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  1. Article ; Online: Dark Blood Contrast-Enhanced Brain MRI Using Echo-uT

    Edelman, Robert R / Leloudas, Nondas / Ankenbrandt, William J / Walker, Matthew T / Bobustuc, George C / Bailes, Julian E / Pruitt, Aaron A / Koktzoglou, Ioannis

    Journal of magnetic resonance imaging : JMRI

    2023  

    Abstract: Background: The widely used magnetization-prepared rapid gradient-echo (MPRAGE) sequence makes enhancing lesions and blood vessels appear bright after gadolinium administration. However, dark blood imaging using T1-weighted Sampling Perfection with ... ...

    Abstract Background: The widely used magnetization-prepared rapid gradient-echo (MPRAGE) sequence makes enhancing lesions and blood vessels appear bright after gadolinium administration. However, dark blood imaging using T1-weighted Sampling Perfection with Application optimized Contrast using different flip angle Evolution (T1 SPACE) can be advantageous since it improves the conspicuity of small metastases and leptomeningeal disease. As a potential alternative to T1 SPACE, we evaluated a new dark blood sequence called echo-uT
    Purpose: We compared the performance of echo-uT
    Study type: Retrospective, IRB approved.
    Subjects/phantom: Phantom to assess flow properties of echo-uT
    Field strength/sequences: 3 Tesla/MPRAGE, T1 SPACE, Dixon fid-uT
    Assessment: Flow phantom signal vs. velocity as a function of flip angle and sequence. Qualitative image assessment on 4-point scale. Quantitative evaluation of tumor-to-brain contrast, apparent contrast-to-noise ratio (aCNR), and vessel-to-brain aCNR.
    Statistical tests: Friedman and Mann-Whitney U tests. A P value <0.05 was considered statistically significant.
    Results: In the phantom, echo-uT
    Data conclusion: Volumetric dark blood contrast-enhanced brain MRI is feasible using echo-uT
    Evidence level: 3 TECHNICAL EFFICACY: Stage 1.
    Language English
    Publishing date 2023-11-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1146614-5
    ISSN 1522-2586 ; 1053-1807
    ISSN (online) 1522-2586
    ISSN 1053-1807
    DOI 10.1002/jmri.29124
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A method to correct background phase offset for phase-contrast MRI in the presence of steady flow and spatial wrap-around artifact.

    Pruitt, Aaron A / Jin, Ning / Liu, Yingmin / Simonetti, Orlando P / Ahmad, Rizwan

    Magnetic resonance in medicine

    2018  Volume 81, Issue 4, Page(s) 2424–2438

    Abstract: Purpose: Background phase offsets in phase-contrast MRI are often corrected using polynomial regression; however, correction performance degrades when temporally invariant outliers such as steady flow or spatial wrap-around artifact are present. We ... ...

    Abstract Purpose: Background phase offsets in phase-contrast MRI are often corrected using polynomial regression; however, correction performance degrades when temporally invariant outliers such as steady flow or spatial wrap-around artifact are present. We describe and validate an iterative method called automatic rejection of temporally invariant outliers (ARTO), which excludes these outliers from the fitting process.
    Methods: The ARTO method iteratively removes pixels with large polynomial regression errors analyzed by a Gaussian mixture model fitting of the residual distribution. A total of 150 trials of a simulated phantom (75 with wrap-around artifact) and 125 phase-contrast MRI cines from 22 healthy subjects (48 with wrap-around artifact) were used for validation. Background phase offsets were corrected using second-order weighted regularized least squares (WRLS) with and without ARTO. Flow volumes after WRLS and WRLS+ARTO corrections were compared with the known truth (phantom) and stationary phantom reference (in vivo) using Bland-Altman analysis. The ratio between the pulmonary flow and the systemic flow was also computed in a subset of 6 subjects.
    Results: In the simulated phantom, compared with WRLS and no correction, correction with WRLS+ARTO produced superior agreement in volumetric flow quantification with the known truth. In vivo, WRLS+ARTO also produced superior agreement with stationary phantom-corrected volumetric flow compared with WRLS and no correction. In data sets with wrap-around artifact, WRLS produced significantly larger variance in the pulmonary flow and systemic flow ratio than stationary phantom correction (P = .0008).
    Conclusion: The proposed method provides automatic exclusion of temporally invariant outliers and produces flow quantification results comparable to stationary phantom correction.
    MeSH term(s) Adult ; Algorithms ; Aorta, Thoracic/diagnostic imaging ; Artifacts ; Computer Simulation ; Healthy Volunteers ; Hemodynamics ; Humans ; Image Processing, Computer-Assisted/methods ; Least-Squares Analysis ; Magnetic Resonance Imaging ; Models, Theoretical ; Normal Distribution ; Phantoms, Imaging ; Prospective Studies ; Pulmonary Artery/diagnostic imaging ; Regression Analysis ; Stroke Volume ; Young Adult
    Language English
    Publishing date 2018-11-15
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 605774-3
    ISSN 1522-2594 ; 0740-3194
    ISSN (online) 1522-2594
    ISSN 0740-3194
    DOI 10.1002/mrm.27572
    Database MEDical Literature Analysis and Retrieval System OnLINE

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