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Automatic and manual image fusion of (111)In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging – An evaluation

In the clinical diagnosis of neuroendocrine tumors (NET), the results of examinations, such as high-resolution computed tomography (CT) and single photon computerized tomography (SPECT), have conventionally been interpreted separately. The aim of the present study was to evaluate Hermes Multimodalit...

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Autores principales: Hedlund, Elisabeth, Karlsson, Jan-Erik, Starck, Sven-Åke
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990117/
https://www.ncbi.nlm.nih.gov/pubmed/21170187
http://dx.doi.org/10.4103/0971-6203.71766
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author Hedlund, Elisabeth
Karlsson, Jan-Erik
Starck, Sven-Åke
author_facet Hedlund, Elisabeth
Karlsson, Jan-Erik
Starck, Sven-Åke
author_sort Hedlund, Elisabeth
collection PubMed
description In the clinical diagnosis of neuroendocrine tumors (NET), the results of examinations, such as high-resolution computed tomography (CT) and single photon computerized tomography (SPECT), have conventionally been interpreted separately. The aim of the present study was to evaluate Hermes Multimodality™ 5.0 H Image Fusion software-based automatic and manual image fusion of SPECT and CT for the localization of NET lesions. Out of 34 NET patients who were examined by means of somatostatin receptor scintigraphy (SRS) with 111In- pentetreotide along with SPECT, 22 patients had a CT examination of the abdomen, which was used in the fusion analysis. SPECT and CT data were fused using software with a registration algorithm based on normalized mutual information. The criteria for acceptable fusion were established at a maximum cranial or caudal dislocation of 25 mm between the images and at a reasonable consensus (in order of less than 1 cm) between outline of the reference organs. The automatic fusion was acceptable in 13 of the 22 examinations, whereas 9 fusions were not. However all the 22 examinations were acceptable at the manual fusion. The result of automatic fusion was better when the slice thickness of 5 mm was applied at CT examination, when the number of slices was below 100 in CT data and when both examinations included uptakes of pathological lesions. Retrospective manual image fusion of SPECT and CT is a relatively inexpensive but reliable method to be used in NET imaging. Automatic image fusion with specified software of SPECT and CT acts better when the number of CT slices is reduced to the SPECT volume and when corresponding pathological lesions appear at both SPECT and CT examinations.
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spelling pubmed-29901172010-12-17 Automatic and manual image fusion of (111)In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging – An evaluation Hedlund, Elisabeth Karlsson, Jan-Erik Starck, Sven-Åke J Med Phys Original Article In the clinical diagnosis of neuroendocrine tumors (NET), the results of examinations, such as high-resolution computed tomography (CT) and single photon computerized tomography (SPECT), have conventionally been interpreted separately. The aim of the present study was to evaluate Hermes Multimodality™ 5.0 H Image Fusion software-based automatic and manual image fusion of SPECT and CT for the localization of NET lesions. Out of 34 NET patients who were examined by means of somatostatin receptor scintigraphy (SRS) with 111In- pentetreotide along with SPECT, 22 patients had a CT examination of the abdomen, which was used in the fusion analysis. SPECT and CT data were fused using software with a registration algorithm based on normalized mutual information. The criteria for acceptable fusion were established at a maximum cranial or caudal dislocation of 25 mm between the images and at a reasonable consensus (in order of less than 1 cm) between outline of the reference organs. The automatic fusion was acceptable in 13 of the 22 examinations, whereas 9 fusions were not. However all the 22 examinations were acceptable at the manual fusion. The result of automatic fusion was better when the slice thickness of 5 mm was applied at CT examination, when the number of slices was below 100 in CT data and when both examinations included uptakes of pathological lesions. Retrospective manual image fusion of SPECT and CT is a relatively inexpensive but reliable method to be used in NET imaging. Automatic image fusion with specified software of SPECT and CT acts better when the number of CT slices is reduced to the SPECT volume and when corresponding pathological lesions appear at both SPECT and CT examinations. Medknow Publications 2010 /pmc/articles/PMC2990117/ /pubmed/21170187 http://dx.doi.org/10.4103/0971-6203.71766 Text en © Journal of Medical Physics http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Hedlund, Elisabeth
Karlsson, Jan-Erik
Starck, Sven-Åke
Automatic and manual image fusion of (111)In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging – An evaluation
title Automatic and manual image fusion of (111)In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging – An evaluation
title_full Automatic and manual image fusion of (111)In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging – An evaluation
title_fullStr Automatic and manual image fusion of (111)In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging – An evaluation
title_full_unstemmed Automatic and manual image fusion of (111)In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging – An evaluation
title_short Automatic and manual image fusion of (111)In-pentetreotide SPECT and diagnostic CT in neuroendocrine tumor imaging – An evaluation
title_sort automatic and manual image fusion of (111)in-pentetreotide spect and diagnostic ct in neuroendocrine tumor imaging – an evaluation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990117/
https://www.ncbi.nlm.nih.gov/pubmed/21170187
http://dx.doi.org/10.4103/0971-6203.71766
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