Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography

Chih Yang Hsu, Yimei Li, Yuanyuan Han, Lucas Elijovich, Noah D. Sabin, Tarek Abuelem, Radmehr Torabi, Austin Faught, Chia Ho Hua, Paul Klimo, Thomas E. Merchant, John T. Lucas

Research output: Contribution to journalArticle

Abstract

Background: Cerebral vessel diameter changes objectively and automatically derived from longitudinal magnetic resonance angiography (MRA) facilitate quantification of vessel changes and further modeling. Purpose: To characterize longitudinal changes in intracranial vessel diameter using time-of-flight (TOF) MRA. Study Type: Retrospective longitudinal study. Subject Population: IN all, 112 pediatric patients, aged 9.96 ± 4.59 years, with craniopharyngioma from 2006–2011 scanned annually. Field Strength/Sequence: 1.5T and 3T TOF MRA. Statistical Tests: Chi-square and Wilcoxon–Mann–Whitney tests. Assessment: Manual measurements using interventional angiography was established as a reference standard for diameter measurements. Constant and linear quantile regression with absolute difference, percentage difference, and relative difference was used for outlier detection. Results: Major vessels surrounding the circle of Willis were successfully segmented except for posterior communicating arteries, mostly due to disease-related hypoplasia. Diameter measurements were calculated at 1-mm segments with a median computed vessel diameter of 1.25 mm. Diameter distortion due to registration was within 0.04 mm for 99% of vessel segments. Outlier detection using quantile regression detected less than 4.34% as being outliers. Outliers were more frequent in smaller vessels and proximity to bifurcations (P < 0.001). Data Conclusion: Using the proposed method, objective changes in vessel diameter can be acquired noninvasively from routine longitudinal imaging. High-throughput analyses of imaging-derived vascular trees combined with clinical and treatment parameters will allow rigorous modeling of vessel diameter changes. Level of Evidence: 2. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2019;50:1063–1074.

Original languageEnglish (US)
Pages (from-to)1063-1074
Number of pages12
JournalJournal of Magnetic Resonance Imaging
Volume50
Issue number4
DOIs
StatePublished - Oct 1 2019

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Magnetic Resonance Angiography
Circle of Willis
Craniopharyngioma
Chi-Square Distribution
Blood Vessels
Longitudinal Studies
Linear Models
Angiography
Retrospective Studies
Arteries
Pediatrics
Population
Therapeutics

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Cite this

Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography. / Hsu, Chih Yang; Li, Yimei; Han, Yuanyuan; Elijovich, Lucas; Sabin, Noah D.; Abuelem, Tarek; Torabi, Radmehr; Faught, Austin; Hua, Chia Ho; Klimo, Paul; Merchant, Thomas E.; Lucas, John T.

In: Journal of Magnetic Resonance Imaging, Vol. 50, No. 4, 01.10.2019, p. 1063-1074.

Research output: Contribution to journalArticle

Hsu, CY, Li, Y, Han, Y, Elijovich, L, Sabin, ND, Abuelem, T, Torabi, R, Faught, A, Hua, CH, Klimo, P, Merchant, TE & Lucas, JT 2019, 'Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography', Journal of Magnetic Resonance Imaging, vol. 50, no. 4, pp. 1063-1074. https://doi.org/10.1002/jmri.26699
Hsu, Chih Yang ; Li, Yimei ; Han, Yuanyuan ; Elijovich, Lucas ; Sabin, Noah D. ; Abuelem, Tarek ; Torabi, Radmehr ; Faught, Austin ; Hua, Chia Ho ; Klimo, Paul ; Merchant, Thomas E. ; Lucas, John T. / Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography. In: Journal of Magnetic Resonance Imaging. 2019 ; Vol. 50, No. 4. pp. 1063-1074.
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abstract = "Background: Cerebral vessel diameter changes objectively and automatically derived from longitudinal magnetic resonance angiography (MRA) facilitate quantification of vessel changes and further modeling. Purpose: To characterize longitudinal changes in intracranial vessel diameter using time-of-flight (TOF) MRA. Study Type: Retrospective longitudinal study. Subject Population: IN all, 112 pediatric patients, aged 9.96 ± 4.59 years, with craniopharyngioma from 2006–2011 scanned annually. Field Strength/Sequence: 1.5T and 3T TOF MRA. Statistical Tests: Chi-square and Wilcoxon–Mann–Whitney tests. Assessment: Manual measurements using interventional angiography was established as a reference standard for diameter measurements. Constant and linear quantile regression with absolute difference, percentage difference, and relative difference was used for outlier detection. Results: Major vessels surrounding the circle of Willis were successfully segmented except for posterior communicating arteries, mostly due to disease-related hypoplasia. Diameter measurements were calculated at 1-mm segments with a median computed vessel diameter of 1.25 mm. Diameter distortion due to registration was within 0.04 mm for 99{\%} of vessel segments. Outlier detection using quantile regression detected less than 4.34{\%} as being outliers. Outliers were more frequent in smaller vessels and proximity to bifurcations (P < 0.001). Data Conclusion: Using the proposed method, objective changes in vessel diameter can be acquired noninvasively from routine longitudinal imaging. High-throughput analyses of imaging-derived vascular trees combined with clinical and treatment parameters will allow rigorous modeling of vessel diameter changes. Level of Evidence: 2. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2019;50:1063–1074.",
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AU - Hsu, Chih Yang

AU - Li, Yimei

AU - Han, Yuanyuan

AU - Elijovich, Lucas

AU - Sabin, Noah D.

AU - Abuelem, Tarek

AU - Torabi, Radmehr

AU - Faught, Austin

AU - Hua, Chia Ho

AU - Klimo, Paul

AU - Merchant, Thomas E.

AU - Lucas, John T.

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N2 - Background: Cerebral vessel diameter changes objectively and automatically derived from longitudinal magnetic resonance angiography (MRA) facilitate quantification of vessel changes and further modeling. Purpose: To characterize longitudinal changes in intracranial vessel diameter using time-of-flight (TOF) MRA. Study Type: Retrospective longitudinal study. Subject Population: IN all, 112 pediatric patients, aged 9.96 ± 4.59 years, with craniopharyngioma from 2006–2011 scanned annually. Field Strength/Sequence: 1.5T and 3T TOF MRA. Statistical Tests: Chi-square and Wilcoxon–Mann–Whitney tests. Assessment: Manual measurements using interventional angiography was established as a reference standard for diameter measurements. Constant and linear quantile regression with absolute difference, percentage difference, and relative difference was used for outlier detection. Results: Major vessels surrounding the circle of Willis were successfully segmented except for posterior communicating arteries, mostly due to disease-related hypoplasia. Diameter measurements were calculated at 1-mm segments with a median computed vessel diameter of 1.25 mm. Diameter distortion due to registration was within 0.04 mm for 99% of vessel segments. Outlier detection using quantile regression detected less than 4.34% as being outliers. Outliers were more frequent in smaller vessels and proximity to bifurcations (P < 0.001). Data Conclusion: Using the proposed method, objective changes in vessel diameter can be acquired noninvasively from routine longitudinal imaging. High-throughput analyses of imaging-derived vascular trees combined with clinical and treatment parameters will allow rigorous modeling of vessel diameter changes. Level of Evidence: 2. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2019;50:1063–1074.

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