Biases in the Assessment of Left Ventricular Function by Compressed Sensing Cardiovascular Cine MRI
2
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Purpose: We investigate biases in the assessments of left ventricular function (LVF), by compressed sensing (CS)-cine magnetic resonance imaging (MRI). Materials and Methods: Cardiovascular cine images with short axis view, were obtained for 8 volunteers without CS. LVFs were assessed with subsampled data, with compression factors (CF) of 2, 3, 4, and 8. A semi-automatic segmentation program was used, for the assessment. The assessments by 3 CS methods (ITSC, FOCUSS, and view sharing (VS)), were compared to those without CS. Bland-Altman analysis and paired t-test were used, for comparison. In addition, real-time CS-cine imaging was also performed, with CF of 2, 3, 4, and 8 for the same volunteers. Assessments of LVF were similarly made, for CS data. A fixed compensation technique is suggested, to reduce the bias. Results: The assessment of LVF by CS-cine, includes bias and random noise. Bias appeared much larger than random noise. Median of end-diastolic volume (EDV) with CS-cine (ITSC or FOCUSS) appeared -1.4% to -7.1% smaller, compared to that of standard cine, depending on CF from (2 to 8). End-systolic volume (ESV) appeared +1.6% to +14.3% larger, stroke volume (SV), -2.4% to -16.4% smaller, and ejection fraction (EF), -1.1% to -9.2% smaller, with P < 0.05. Bias was reduced from -5.6% to -1.8% for EF, by compensation applied to real-time CS-cine (CF = 8). Conclusion: Loss of temporal resolution by adopting missing data from nearby cardiac frames, causes an underestimation for EDV, and an overestimation for ESV, resulting in underestimations for SV and EF. The bias is not random. Thus it should be removed or reduced for better diagnosis. A fixed compensation is suggested, to reduce bias in the assessment of LVF.
Abstract
Purpose: We investigate biases in the assessments of left ventricular function (LVF), by compressed sensing (CS)-cine magnetic resonance imaging (MRI). Materials and Methods: Cardiovascular cine images with short axis view, were obtained for 8 volunteers without CS. LVFs were assessed with subsampled data, with compression factors (CF) of 2, 3, 4, and 8. A semi-automatic segmentation program was used, for the assessment. The assessments by 3 CS methods (ITSC, FOCUSS, and view sharing (VS)), were compared to those without CS. Bland-Altman analysis and paired t-test were used, for comparison. In addition, real-time CS-cine imaging was also performed, with CF of 2, 3, 4, and 8 for the same volunteers. Assessments of LVF were similarly made, for CS data. A fixed compensation technique is suggested, to reduce the bias. Results: The assessment of LVF by CS-cine, includes bias and random noise. Bias appeared much larger than random noise. Median of end-diastolic volume (EDV) with CS-cine (ITSC or FOCUSS) appeared -1.4% to -7.1% smaller, compared to that of standard cine, depending on CF from (2 to 8). End-systolic volume (ESV) appeared +1.6% to +14.3% larger, stroke volume (SV), -2.4% to -16.4% smaller, and ejection fraction (EF), -1.1% to -9.2% smaller, with P < 0.05. Bias was reduced from -5.6% to -1.8% for EF, by compensation applied to real-time CS-cine (CF = 8). Conclusion: Loss of temporal resolution by adopting missing data from nearby cardiac frames, causes an underestimation for EDV, and an overestimation for ESV, resulting in underestimations for SV and EF. The bias is not random. Thus it should be removed or reduced for better diagnosis. A fixed compensation is suggested, to reduce bias in the assessment of LVF.
참고문헌 (33)
- Lamb HJ, "Echo planar MRI of the heart on a standard system: validation of measurements of left ventricular function and mass", J Comput Assist Tomogr, 20, pp.942~949 (1996)
- Epstein FH, "MRI of left ventricular function", J Nucl Cardiol, 14, pp.729~744 (2007)
- Donoho DL, "Compressed sensing", IEEE Trans Inf Theory, 52, pp.1289~1306 (2006)
- Baraniuk RG, "Compressive sensing", IEEE Signal Process Mag, 24, pp.118~124 (2007)
- Lustig M, "Sparse MRI: The application of compressed sensing for rapid MR imaging", Magn Reson Med, 58, pp.1182~1195 (2007)
- Candes EJ, "An introduction to compressive sampling", IEEE Signal Process Mag, 25, pp.21~30 (2008)
- Pruessmann KP, "SENSE: sensitivity encoding for fast MRI", Magn Reson Med, 42, pp.952~962 (1999)
- Liang D, "Accelerating SENSE using compressed sensing", Magn Reson Med, 62, pp.1574~1584 (2009)
- Otazo R, "Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI", Magn Reson Med, 64, pp.767~776 (2010)
- Feng L, "Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI", Magn Reson Med, 72, pp.707~717 (2014)
- Benkert T, "Free-breathing volumetric fat", water separation by combining radial sampling, compressed sensing, and parallel imaging, 2017, pp.78, 565~576
- 박진호, "Fast Cardiac CINE MRI by Iterative Truncation of Small Transformed Coefficients", Investigative Magnetic Resonance Imaging, 19(1), pp.19~30 (2015), 대한자기공명의과학회[DOI]
- Aurigemma G, "Evaluation of aortic regurgitation by cardiac cine magnetic resonance imaging: planar analysis and comparison to Doppler echocardiography", Cardiology, 78, pp.340~347 (1991)
- Rodevan O, "Left atrial volumes assessed by three- and twodimensional echocardiography compared to MRI estimates", Int J Card Imaging, 15, pp.397~410 (1999)
- 백소현, "Assessment of Left Ventricular Function with Single Breath-Hold Magnetic Resonance Cine Imaging in Patients with Arrhythmia", Investigative Magnetic Resonance Imaging, 21(1), pp.20~27 (2017), 대한자기공명의과학회[DOI]
- Ngo TA, "Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance", Med Image Anal, 35, pp.159~171 (2017)
- White HD, "Left ventricular end-systolic volume as the major determinant of survival after recovery from myocardial infarction", Circulation, 76, pp.44~51 (1987)
- Lorenz CH, "Normal human right and left ventricular mass, systolic function, and gender differences by cine magnetic resonance imaging", J Cardiovasc Magn Reson, 1, pp.7~21 (1999)
- Wu E, "Infarct size by contrast enhanced cardiac magnetic resonance is a stronger predictor of outcomes than left ventricular ejection fraction or end-systolic volume index: prospective cohort study", Heart, 94, pp.730~736 (2008)
- Muthurangu V, "Real-time assessment of right and left ventricular volumes and function in patients with congenital heart disease by using high spatiotemporal resolution radial k-t SENSE", Radiology, 248, pp.782~791 (2008)
- Miller S, "MR Imaging of the heart with cine true fast imaging with steady-state precession: influence of spatial and temporal resolutions on left ventricular functional parameters", Radiology, 223, pp.263~269 (2002)
- Hsiao A, "Rapid pediatric cardiac assessment of flow and ventricular volume with compressed sensing parallel imaging volumetric cine phasecontrast MRI", AJR Am J Roentgenol, 198, pp.W250~W259 (2012)
- Goebel J, "Compressed sensing cine imaging with high spatial or high temporal resolution for analysis of left ventricular function", J Magn Reson Imaging, 44, pp.366~374 (2016)
- Vincenti G, "Compressed sensing single-breath-hold CMR for fast quantification of LV function, volumes, and mass", JACC Cardiovasc Imaging, 7, pp.882~892 (2014)
- Bassett EC, "Evaluation of highly accelerated real-time cardiac cine MRI in tachycardia", NMR Biomed, 27, pp.175~182 (2014)
- Lin ACW, "Higher resolution cine imaging with compressed sensing for accelerated clinical left ventricular evaluation", J Magn Reson Imaging, 45, pp.1693~1699 (2017)
- Kido T, "Compressed sensing realtime cine cardiovascular magnetic resonance: accurate assessment of left ventricular function in a single-breathhold", J Cardiovasc Magn Reson, 18, pp.50~ (2016)
- Bluemke DA, "Segmented K-space cine breath-hold cardiovascular MR imaging: Part 1. Principles and technique", AJR Am J Roentgenol, 169, pp.395~400 (1997)
- Scheffler K, "Principles and applications of balanced SSFP techniques", Eur Radiol, 13, pp.2409~2418 (2003)
- Jung H, "k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI", Magn Reson Med, 61, pp.103~116 (2009)
- Markl M, "Phase contrast MRI with improved temporal resolution by view sharing: k-space related velocity mapping properties", Magn Reson Imaging, 19, pp.669~676 (2001)
- Lang RM, "Recommendations for chamber quantification: a report from the American Society of Echocardiography's Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology", J Am Soc Echocardiogr, 18, pp.1440~1463 (2005)
- Lang RM, "Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging", Eur Heart J Cardiovasc Imaging, 16, pp.233~270 (2015)