Automated Observer-independent Acquisition of Cardiac Short-Axis MR Images: A Pilot Study

Lelieveldt, Boudewijn P. F.; Geest, Rob J. van der; Lamb, Hildo J.; Kayser, Hein W. M.; Reiber, Johan H. C.

doi:10.1148/radiol.2212010177

Cited by 39 publications

(32 citation statements)

References 14 publications

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“…This analysis was extended in cases where patients presented with irregular cardiac rhythm, since the presence of extra-systoles and other arrhythmias complicated the organized disposition of sections for volumetric quantitation by the Simpson's technique. Our data do not indicate a significant difference between parameters obtained, but this analysis was more prolonged, especially for the patients with irregular cardiac rhythm, in agreement with the current literature (9,(15)(16)(17) . The utilization of a modified BlandAltman graphic plotting for statistical concordance comparison has not demonstrated any significant variation between ventricular systolic function parameters.…”

Section: Discussionsupporting

confidence: 93%

Avaliação da função cardíaca por ressonância magnética com seqüências em equilíbrio estável: segmentadas × tempo real

2006

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OBJECTIVE: To compare ventricular systolic parameters on segmented and real-time steady-state free precession cine-MRI sequences and ECG-gated MRI in patients presenting or not with cardiac arrhythmias. MATERIALS AND METHODS: Ejection fraction and end-diastolic/end-systolic volumes have been compared in 31 patients, 11 presenting with cardiac arrhythmias, and 20 with regular sinus rhythm, using ECG-gated segmented and real-time sequences. The statistical analysis was performed using Pearson's correlation and Bland-Altman agreement plot, with p < 0.01. RESULTS: Real-time acquisitions demonstrated endocardial borders blurring effects, but both sequences presented a clear, positive correlation: ejection fraction r = 0.94; end-diastolic volume r = 0.93 and end-systolic volume r = 0.98. The assessment of 11 patients with arrhythmias has not demonstrated a statistically significant difference, despite the lower blood pool-myocardial contrast ratio. CONCLUSION: Real-time sequences may be utilized for cardiac function assessment, regardless the patient's cardiac rhythm. Keywords: Cine-RMI; Ventricular function; Steady-state free precession; Real-time; ECG-gated MRI.Avaliação da função cardíaca por ressonância magnética com seqüências em equilíbrio estável: segmentadas × tempo real. OBJETIVO: Comparar os índices de função sistólica ventricular obtidos entre as seqüências de cine-ressonância magnética em equilíbrio estável, em tempo real e acoplada ao eletrocardiograma, em pacientes com ritmo regular ou não. MATERIAIS E MÉTODOS: Foram comparados a fração de ejeção e os volumes diastó-lico e sistólico finais, em 31 pacientes, 11 com ritmo cardíaco irregular e 20 com ritmo cardíaco sinusal regular, utilizando-se seqüências segmentadas acopladas ao eletrocardiograma e em tempo real. O tratamento estatístico foi feito através da correlação de Pearson e a concordância de Bland-Altman, com p < 0,01. RESULTADOS: As aquisições em tempo real demonstraram borramento dos contornos endocárdicos, mas ambas as seqüências tiveram forte correlação positiva entre os valores obtidos: fração de ejeção, r = 0,94; volume diastólico final, r = 0,93; volume sistólico final, r = 0,98. A análise dos 11 pacientes com ritmo irregular não demonstrou diferença estatisticamente significativa, apesar da menor relação de contraste sangue-miocárdio. CONCLUSÃO: Seqüências em tempo real podem ser utilizadas para a análise da função cardíaca, independente do ritmo cardíaco dos pacientes.

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Section: Discussionsupporting

confidence: 93%

Avaliação da função cardíaca por ressonância magnética com seqüências em equilíbrio estável: segmentadas × tempo real

2006

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“…This concept extends previous atlas-based approaches for automated cardiac MR procedures (14,15). Second, trainability of the scan geometry database favorably provides automated atlas generation which is specifically tailored to either the patient population or to institutional or trial-specific preferences.…”

Section: Discussionmentioning

confidence: 72%

Fully automatic geometry planning for cardiac MR imaging and reproducibility of functional cardiac parameters

Frick¹,

Paetsch

Harder

et al. 2011

Magnetic Resonance Imaging

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Purpose: To establish operator-independent, fully automated planning of standard cardiac geometries and to determine the impact on interstudy reproducibility of cardiac functional parameters.Materials and Methods: Cardiac MR imaging was done in 50 patients referred for left-ventricular function assessment. In all patients, first standard manual planning was performed followed by automatic planning (AUTO1) and repeat automatic planning (AUTO2) after repositioning the patient to investigate interstudy reproducibility. Cardiac functional parameters were assessed and cine scans were visually graded on a 4-point scale from nondiagnostic to excellent.Results: Overall success rate of AUTO was 94% with good to excellent geometry planning in >94% of cine standard views. Comparing manual versus fully automated planning, a high agreement of cardiac functional parameters (Lin's concordance correlation coefficient, 0.91 to 0.99) with minimal percent bias (0.24 to 3.84%) was found. In addition, a high interstudy reproducibility of automatic planning was demonstrated (Lin's concordance correlation coefficient, 0.89 to 0.99; percent bias, 0.38 to 5.04%; precision, 3.46 to 9.09%). Conclusion:Fully automated planning of cardiac geometries could reliably be performed in patients showing a variety of cardiovascular pathologies. Standard cardiac geometries were precisely replicated and functional parameters were highly accurate.

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“…The LV long axis is calculated by connecting the LV base center and the apex, which is also used to plan the short-axis stack. The method of fitting a line across centers of all short axis MPRs as shown in [7] and [6] is also applicable. The entire short axis stack can then be planned from base to apex.…”

Section: View Planningmentioning

confidence: 99%

“…Magnetic resonance imaging (MRI) allows morphological characterization of heart structures with precision. For the past decade, there has been a great deal of efforts focused on automatic cardiac segmentation [5,1,2], however, less attention has been paid to automatic and fast planning for cardiac MRI acquisition [7,8,4,6], which still remains challenging in clinical practice.…”

Section: Introductionmentioning

confidence: 99%

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Automatic View Planning for Cardiac MRI Acquisition

Jolly

Georgescu

et al. 2011

Lecture Notes in Computer Science

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Abstract. Conventional cardiac MRI acquisition involves a multi-step approach, requiring a few double-oblique localizers in order to locate the heart and prescribe long-and short-axis views of the heart. This approach is operator-dependent and time-consuming. We propose a new approach to automating and accelerating the acquisition process to improve the clinical workflow. We capture a highly accelerated static 3D full-chest volume through parallel imaging within one breath-hold. The left ventricle is localized and segmented, including left ventricle outflow tract. A number of cardiac landmarks are then detected to anchor the cardiac chambers and calculate standard 2-, 3-, and 4-chamber long-axis views along with a short-axis stack. Learning-based algorithms are applied to anatomy segmentation and anchor detection. The proposed algorithm is evaluated on 173 localizer acquisitions. The entire view planning is fully automatic and takes less than 10 seconds in our experiments.

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Automated Observer-independent Acquisition of Cardiac Short-Axis MR Images: A Pilot Study

Cited by 39 publications

References 14 publications

Avaliação da função cardíaca por ressonância magnética com seqüências em equilíbrio estável: segmentadas × tempo real

Avaliação da função cardíaca por ressonância magnética com seqüências em equilíbrio estável: segmentadas × tempo real

Fully automatic geometry planning for cardiac MR imaging and reproducibility of functional cardiac parameters

Automatic View Planning for Cardiac MRI Acquisition

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