An evaluation of data-driven motion estimation in comparison to the usage of external-surrogates in cardiac SPECT imaging.
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| Title: | An evaluation of data-driven motion estimation in comparison to the usage of external-surrogates in cardiac SPECT imaging. |
|---|---|
| Authors: | Mukherjee, Joyeeta Mitra1 joyeeta.mitra@umassmed.edu, Hutton, Brian F2,3, Johnson, Karen L1, Pretorius, P Hendrik1, King, Michael A1 |
| Source: | Physics in Medicine & Biology. 11/7/2013, Vol. 58 Issue 21, p7625-7646. 22p. |
| Subjects: | Motion estimation (Signal processing), Photon emission, Computed tomography, Attenuation (Physics), Entropy, Monte Carlo method |
| Abstract: | Motion estimation methods in single photon emission computed tomography (SPECT) can be classified into methods which depend on just the emission data (data-driven), or those that use some other source of information such as an external surrogate. The surrogate-based methods estimate the motion exhibited externally which may not correlate exactly with the movement of organs inside the body. The accuracy of data-driven strategies on the other hand is affected by the type and timing of motion occurrence during acquisition, the source distribution, and various degrading factors such as attenuation, scatter, and system spatial resolution. The goal of this paper is to investigate the performance of two data-driven motion estimation schemes based on the rigid-body registration of projections of motion-transformed source distributions to the acquired projection data for cardiac SPECT studies. Comparison is also made of six intensity based registration metrics to an external surrogate-based method. In the data-driven schemes, a partially reconstructed heart is used as the initial source distribution. The partially-reconstructed heart has inaccuracies due to limited angle artifacts resulting from using only a part of the SPECT projections acquired while the patient maintained the same pose. The performance of different cost functions in quantifying consistency with the SPECT projection data in the data-driven schemes was compared for clinically realistic patient motion occurring as discrete pose changes, one or two times during acquisition. The six intensity-based metrics studied were mean-squared difference, mutual information, normalized mutual information (NMI), pattern intensity (PI), normalized cross-correlation and entropy of the difference. Quantitative and qualitative analysis of the performance is reported using Monte-Carlo simulations of a realistic heart phantom including degradation factors such as attenuation, scatter and system spatial resolution. Further the visual appearance of motion-corrected images using data-driven motion estimates was compared to that obtained using the external motion-tracking system in patient studies. Pattern intensity and normalized mutual information cost functions were observed to have the best performance in terms of lowest average position error and stability with degradation of image quality of the partial reconstruction in simulations. In all patients, the visual quality of PI-based estimation was either significantly better or comparable to NMI-based estimation. Best visual quality was obtained with PI-based estimation in one of the five patient studies, and with external-surrogate based correction in three out of five patients. In the remaining patient study there was little motion and all methods yielded similar visual image quality. [ABSTRACT FROM AUTHOR] |
| © 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 94292115 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An evaluation of data-driven motion estimation in comparison to the usage of external-surrogates in cardiac SPECT imaging. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mukherjee%2C+Joyeeta+Mitra%22">Mukherjee, Joyeeta Mitra</searchLink><relatesTo>1</relatesTo><i> joyeeta.mitra@umassmed.edu</i><br /><searchLink fieldCode="AR" term="%22Hutton%2C+Brian+F%22">Hutton, Brian F</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Johnson%2C+Karen+L%22">Johnson, Karen L</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pretorius%2C+P+Hendrik%22">Pretorius, P Hendrik</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22King%2C+Michael+A%22">King, Michael A</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Physics+in+Medicine+%26+Biology%22">Physics in Medicine & Biology</searchLink>. 11/7/2013, Vol. 58 Issue 21, p7625-7646. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Motion+estimation+%28Signal+processing%29%22">Motion estimation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Photon+emission%22">Photon emission</searchLink><br /><searchLink fieldCode="DE" term="%22Computed+tomography%22">Computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Attenuation+%28Physics%29%22">Attenuation (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Entropy%22">Entropy</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Motion estimation methods in single photon emission computed tomography (SPECT) can be classified into methods which depend on just the emission data (data-driven), or those that use some other source of information such as an external surrogate. The surrogate-based methods estimate the motion exhibited externally which may not correlate exactly with the movement of organs inside the body. The accuracy of data-driven strategies on the other hand is affected by the type and timing of motion occurrence during acquisition, the source distribution, and various degrading factors such as attenuation, scatter, and system spatial resolution. The goal of this paper is to investigate the performance of two data-driven motion estimation schemes based on the rigid-body registration of projections of motion-transformed source distributions to the acquired projection data for cardiac SPECT studies. Comparison is also made of six intensity based registration metrics to an external surrogate-based method. In the data-driven schemes, a partially reconstructed heart is used as the initial source distribution. The partially-reconstructed heart has inaccuracies due to limited angle artifacts resulting from using only a part of the SPECT projections acquired while the patient maintained the same pose. The performance of different cost functions in quantifying consistency with the SPECT projection data in the data-driven schemes was compared for clinically realistic patient motion occurring as discrete pose changes, one or two times during acquisition. The six intensity-based metrics studied were mean-squared difference, mutual information, normalized mutual information (NMI), pattern intensity (PI), normalized cross-correlation and entropy of the difference. Quantitative and qualitative analysis of the performance is reported using Monte-Carlo simulations of a realistic heart phantom including degradation factors such as attenuation, scatter and system spatial resolution. Further the visual appearance of motion-corrected images using data-driven motion estimates was compared to that obtained using the external motion-tracking system in patient studies. Pattern intensity and normalized mutual information cost functions were observed to have the best performance in terms of lowest average position error and stability with degradation of image quality of the partial reconstruction in simulations. In all patients, the visual quality of PI-based estimation was either significantly better or comparable to NMI-based estimation. Best visual quality was obtained with PI-based estimation in one of the five patient studies, and with external-surrogate based correction in three out of five patients. In the remaining patient study there was little motion and all methods yielded similar visual image quality. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>© 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1088/0031-9155/58/21/7625 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 7625 Subjects: – SubjectFull: Motion estimation (Signal processing) Type: general – SubjectFull: Photon emission Type: general – SubjectFull: Computed tomography Type: general – SubjectFull: Attenuation (Physics) Type: general – SubjectFull: Entropy Type: general – SubjectFull: Monte Carlo method Type: general Titles: – TitleFull: An evaluation of data-driven motion estimation in comparison to the usage of external-surrogates in cardiac SPECT imaging. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mukherjee, Joyeeta Mitra – PersonEntity: Name: NameFull: Hutton, Brian F – PersonEntity: Name: NameFull: Johnson, Karen L – PersonEntity: Name: NameFull: Pretorius, P Hendrik – PersonEntity: Name: NameFull: King, Michael A IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 11 Text: 11/7/2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 00319155 Numbering: – Type: volume Value: 58 – Type: issue Value: 21 Titles: – TitleFull: Physics in Medicine & Biology Type: main |
| ResultId | 1 |
