ 3% in the body scans. It yields nonsignificant differences for the body scans. The uniform map yields errors of ≤ 6% in the body scans. No attenuation correction yields errors ≥ 15% in the brain scans and ≥ 25% in the body scans. Attenuation correction should always be performed for quantification. The feasibility of MR-based attenuation correction was shown. When accurate quantification is necessary, a UTE-MR-based attenuation correction should be used.
url https://doi.org/10.2310/7290.2011.00036
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