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A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms.

Abstract

Four-dimensional arterial spin labeling magnetic resonance angiography (4D ASL MRA) is a non-invasive medical imaging modality that can be used for anatomical and hemodynamic analysis of the cerebrovascular system. However, it generates a considerable amount of data, which is tedious to analyze visually. As an alternative, medical image processing methods can be used to process the data and present measurements of the geometry and blood flow in the cerebrovascular system to the user, such as vessel radius, tortuosity, blood flow volume, and transit time. Nevertheless, evaluating medical image processing methods developed for this modality requires annotated data, which can be time-consuming and expensive to obtain. Alternatively, virtual simulations are a faster and less expensive option that can be used for initial evaluation of image processing methods. The present work proposes a methodology for generating annotated 4D ASL MRA virtual phantoms, in different scenarios with different acquisition parameter settings. In each scenario, the phantoms are generated using real cerebrovascular geometries of healthy volunteers, where blood flow is simulated according to a mathematical model specifically designed to describe the signal observed in 4D ASL MRA images. Realistic noise is added using an homomorphic approach, designed to replicate noise characteristic of multi-coil acquisitions. In order to exemplify the utility of the phantoms, they are used to evaluate the accuracy of a method to estimate blood flow parameter values, such as relative blood volume and transit time, in different scenarios. The estimated values are then compared to its corresponding virtual ground-truth values. The accuracy of the results is ranked according to the average absolute error. The results of the experiments show that blood flow parameters can be more accurately estimated when blood is magnetically labeled for longer periods of time and when the datasets are acquired with higher temporal resolution. In summary, the present work describes a methodology to create annotated virtual phantoms, which represent a useful alternative for initial evaluation of medical image processing methods for 4D ASL MRA images.

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  • Authors+Show Affiliations

    ,

    Department of Radiology and Hotchkiss Brains Institute University of Calgary, Calgary, AB, Canada. Electronic address: phellan.renzo@ucalgary.ca.

    ,

    Clinic for Radiology and Neuroradiology University Medical Center Schleswig-Holstein, Kiel, Germany.

    ,

    Philips Technologie GmbH Innovative Technologies, Hamburg, Germany.

    ,

    Laboratory of Image Data Science Institute of Computing University of Campinas, Campinas, SP, Brazil.

    ,

    Wellcome Centre for Integrative Neuroimaging FMRIB Nuffield Department of Clinical Neurosciences University of Oxford, Oxford, United Kingdom.

    Department of Radiology and Hotchkiss Brains Institute University of Calgary, Calgary, AB, Canada.

    Source

    Medical image analysis 56: 2019 Jun 13 pg 184-192

    Pub Type(s)

    Journal Article

    Language

    eng

    PubMed ID

    31229762

    Citation

    Phellan, Renzo, et al. "A Methodology for Generating Four-dimensional Arterial Spin Labeling MR Angiography Virtual Phantoms." Medical Image Analysis, vol. 56, 2019, pp. 184-192.
    Phellan R, Lindner T, Helle M, et al. A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms. Med Image Anal. 2019;56:184-192.
    Phellan, R., Lindner, T., Helle, M., Falcão, A. X., Okell, T. W., & Forkert, N. D. (2019). A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms. Medical Image Analysis, 56, pp. 184-192. doi:10.1016/j.media.2019.06.002.
    Phellan R, et al. A Methodology for Generating Four-dimensional Arterial Spin Labeling MR Angiography Virtual Phantoms. Med Image Anal. 2019 Jun 13;56:184-192. PubMed PMID: 31229762.
    * Article titles in AMA citation format should be in sentence-case
    TY - JOUR T1 - A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms. AU - Phellan,Renzo, AU - Lindner,Thomas, AU - Helle,Michael, AU - Falcão,Alexandre X, AU - Okell,Thomas W, AU - Forkert,Nils D, Y1 - 2019/06/13/ PY - 2018/11/14/received PY - 2019/05/31/revised PY - 2019/06/11/accepted PY - 2019/6/24/pubmed PY - 2019/6/24/medline PY - 2019/6/24/entrez KW - Angiography KW - Arterial spin labeling KW - Blood flow analysis KW - Cerebrovascular imaging KW - Phantom models SP - 184 EP - 192 JF - Medical image analysis JO - Med Image Anal VL - 56 N2 - Four-dimensional arterial spin labeling magnetic resonance angiography (4D ASL MRA) is a non-invasive medical imaging modality that can be used for anatomical and hemodynamic analysis of the cerebrovascular system. However, it generates a considerable amount of data, which is tedious to analyze visually. As an alternative, medical image processing methods can be used to process the data and present measurements of the geometry and blood flow in the cerebrovascular system to the user, such as vessel radius, tortuosity, blood flow volume, and transit time. Nevertheless, evaluating medical image processing methods developed for this modality requires annotated data, which can be time-consuming and expensive to obtain. Alternatively, virtual simulations are a faster and less expensive option that can be used for initial evaluation of image processing methods. The present work proposes a methodology for generating annotated 4D ASL MRA virtual phantoms, in different scenarios with different acquisition parameter settings. In each scenario, the phantoms are generated using real cerebrovascular geometries of healthy volunteers, where blood flow is simulated according to a mathematical model specifically designed to describe the signal observed in 4D ASL MRA images. Realistic noise is added using an homomorphic approach, designed to replicate noise characteristic of multi-coil acquisitions. In order to exemplify the utility of the phantoms, they are used to evaluate the accuracy of a method to estimate blood flow parameter values, such as relative blood volume and transit time, in different scenarios. The estimated values are then compared to its corresponding virtual ground-truth values. The accuracy of the results is ranked according to the average absolute error. The results of the experiments show that blood flow parameters can be more accurately estimated when blood is magnetically labeled for longer periods of time and when the datasets are acquired with higher temporal resolution. In summary, the present work describes a methodology to create annotated virtual phantoms, which represent a useful alternative for initial evaluation of medical image processing methods for 4D ASL MRA images. SN - 1361-8423 UR - https://www.unboundmedicine.com/medline/citation/31229762/A_methodology_for_generating_four-dimensional_arterial_spin_labeling_MR_angiography_virtual_phantoms L2 - https://linkinghub.elsevier.com/retrieve/pii/S1361-8415(19)30052-0 DB - PRIME DP - Unbound Medicine ER -