The role of 4D flow MRI for clinical applications in cardiovascular disease: current status and future perspectives

Introduction

Transthoracic echocardiography (TTE) is used to assess local blood flow velocity, and is widely used in routine examinations of cardiovascular diseases. This technique has many advantages, including its wide availability and facile operation; however, due to variable probe orientation and variabilities between observers, its reproducibility is limited. Additionally, TTE can only detect the velocity component, which is parallel to the sensor. Computed tomography (CT) provides a relatively fast three-dimensional (3D) scan with good spatial resolution, which shows the contrast medium’s distribution pattern in blood vessels at any given moment. However, currently, CT has limited value in measuring the blood flow velocity (1). The creative time-resolved four-dimensional (4D) phase-contrast (PC) magnetic resonance imaging (MRI) technique (referred to hereafter as 4D flow MRI) can overcome the shortcomings of the above-mentioned methods. 4D flow MRI shows 3D blood flow patterns and hemodynamics with velocity encoding (VENC) along 3 spatial directions. It contributes to understandings of blood flow characteristics in normal and pathologically altered situations, and provides excellent 3D coverage of both the anatomy and velocity, which produces accurate estimates of the lengths of vessels and hemodynamic information. With the exception of absolute blood flow quantification, 4D flow MRI can estimate helical blood flow, and thus provides a more detailed assessment of cardiovascular diseases (2). Understanding normal and abnormal blood flow patterns of the cardiovascular system will also provide insights into the complex pathophysiological reasons for diseases of the heart and large vessels (3). The present review sought to illustrate the hemodynamics and morphology of blood flow by 4D flow MRI with a focus on the cardiovascular system.

From 2D to 4D

2D velocity-encoded PC flow MRI (2D flow MRI) was introduced in the late 1980s and gradually developed into a reliable noninvasive blood flow and velocity measurement tool, which has been used to assess stroke (4). It has been widely verified in normal and multiple cardiovascular diseases (5,6). Previous studies have shown that 2D flow MRI is reliable and comparable to TTE in examining aortic and pulmonary arteries (7). However, the expertise of a skilled operator is required to identify the vessel of interest, and it can only quantify flow velocities perpendicular to the direction of the imaging slice (8). In addition, it is impossible to visualize the precise position before planning the acquisition plane, which limits the veracity of the measurements. For these reasons, 2D flow MRI significantly underestimates flow rate and velocity (9).

Recently, 4D flow MRI was introduced as a new method for visualizing and quantifying multiple flow patterns of the heart and vessels (10). 2D flow MRI has 1 orientation, while 4D flow MRI allows VENC in 3 principal spatial directions, and thus appears to be a credible tool that reflects the true pathophysiological state of blood flow. Volume acquisition and measurement of reflux are easy in 4D flow MRI, as it covers the whole heart and does not require specialized cardiac anatomy knowledge or specific imaging planes for acquisition (11). Another advantage of 4D flow MRI is that the analysis plane can be set anywhere within the acquisition area offline (8). One study of healthy volunteers reported that the flow parameters quantified by 4D flow MRI can be accurately reproduced (12). 4D flow MRI is thus a suitable technology for comprehensively evaluating the blood flow and energy distribution of the heart and great vessels in healthy people and in patients with cardiovascular disorders (3). Table 1 compares 2D PC MRI measurements and 4D flow data.

Table 1 The difference between 2D PC MRI and 4D flow MRI
Full table

Features of 4D flow MRI

4D flow MRI data are generally acquired during free breathing, and retrospective electrocardiogram vector control with an end-expiratory navigation gate is applied to the cross 3-way blood flow coding gradient-echo pulse sequence (13). 4D flow MRI can retrospectively evaluate flow information for the entire vascular system from any image plane, as both the anatomy and the flow information are applied to every pixel in a 3D volume. 4D flow MRI further has the ability of time-resolved cine velocity acquisition. It should be noted that this time dimension does not reflect real time, but is an effective average collected from many heart cycles. Thus, any unstable or pulsating changes in blood flow are not overly influential. Multiple techniques are used in 4D flow MRI data visualization, including streamline, isosurface, vector field, and volume rendering. Additionally, volumetric acquisition helps to better quantify complex cardiac blood flow (14). In addition to providing traditional 2D PC indexes, including flow direction, forward flow volume, reserve flow volume, regurgitation fraction, and peak velocity, 4D flow MRI also comprehensively provides a retrospective functional assessment of blood flow and helps visualize various forms of blood flow pathways (1). These multifarious hemodynamic biomarkers, such as turbulent kinetic energy (TKE) (15), wall shear stress (WSS) (16), pulse wave velocity (PWV) (17), vorticity (18), and pressure gradient (19), have potential clinical application value. The definitions and applications of these biomarkers are displayed in Table 2 and Figure 1.

Table 2 Summary of hemodynamic parameters and their implication
Full table

Figure 1 Hemodynamic parameters and clinical applications of 4D flow MRI. MRI, magnetic resonance imaging; WSS, wall shear stress; KE, kinetic energy; TKE, turbulent kinetic energy; PWV, pulse wave velocity.

Application to great vessels and cardiac diseases

To date, 4D flow MRI has been used in intracranial and cardiac vascular imaging. In relation to the cardiovascular system, 4D flow MRI is mainly used for congenital heart disease (CHD), but it also has important applications in other cardiovascular diseases, such as aortic aneurysm, aortic stenosis, pulmonary hypertension, and cardiac valvular disease (20) (see Table 3).

Table 3 Summary of selected studies applying 4D flow MRI to the heart and vessels
Full table

Great vessel diseases

Aortic disease (stiffness, aneurysm, coarctation, dissection, and Marfan syndrome)

Aortic stiffness is an early sign of functional change, arterial hemodynamic remodeling, and cardiovascular aging. PWV, as detected by 4D flow MRI, has recently been used for full volume assessments of the aorta. It has been shown to be highly accurate in both healthy subjects and patients with complicated aortic geometries (21). PWV is defined as the propagation distance of the pressure wave between 2 anatomical locations divided by the propagation time. Harloff et al. used the aortic PWV detected by 4D flow MRI to measure aortic stiffness (22) and found that as age increased, PWV increased from 4.93±0.54 to 8.06±1.03 m/s. Additionally, PWV was significantly higher in males than females (P<0.001). Atherosclerosis or size changes of the arteries can cause complex geometry curvature or heterogeneous stiffness along the arterial tree. Compared to 2D PC-based methods, 4D flow PWV is more suitable for complex diseases.

Aortic aneurysms often involve the ascending aorta (AAo). When the diameter of the AAo surpasses 6 cm, peeling or rupture may occur, increasing the life-time risk of aneurysms (23). However, it is almost impossible to predict the progression of an aneurysm, and peeling and rupture can occur when the diameter is less than 6 cm. Measurements of aortic hemodynamics and changes of WSS and their relationship to aortic dimensions may provide further insights into the development of aneurysms and assist in assessing the risk of dissection (24). Bürk et al. (25) examined the correlation between the AAo and aortic arch’s 3D flow patterns and vascular wall parameters in patients with concomitant AAo dilatation, and found that the occurrence and intensity of the AAO helix and vortex flow were significantly higher in dilated AAo patients compared to normal controls, while the WSS at the peak systolic of the AAo and aortic arch was decreased (P=0.0157–0.0488). The AAo diameter was positively correlated with peak velocities (P<0.04), and was negatively correlated to WSS (P<0.03) (see Figure 2).

Figure 2 Examples of vortex and helix flow. (A) Early (left photo) and late (right photo) time-resolved particle trajectories in systole show the formation of a large flow vortex (white arrows, grade =1.5, diameter =41 mm) in an aneurysm patient. (B) Evolution of helix flow (yellow arrows) in the ascending aorta (grading =2, diameter =48 mm) and in the descending aorta (gray arrows) in another patient (26).

4D flow MRI of the aorta can also be applied to aortic coarctation (CoA). 4D flow MRI can assess changes in the hemodynamics and flow-derived vessel wall parameters of CoA patients (27). In CoA patients, noninvasive 4D flow MRI may provide an alternative to invasive catheterization (28). Saitta et al. (29) developed a novel 4D flow MRI algorithm on the basis of a finite element solution of the Poisson pressure equation to acquire relative distributions of pressure by 4D flow data, so that it can be widely used in clinical practice.

In an ex vivo porcine experiment, 4D flow MRI was shown to be useful in aortic dissection and to accurately assess blood flow in the real and false lumen. This could assist in determining the area of the first or second tear, or detect thrombosis in the false cavity (30). Allen et al. found that 4D flow MRI can be applied to identify the upper peel flap window. 4D flow MRI can also be applied as an auxiliary method of B-type peeling MRI or magnetic resonance angiogram to assess the flap window. Additionally, the basic 4D flow MRI hemodynamic parameters, including stroke volume (SV), flow velocity, and the helical flow in the false cavity, are all associated with the expansion rate of the aorta. When implementing endovascular repairs, the ability to determine hemodynamic active fenestrations may allow 4D flow MRI to complement the CT angiography anatomical distinction (31).

Geiger et al. (32) studied general and segmental hemodynamic aortic changes in Marfan syndrome (MFS) patients and found that while the aortic hemodynamics remained stable overall, mild changes in the local descending aorta (DAo) appeared at an early age and became much more evident over time (see Figure 3). Segmental WSS was found to be lower in the inner proximal DAo segment of MFS patients (see Figure 4), which is related to increased abnormal vortex/helix flow patterns.

Figure 3 The average systolic WSS of the AAo, arch, DAo, and proximal segment of the DAo at baseline and during follow-up in patients with MFS. *, represents a significant difference. WSS, wall shear stress; AAo, ascending aorta; DAo, descending aorta; MFS, Marfan syndrome (32).

Figure 4 Segmental WSS and peak velocity of aorta. (A) 3D WSS across the entire aortic surface; (B) ten areas applied to segment WSS throughout aorta; (C) peak systolic velocity maximum intensity projection. WSS, wall shear stress; AAo, ascending aorta; DAo, descending aorta; MIP, minimum intensity projection (32).

Hemodynamic differences

4D flow MRI can be applied to evaluate the flow of the vena cava and right atrium (RA) inflow tract. Wehrum et al. (26) provided reference values for the quantification of vena cava blood flow based on 4D flow MRI, and found that age had a significant effect on cava blood flow and RA hemodynamics. A clockwise rotating helix was observed in young patients while turbulence was significantly more frequent in elderly patients (see Figure 5). In the future, when using 4D flow MRI to evaluate the pathological state of the heart, the effect of aging should be considered.

Figure 5 Photos of right atrial filling. A clockwise rotated vortex flow was observed in young patients. In relation to older patients, right atrial filling flow was turbulent; however, even some young patients did not display the formation vortex (25).

Pulmonary hypertension

It is viable to measure pressure in the artery by 4D flow MRI. Pulmonary hypertension is diagnosed by measuring the mean pulmonary artery pressure (mPAP) through a right heart catheter. However, a 4D flow MRI analysis can also accurately estimate mPAP from the duration of the blood flow vortex in the pulmonary artery (PA) (33). In previous studies, the duration of the PA vortex (expressed as a percentage of the cardiac cycle) has been shown to be well correlated with the invasively measured mPAP (34). Kheyfets et al. (35) developed a multivariable model that included PA relative flow characteristics to detect pulmonary vascular resistance by 4D flow MRI. They noted that combining the vorticity of the main PA (MPA) and the right PA (RPA) in the multivariate model enabled it to predict 85% of mPAP abnormities.

PA regurgitation vs. PA stenosis

4D flow MRI has been shown to be a noninvasive technique that evaluates right ventricular (RV) reconstruction due to load stress caused by PA regurgitation (PR) or PA stenosis (PS). Fernandes et al. conducted a study to quantitatively assess kinetic energy (KE), power output, and power loss parameters on the basis of 4D flow MRI during RV remodeling after PS and PR (36). They found that: (I) the RV KE in systole and diastole changed significantly in PS and PR; (II) compared to patients in the PS group, those in the PR group had a greater capacity load and cardiac output, which led to an increase in KE; and (III) the power output rate of the right ventricle in PR was greater than that in PS.

Cardiac diseases

Arrhythmia

Assessing the atrial blood flow rate of atrial fibrillation (AF) patients is essential, as AF is correlated with an increased risk of embolic stroke (10). Markl et al. (37) undertook a visual and quantitative assessment of left atrial (LA) blood flow, LA stasis, peak velocity, and time to-peak (TTP) velocity using 4D flow MRI, and found that reducing LA peak velocity and increasing the area of LA stagnation were more susceptible to changes in LA flow than was TTP. Cibis et al. (38) used electrical cardioversion to study 4D LA flow patterns and hemostasis in AF patients. The results showed that the flow form of LA was abnormal after the mechanical function of LA was restored. Further, during LA stunning, there was a significant association between LA blood stasis indicators, and hypercoagulability parameters.

Heart failure

Left ventricular (LV) dysfunction and remodeling are progressive and can exist early and before obvious clinical symptoms become apparent; thus, an accurate and early screening diagnosis technique is urgently needed. The early detection of the asymptomatic period is the clinical focus of reducing patient morbidity and mortality. To date, KE flow parameters, including vortices and proportions of the functional flow components, have been applied to evaluate the function of atria and ventricles (39). The KE of blood represents the work required to accelerate a certain mass of blood from rest to a specified speed. Even before heart enlarging and malfunction, 4D flow can assess changes in the proportions of flow components and the relevant KE (40). This may enable ventricular dysfunction to be detected in patients in a clinically compensatory stage and provide unique pathophysiological insights into heart failure diagnosis and therapy. Intracardiac KE can provide a novel recognition of cardiac hemodynamic disorder, and can help us to understand and assess heart failure (41). Kanski et al. showed that the average KE in systole was higher in heart failure patients than in control patients (2.2±1.4 vs. 1.6±0.6 mJ, P=0.048). The different KE time curves shown in patients provided a novel conceptual classification of heart failure.

Pulmonary heart disease

LV diastolic vorticity is considered to be a sensitive indicator of diastolic dysfunction in pulmonary heart disease. One study (42) investigated LV diastolic vorticity patients with mild to moderate chronic obstructive pulmonary disease and showed that these patients had significant different LV vortex dynamics compared to healthy controls, albeit the LV cardiac function and structure were similar. In addition, as LV vorticity was found to be relevant to RV function, abnormal LV function appears to be caused by LV–RV interdependency effects.

RV diastolic function can also be assessed using 4D flow MRI, which offers mechanistic insights into RV diastolic dysfunction. Barker’s review (43) suggested that 4D flow-derived RV blood flow KE assessment could circumvent the issues of the current imaging modalities (44). Crandon’s study reported that RV energetics provides novel insights into diastolic filling patterns and allows the quantification of RV diastolic function (45).

Coronary artery heart disease

Acute myocardial infarction (AMI) leads to a decrease in LV cardiac function and global LV KE resulting from changes of LV hemodynamics. Blood flow KE parameters can offer a new way to diagnose patients with AMI. Corrado et al. (46) speculated that anterior AMI leads to local changes in LV flow. After comparing 4D flow indices between 12 anterior AMI patients and 19 healthy control patients, they found that peak systolic flow velocity was decreased in the midportion and apex (P=0.01 and P=0.02, respectively) of the LV in anterior AMI subjects. Compared to the control patients, the peak diastolic flow velocity of anterior AMI patients was also lower (P=0.01). Garg et al. (47) found that LV blood flow KE was associated with LV function and that the area of the infarct area was correlated to the rate of LV KE in the plane. They also found that AMI patients with LV thrombus have significantly reduced and delayed wash-in of LV (48).

Cardiomyopathy

Hypertrophic cardiomyopathy (HCM) is related to a hemodynamic change of the left ventricular outflow tract (LVOT). van Ooij et al. (49) conducted a study to quantify 3D hemodynamic changes, including energy loss (EL) and pressure gradients, in the LVOT using 4D flow MRI. They found that LVOT EL (3.8±2.5 vs. 1.5±0.7 mW, P<0.005) and peak systolic pressure gradients (21±16 vs. 9±2 mmHg) were significantly higher in HCM patients than in control patients.

In a study investigating intraventricular filling flow patterns in patients with nonischemic dilated cardiomyopathy and HCM, enhanced vorticity in nonischemic dilated cardiomyopathy was found to be partially related to reduced LV stiffness. Conversely, impaired vortex formation was considered to be a potential mechanism for HCM diastolic dysfunction and one of the causes of LV concentric remodeling (50).

Patients with dilated cardiomyopathy develop LV remodeling, but their SVs do not differ from those of normal patients in the early stage. However, a study by Eriksson et al. found that the composition of SV was different but the volume was the same. They also found that the proportion of direct flow (through the LV) in 1 cardiac cycle was smaller. Despite being clinically compensated for, these special blood flow paths and energy alterations could still be detected and could be used as subclinical signs of LV dysfunction (51).

CHD

4D flow MRI is also important during the follow-up of patients after tetralogy of fallot repair (rTOF) to evaluate the degree of PR and PS, and to assess RV function. François et al. (52) found rTOF patients have different flow patterns in the right heart compared to normal patients. These changes could be summarized as follows: only vortical flow increased in the RA and RV through the diastole, but both helical and vortical flow increased in the PA. These differences may help explain why symptoms increase during exercise in rTOF patients. Sjöberg et al. (53) discovered that RV diastolic peak KE was significantly increased in rTOF patients, while RV systolic KE did not differ significantly between rTOF and control patients even though PR flow volumes increased considerably. They thus assumed that KE could be used as a potential early sign of ventricular dysfunction to guide intervention therapies. Hu et al. (54) found that increased peak WSS and EL in rTOF patients was associated with pulmonary hemodynamic changes in the MPA and RPA. These might be early markers of evolving hemodynamic inefficiency. They believed that a more comprehensive understanding of PA hemodynamics in rTOF might provide greater insights into PA-RV interactions and how they affect RV function.

In cases of heart disease due to congenital malformations, the presence and severity of tricuspid valve regurgitation is independently related to increased morbidity and all-cause mortality. A study found that effective flow across the tricuspid valve quantified by 4D flow MRI had a good correlation with the effective flow of the pulmonary vessel quantified by 2D PC MRI. As the velocity is simultaneously encoded in 3 spatial directions, 4D flow MRI is able to measure tricuspid valve flow and grading of tricuspid regurgitation even for patients with complex RV morphology in clinical practice (55).

4D Flow MRI can also be used to track and visualize blood flow (see Figure 6). Chelu et al. (56) assessed the practicability of using 4D flow MRI to detect the blood flow parameters, shunt volume, and shunt fraction related to atrial septum defect. Blood flow measurements were applied at 3 different levels (i.e., the valve, main artery, and peripheral) of pulmonary circulation and systemic circulation. The results showed that measurements of the pulmonary and systemic blood flow at multiple levels correlated well with each other regardless of the valve level (r=0.885–0.991).

Figure 6 Representative 4D flow MRI cases of a normal subject and a patient with VSD and PDA from Fuwai Hospital. (A) Streamlines of a normal subject and flow directions are displayed with vector coverage. (B) Streamlines are used to trace blood flow from the left ventricle towards the right ventricle of the VSD. (C,D) Streamlines are used to trace blood flow from the bidirectional shunt between the aorta and the pulmonary artery of the PDA. VSD, ventricular septal defect; PDA, patent ductus arteriosus.

For patients with a single ventricle, system-to-pulmonary collateral blood flow (SPCF) could be a dangerous factor that increases morbidity and mortality. 4D flow MRI differs to 2D PC MRI in that it can assess the complicated blood flow of multiple vessels. Research by Valverde et al. showed that compared to 2D PC acquisition, SPCF measured by 4D flow MRI was simpler, more accurate, and more effective (57).

Fontan surgery is always the first option for patients with congenital heart defects who are unsuitable for double ventricle repair. An understanding of the characteristics of KE in a single ventricle could enhance our knowledge of the hemodynamic causes of damaged function in these patients and could help prevent and treat potential complications. Patients with a Fontan cycle were found to have lower peak diastolic KE (58). Further, Kamphuis et al. (59) discovered that the intraventricular EL of Fontan patients was disproportionate to KE. Compared to healthy patients, intraventricular EL was increased in Fontan patients.

Cardiac valvular disease

For patients with mitral or tricuspid valve regurgitation, the assessment of the severity of the regurgitation is the key to determining whether surgery is necessary. TTE has been widely used; however, it has lower reproducibility for the classification of valve regurgitation. A retrospective study (11) showed that 4D flow MRI was able to quantitatively grade valve regurgitation in such diseases, which could simplify the process of grading and boost the accessibility of cardiac MRI.

4D flow MRI can accurately and repeatedly detect hemodynamic differences by measuring flow, velocity, and direction in patients with congenitally bicuspid or quadricuspid aortic valves (60). The findings of Alvarez’s study (61) confirmed that 4D flow MRI correlated well with the conventional standard 2D PC MRI for grading aortic regurgitation (AR). 2D PC MRI is a routine MRI protocol for measuring velocity, net flow, and regurgitation fraction (62); however, it still has limitations, such as a single VENC direction. 4D flow MRI addresses the shortcomings of 2D PC MRI and serves as a new alternative method to MRI for evaluating complex flows through the aortic valve.

Ascending thoracic aorta (AsAo) dilation and the further progression of aortic aneurysms are common, but poorly understood in bicuspid aortic valve (BAV) patients. With its high-resolution 3D acquisition, 4D flow MRI can better characterize the eccentric blood flow of AsAo in BAV patients than can echocardiography. In addition, the 4D flow dataset allows the WSS to be estimated from the near-wall velocity gradient. Rodríguez-Palomares et al. (63) found that different BAV phenotypes have different flow patterns. In patients with the BAV right-left phenotype, the axial WSS in the aortic root was increased, and the circumferential WSS in the middle level and distal level of AAo was also increased in the BAV right-noncoronary phenotype.

Since the outbreak of the novel 2019 coronavirus (COVID-19), invasive procedures have increased the risk of exposure to viral infections. Thus, it is necessary to assess the severity of valve stenosis through noninvasive procedures. TTE is commonly used in clinical practice, but it may not provide accurate assessments in certain circumstances due to poor acoustic windows and limited windows with narrow fields of view. Transesophageal echocardiography (TOE) is an invasive examination that increases the risk of exposure to COVID-19. Thus, the pressure gradient and the regurgitant jet measured by 4D flow MRI have become particularly useful. Studies have reported that the accuracy of 4D flow MRI is comparable to that of TOE. In relation to COVID-19, 4D flow is a good alternative for evaluating valve stenosis. 4D flow MRI has become increasingly important in optimizing diagnostic utility with its capabilities of single-sequence, single-acquisition, and retrospective analyses, which allow valve tracking to account for motion throughout the cardiac cycle and the direct measurement of the mitral valve for research and clinical studies (64).

Further, a new 4D flow MRI method with retrospective valve tracking by offline analysis can precisely determine the net flow of all 4 heart valves (i.e., the bicuspid valve, tricuspid valve, pulmonary valve, and aortic valve) in a single scan. This retrospectively triggered scan method can reduce acquisition time, and evaluations of a plurality of valves do not need to be performed separately (65).

Limitations of 4D flow MRI

4D flow MRI has been shown to be helpful in reflecting the status of different cardiovascular systems; however, it has not been widely used in clinical practice. This is mainly due to its disadvantages (see Table 4). First, the best location to accurately measure flow parameters, such as volume, velocity, and regurgitation, is controversial. Bertelsen et al. (6) found that measuring SV at valve level was the most accurate method; however, Chaturvedi et al. (66) suggested that SV measurement should be obtained at the AAo while AR should be quantified at the sinotubular junction. Future studies should seek to determine the optimal plane for the quantification of the flow parameter with 4D flow MRI. Second, the postprocessing and analysis of 4D flow MRI takes time and labor, which limits its clinical application. The postprocessing time required to measure 4D flow MRI data on the basis of semiautomatic workflow is 40.1±15.7 minutes (67). It takes another 30 minutes per patient to manually segment the region of interest in the artery lumen. Third, due to manual intervention in the 3D segmentation process of the cardiac structure and the correction of the background phase offset, the accuracy of blood flow estimation is further affected by user experience (60). Thus, the analysis workflow needs to be further improved and automated to ensure that the clinical interaction reaches an acceptable level. For example, calculating the center line in the artery lumen and automatically analyzing the plane orthogonal to the center line will reduce the time it takes to manually optimize the plane positioning (68). In addition, 4D flow MRI acquisition usually spans hundreds of heartbeats, making it impossible to study changes in each beat. Thus, MRI cannot quantify blood flow reliably for most diseases with erratic heart cycles. Further, patients with metal implants cannot undergo MRI examinations because of the image artifacts. MRI does not cause any radiation; however, the spatial resolution and quality are relatively low (69). Finally, a systematic review published in 2017 (69) mentioned that of all the included articles on 4D flow MRI, only 4 (9.1%) were related to diagnostic experiments. Thus, long-term follow-up research needs to be conducted to clarify the clinical usage of hemodynamic parameters derived from 4D flow for risk stratification (3). Future studies should seek to determine the accuracy of the existing and novel technologies of 4D flow MRI (10).

Table 4 Summary of the limitations of 4D flow
Full table

The application of new technologies to 4D flow MRI

As we know, for typical applications, a slow data acquisition coupled with standard navigation-gated 4D flow MRI prolongs scan time and is affected by the patient’s respiratory model. Advances in new technologies, including advanced parallel imaging (2), respiratory gating (70,71), radial sampling (71,72), spiral acquisition without acceleration (73), and compressed sensing (74) could reduce the scan time to 5–15 minutes (8). Dyvorne et al. developed a super-speed 4D flow MRI method based on spiral sampling and dynamic compressed sensing. The spiral data were acquired through 3D spiral superposition. Sub-Nyquist sampling was used with a variable-density spiral by an acceleration factor of 6. A dynamic compressed sensing framework was then applied to rebuilding. Dyvorne et al. demonstrated that the efficient combination of spiral sampling and dynamic compressed sensing rebuilding accelerated the scan time (from about 11 minutes to one breath-hold average). The performance of the hemodynamic parameters, which were examined to compare standard Cartesian 4D flow and 2D PC MRI, were similar.

Additionally, k-space and time dimension generalized auto calibrating partially parallel acquisition (k-t GRAPPA) 4D flow MRI involves spatiotemporal undersampling for the interpolation of missing data in the k-t space, which can reduce the scan time (73-75). Ebel et al. verified that the k-t GRAPPA was not inferior to GRAPPA, and had similar image quality, fewer artifacts, and almost twice the speed (76).

Recently, a new 5-dimensional (5D) flow MRI framework, which exploits data correlated with the cardiac phase and respiratory motion dimensions, has been developed. This framework unites undersampling data acquisition, including multipoint velocity coding, and low-rank image rebuilding, which reduces the scanning time while maintaining image quality (77). The multipoint coding scheme is applied to monitor the average velocity component and the fluctuating velocity component using a noncollinear coding direction, which is similar to the idea of diffusion tensor imaging. Walheim et al., who called this method “5D flow tensor MRI”, found that patients with valvular heart disease could undergo a comprehensive blood flow assessment by 5D flow tensor MRI in 10 minutes (78), and turbulent flow velocity could be plotted in 4 minutes (79).

Moreover, machine learning has been used to segment cardiovascular imaging and reduce the analysis time, which may reduce the time spent on 4D flow measurements (80). The data acquired by deep-learning algorithms has been verified to reflect the data acquired by cardiologists (81-83). Berhane et al. found that deep learning could quickly and automatically implement the 3D segmentation of the aorta based on 4D flow MRI data, demonstrating its potential to enhance the efficiency of clinical workflows (84).

Conclusions

As a rising blood flow and velocity quantitative analysis technique, 4D flow MRI can provide 3D blood flow coverage and a retrospective blood flow analysis at any location. 4D flow MRI is important in the detection and guidance of large vessels and cardiac diseases. However, further research needs to be conducted to optimize the clinical application of 4D flow MRI.

Acknowledgments

Funding: This study was supported in part by research grants from the National Natural Science Foundation of China (No. 81771811 and 81971588), the Construction Research Project of Key Laboratory (Cultivation) of the Chinese Academy of Medical Sciences (No. 2019PT310025), the Clinical and Translational Fund of the Chinese Academy of Medical Sciences (No. 2019XK320063), Capital’s Funds for Health Improvement and Research (CFH 2020-2-4034) and the Capital Clinically Characteristic Applied Research Fund (No. Z191100006619021).

Footnote

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-20-1234). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.

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