Improved workflow for quantifying left ventricular function via cardiorespiratory‐resolved analysis of free‐breathing MR real‐time cines

Wu, Yin; Wan, Qian; Zhao, Jing; Liu, Xin; Zheng, Hairong; Chung, Yiu‐Cho; Chen, Yu‐Cheng

doi:10.1002/jmri.25618

Cited by 5 publications

(7 citation statements)

References 37 publications

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“…This respiratory variation in cardiac function was seen in all volunteers and similar findings have been reported . Only one study has, to our knowledge, presented LV volumes resolved over the entire respiratory cycle .…”

Section: Discussionsupporting

confidence: 88%

“…Previous CMR methods used for distinguishing CP from restrictive cardiomyopathy have involved strain measurements during breath‐holding and respiratory‐induced septal excursion in 2‐dimensional (2D) images . Other CMR methods have studied the respiratory variation in cardiac function by measuring flow and ventricular dimensions ; however, these methods provide either an indirect measure of ventricular filling or a measurement of local changes only. Furthermore, 2D techniques suffer from through‐plane motion during respiration.…”

Section: Introductionmentioning

confidence: 99%

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Respiratory variation in left ventricular cardiac function with 3D double golden‐angle whole‐heart cine imaging

Holst

Sigfridsson

2017

Magnetic Resonance in Med

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Respiratory variation in left ventricular cardiac function with 3D double golden‐angle whole‐heart cine imaging

Holst

Sigfridsson

2017

Magnetic Resonance in Med

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“…Comparable trends in breathing-induced changes in LV volumes were observed previously [37,38]; the end-inspiratory state during breathing investigated in the prior studies, however, cannot be directly compared to inspiratory breath-holding, with closed glottis. Various studies analyzed the feasibility of LV volumetric function assessment during breathing using cine real-time or cine real-time compressed sensing imaging techniques in comparison to standard segmented cine multi-breath-hold imaging as a reference standard; these studies yielded contradictory results regarding differences in systolic LV functional parameters acquired during breath-holding and breathing [18,[22][23][24][32][33][34][35]. The discrepancies between the results could be explained by differences in breathing and breath-hold protocols (e.g., sequence techniques, spatial and temporal resolutions, post-processing), different breath-hold maneuvers, as well as the investigation of small numbers of subjects.…”

Section: Discussionmentioning

confidence: 99%

“…It has, however, been shown that breath-holding impacts various cardiovascular parameters [25][26][27][28][29][30][31]; it is therefore tempting to speculate that intrathoracic pressure differences between breath-holding and breathing could cause alterations in cardiac MRI-based parameters of cardiac function. Studies comparing systolic LV functional parameters acquired from cine real-time imaging during breathing and standard multi-breath-hold segmented cine image acquisition have yielded conflicting results on the effect of breath-holding on LV volumes and ejection fraction (EF) [18][19][20][21][22][23][24][32][33][34][35], suggesting that the different sequence techniques employed might have masked breathing-induced physiological alterations [27][28][29]. Since inherent differences between breath-hold and breathing measurements would have implications for follow-up measurements in different respiratory states or comparison of functional parameters derived from different imaging modalities (e.g.…”

Section: Introductionmentioning

confidence: 99%

Differences in left ventricular and left atrial function assessed during breath-holding and breathing

Reiter

Kräuter

et al. 2021

European Journal of Radiology

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To analyze differences in systolic and diastolic left ventricular (LV) as well as left atrial (LA) function parameters obtained from identical cardiac magnetic resonance (MR) imaging techniques during inspiratory breath-holding and breathing (breath-hold to breathing differences). Method: 56 subjects without signs of heart failure (23/33 male/female, age 58 ± 14 years) underwent 3 T MR cine real-time and transmitral phase contrast imaging with the same spatial and temporal resolution during inspiratory breath-holding and free breathing. LV and LA volumetric function parameters were derived from segmentation of cine series, transmitral peak velocities and early-diastolic myocardial peak velocity from phase contrast series. Corresponding breath-hold and breathing parameters were compared by Bland-Altman analysis; repeatability of breath-hold and breathing measurements was quantified by variance component analysis. p < 0.05 was regarded as statistically significant. Results: Mean differences between results obtained during inspiratory breath-holding vs. breathing were significant for LV volumetric function (end-diastolic volume=− 7 mL, p = 0.002; end-systolic volume=− 7 mL, p < 0.001; ejection fraction = 3 %, p < 0.001; peak ejection rate = 22 mL/s, p = 0.002; early-diastolic peak filling rate=− 34 mL/s, p = 0.025), LA volumetric function (maximum volume=-6 mL, p < 0.001; total ejection fraction=-4%, p < 0.001; active ejection fraction=-2%, p = 0.013; before contraction ejection fraction=-4%, p < 0.001) and early-diastolic velocities (transmitral=-6 cm/s, p < 0.001; tissue velocity=-1.8 cm/s, p < 0.001). Standard deviations of breath-hold-to-breathing differences exceeded the corresponding repeatabilities of breathhold and breathing measurements. Conclusions: Systolic and diastolic LV and LA function parameters acquired during inspiratory breath-holding and breathing differ, and large inter-individual breath-hold-to-breathing variations are possible. Thus, the breathing state should be taken into account, especially when comparing results in patient follow-up acquired in different respiratory states.

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“…After image reconstruction, one complete heartbeat from each slice can be used for cardiac function quantification. To get accurate and reproducible cardiac function measurements, all selected heartbeats must belong to a single respiratory phase, e.g., peak-expiration (4,5). Right ventricular quantification, in particular, has been shown to be sensitive to the respiratory phase (6).…”

Section: Introductionmentioning

confidence: 99%

Automatic image-based respiratory signal extraction in real-time CMR

Chen,

Liu,

Simonetti

et al. 2020

Preprint

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To develop a fully automatic method for extraction and directionality determination of respiratory signal in free-breathing, real-time (RT) cardiac MRI. Methods:The respiratory signal is extracted by a principal component analysis method from RT cine images. Then, a two-step procedure is used to determine the directionality (sign) of the respiratory signal. First, the signal polarity of all slices is made consistent with a reference slice.Second, a global sign correction is performed by maximizing the correlation of the respiratory signal with the zeroth-moment center curve. The proposed method is evaluated in multi-slice RT cine from eleven volunteers and two patients. The motion in a manually selected region-ofinterest is used as reference.Results: The extracted respiratory signal using the proposed method exhibits high, positive correlation with the reference in all cases and is more robust compared to a recently proposed method. To demonstrate its clinical utility, the method is used to identify heartbeats from inspiratory and expiratory phases and, in turn, to account for respiration-induced changes in the cardiac output. Conclusions:The proposed method enables fully automatic extraction and directionality determinations of respiratory signal from RT cardiac cine images, allowing accurate cardiac function quantification.

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Improved workflow for quantifying left ventricular function via cardiorespiratory‐resolved analysis of free‐breathing MR real‐time cines

Abstract: 2 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:905-914.

Cited by 5 publications

References 37 publications

Respiratory variation in left ventricular cardiac function with 3D double golden‐angle whole‐heart cine imaging

Respiratory variation in left ventricular cardiac function with 3D double golden‐angle whole‐heart cine imaging

Differences in left ventricular and left atrial function assessed during breath-holding and breathing

Automatic image-based respiratory signal extraction in real-time CMR

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