Validation of a robust method for quantification of three‐dimensional growth of the thoracic aorta using deformable image registration.
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| Title: | Validation of a robust method for quantification of three‐dimensional growth of the thoracic aorta using deformable image registration. |
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| Authors: | Bian, Zhangxing1,2 (AUTHOR), Zhong, Jiayang1,2 (AUTHOR), Dominic, Jeffrey1,2 (AUTHOR), Christensen, Gary E.3 (AUTHOR), Hatt, Charles R.1,4 (AUTHOR), Burris, Nicholas S.1,5 (AUTHOR) nburris@med.umich.edu |
| Source: | Medical Physics. Apr2022, Vol. 49 Issue 4, p2514-2530. 17p. |
| Subjects: | Aorta, Thoracic aorta, Image registration, Thoracic aneurysms, Measurement errors, Computed tomography, Units of measurement |
| Abstract: | Purpose: Accurate assessment of thoracic aortic aneurysm (TAA) growth is important for appropriate clinical management. Maximal aortic diameter is the primary metric that is used to assess growth, but it suffers from substantial measurement variability. A recently proposed technique, termed vascular deformation mapping (VDM), is able to quantify three‐dimensional aortic growth using clinical computed tomography angiography (CTA) data using an approach based on deformable image registration (DIR). However, the accuracy and robustness of VDM remains undefined given the lack of ground truth from clinical CTA data, and, furthermore, the performance of VDM relative to standard manual diameter measurements is unknown. Methods: To evaluate the performance of the VDM pipeline for quantifying aortic growth, we developed a novel and systematic evaluation process to generate 76 unique synthetic CTA growth phantoms (based on 10 unique cases) with variable degrees and locations of aortic wall deformation. Aortic deformation was quantified using two metrics: area ratio (AR), defined as the ratio of surface area in triangular mesh elements and the magnitude of deformation in the normal direction (DiN) relative to the aortic surface. Using these phantoms, we further investigated the effects on VDM's measurement accuracy resulting from factors that influence the quality of clinical CTA data such as respiratory translations, slice thickness, and image noise. Lastly, we compare the measurement error of VDM TAA growth assessments against two expert raters performing standard diameter measurements of synthetic phantom images. Results: Across our population of 76 synthetic growth phantoms, the median absolute error was 0.063 (IQR: 0.073–0.054) for AR and 0.181 mm (interquartile range [IQR]: 0.214–0.143 mm) for DiN. Median relative error was 1.4% for AR and 3.3%$3.3\%$ for DiN at the highest tested noise level (contrast‐to‐noise ratio [CNR] = 2.66). Error in VDM output increased with slice thickness, with the highest median relative error of 1.5% for AR and 4.1% for DiN at a slice thickness of 2.0 mm. Respiratory motion of the aorta resulted in maximal absolute error of 3% AR and 0.6 mm in DiN, but bulk translations in aortic position had a very small effect on measured AR and DiN values (relative errors <1%$< 1\%$). VDM‐derived measurements of magnitude and location of maximal diameter change demonstrated significantly high accuracy and lower variability compared to two expert manual raters (p<0.03$p<0.03$ across all comparisons). Conclusions: VDM yields an accurate, three‐dimensional assessment of aortic growth in TAA patients and is robust to factors such as image noise, respiration‐induced translations, and differences in patient position. Further, VDM significantly outperformed two expert manual raters in assessing the magnitude and location of aortic growth despite optimized experimental measurement conditions. These results support validation of the VDM technique for accurate quantification of aortic growth in patients and highlight several important advantages over diameter measurements. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 156252246 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Validation of a robust method for quantification of three‐dimensional growth of the thoracic aorta using deformable image registration. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bian%2C+Zhangxing%22">Bian, Zhangxing</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhong%2C+Jiayang%22">Zhong, Jiayang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dominic%2C+Jeffrey%22">Dominic, Jeffrey</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Christensen%2C+Gary+E%2E%22">Christensen, Gary E.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hatt%2C+Charles+R%2E%22">Hatt, Charles R.</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burris%2C+Nicholas+S%2E%22">Burris, Nicholas S.</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<i> nburris@med.umich.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Apr2022, Vol. 49 Issue 4, p2514-2530. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Aorta%22">Aorta</searchLink><br /><searchLink fieldCode="DE" term="%22Thoracic+aorta%22">Thoracic aorta</searchLink><br /><searchLink fieldCode="DE" term="%22Image+registration%22">Image registration</searchLink><br /><searchLink fieldCode="DE" term="%22Thoracic+aneurysms%22">Thoracic aneurysms</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+errors%22">Measurement errors</searchLink><br /><searchLink fieldCode="DE" term="%22Computed+tomography%22">Computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Units+of+measurement%22">Units of measurement</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Accurate assessment of thoracic aortic aneurysm (TAA) growth is important for appropriate clinical management. Maximal aortic diameter is the primary metric that is used to assess growth, but it suffers from substantial measurement variability. A recently proposed technique, termed vascular deformation mapping (VDM), is able to quantify three‐dimensional aortic growth using clinical computed tomography angiography (CTA) data using an approach based on deformable image registration (DIR). However, the accuracy and robustness of VDM remains undefined given the lack of ground truth from clinical CTA data, and, furthermore, the performance of VDM relative to standard manual diameter measurements is unknown. Methods: To evaluate the performance of the VDM pipeline for quantifying aortic growth, we developed a novel and systematic evaluation process to generate 76 unique synthetic CTA growth phantoms (based on 10 unique cases) with variable degrees and locations of aortic wall deformation. Aortic deformation was quantified using two metrics: area ratio (AR), defined as the ratio of surface area in triangular mesh elements and the magnitude of deformation in the normal direction (DiN) relative to the aortic surface. Using these phantoms, we further investigated the effects on VDM's measurement accuracy resulting from factors that influence the quality of clinical CTA data such as respiratory translations, slice thickness, and image noise. Lastly, we compare the measurement error of VDM TAA growth assessments against two expert raters performing standard diameter measurements of synthetic phantom images. Results: Across our population of 76 synthetic growth phantoms, the median absolute error was 0.063 (IQR: 0.073–0.054) for AR and 0.181 mm (interquartile range [IQR]: 0.214–0.143 mm) for DiN. Median relative error was 1.4% for AR and 3.3%$3.3\%$ for DiN at the highest tested noise level (contrast‐to‐noise ratio [CNR] = 2.66). Error in VDM output increased with slice thickness, with the highest median relative error of 1.5% for AR and 4.1% for DiN at a slice thickness of 2.0 mm. Respiratory motion of the aorta resulted in maximal absolute error of 3% AR and 0.6 mm in DiN, but bulk translations in aortic position had a very small effect on measured AR and DiN values (relative errors <1%$< 1\%$). VDM‐derived measurements of magnitude and location of maximal diameter change demonstrated significantly high accuracy and lower variability compared to two expert manual raters (p<0.03$p<0.03$ across all comparisons). Conclusions: VDM yields an accurate, three‐dimensional assessment of aortic growth in TAA patients and is robust to factors such as image noise, respiration‐induced translations, and differences in patient position. Further, VDM significantly outperformed two expert manual raters in assessing the magnitude and location of aortic growth despite optimized experimental measurement conditions. These results support validation of the VDM technique for accurate quantification of aortic growth in patients and highlight several important advantages over diameter measurements. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mp.15496 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2514 Subjects: – SubjectFull: Aorta Type: general – SubjectFull: Thoracic aorta Type: general – SubjectFull: Image registration Type: general – SubjectFull: Thoracic aneurysms Type: general – SubjectFull: Measurement errors Type: general – SubjectFull: Computed tomography Type: general – SubjectFull: Units of measurement Type: general Titles: – TitleFull: Validation of a robust method for quantification of three‐dimensional growth of the thoracic aorta using deformable image registration. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bian, Zhangxing – PersonEntity: Name: NameFull: Zhong, Jiayang – PersonEntity: Name: NameFull: Dominic, Jeffrey – PersonEntity: Name: NameFull: Christensen, Gary E. – PersonEntity: Name: NameFull: Hatt, Charles R. – PersonEntity: Name: NameFull: Burris, Nicholas S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 00942405 Numbering: – Type: volume Value: 49 – Type: issue Value: 4 Titles: – TitleFull: Medical Physics Type: main |
| ResultId | 1 |
