Accelerating Knee MRI: 3D Modulated Flip-Angle Technique in Refocused Imaging with an Extended Echo Train and Compressed Sensing

Abstract

Purpose

The three-dimensional (3D) sequence of magnetic resonance imaging (MRI) plays a critical role in the imaging of musculoskeletal joints; however, its long acquisition time limits its clinical application. In such conditions, compressed sensing (CS) is introduced to accelerate MRI in clinical practice. We aimed to investigate the feasibility of an isotropic 3D variable-flip-angle fast spin echo (FSE) sequence with CS technique (CS-MATRIX) compared to conventional 2D sequences in knee imaging.

Methods

Images from different sequences of both the accelerated CS-MATRIX and the corresponding conventional acquisitions were prospectively analyzed and compared. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the structures within the knees were measured for quantitative analysis. The subjective image quality and diagnostic agreement were compared between CS-MATRIX and conventional 2D sequences. Quantitative and subjective image quality scores were statistically analyzed with the paired t-test and Wilcoxon signed-rank test, respectively. Diagnostic agreements of knee substructure were assessed using Cohen’s weighted kappa statistic.

Results

For quantitative analysis, images from the CS-MATRIX sequence showed a significantly higher SNR than T2-fs 2D sequences for visualizing cartilage, menisci, and ligaments, as well as a higher SNR than proton density (pd) 2D sequences for visualizing menisci and ligaments. There was no significant difference between CS-MATRIX and 2D T2-fs sequences in subjective image quality assessment. The diagnostic agreement was rated as moderate to very good between CS-MATRIX and 2D sequences.

Conclusion

This study demonstrates the feasibility and clinical potential of the CS-MATRIX sequence technique for detecting knee lesions The CS-MATRIX sequence allows for faster knee imaging than conventional 2D sequences, yielding similar image quality to 2D sequences.

Introduction

As a crucial weight-bearing joint, the knee can easily sustain a variety of injuries, including meniscus tears, crucial ligament tears, and cartilage and bone injuries. Nevertheless, it is especially challenging to evaluate knee imaging compared with other musculoskeletal joints because of the knee’s complex anatomical structures, which require equally high in-plane resolution and slice thickness to depict the anatomical structures clearly and to identify varying degrees of injuries, especially tears of the menisci and crucial ligaments.^1,2

Magnetic resonance imaging (MRI) is considered to be a non-invasive technique in musculoskeletal imaging, because of its reliability, safety, and other advantages over diagnostic arthroscopy.^3,4 Conventional two-dimensional (2D) sequences have been widely used in evaluating musculoskeletal injuries; however, their inherent disadvantages are widely reported, including low resolution along the slice selection direction, signal interference between contiguous slices, and blood flow artifacts. Isotropic three-dimensional (3D) sequences, which allow for higher spatial resolution and signal-to-noise ratio (SNR), have been demonstrated to have similar diagnostic performance to conventional 2D sequences on lesions in musculoskeletal joints.^2,5–8 With a single 3D isotropic or near-isotropic acquisition, multiplanar reconstruction (MPR) can be carried out, which is especially beneficial for the evaluation of menisci, ligaments, tendons, and nerves.^9–12 Nevertheless, the long acquisition time of 3D sequences limits their routine clinical use.¹³

The latest advances in MRI acceleration technology are contributing toward the advancement of 3D knee MRI. Rapid imaging techniques in musculoskeletal imaging have been introduced, such as compressed sensing (CS), based on a novel mathematical framework, providing higher data undersampling in k-space with nonlinear reconstruction, as well as improvements in imaging quality.¹⁴ This technique is based on the same principles used in digital image compression algorithms, which exploit inherent sparsity (lack of information) transformations on mathematical image data to reduce digital image size while maintaining perceived quality. Like parallel imaging techniques, CS techniques are more suited for 3D sequences that inherently have greater data sparsity than 2D sequences, and have been successfully implemented in musculoskeletal MRI.^14–16 However, the application of CS in the 3D fast-spin-echo (FSE) sequence with true voxel isotropy is still limited, and the 3D FSE sequence with CS is confined to scanners from specific vendors.¹⁷ In view of the aforementioned points, we aim to apply a 3D modulated flip-angle technique for knee imaging, which is an FSE-based sequence with variable flip angles in refocused imaging with an extended echo-train (MATRIX) sequence. The MATRIX sequence can also accelerate imaging by using longer echo train lengths (ETLs) and shorter echo spacing (ESP) than a traditional FSE sequence.¹⁸

In this study, the 3D MATRIX sequence combined with a CS technique (CS-MATRIX) was employed to evaluate knee imaging. As the conventional 2D sequence serves as a well-accepted method used in routine diagnosis, this study was designed to investigate the feasibility of 3D CS-MATRIX sequences in knee imaging compared to conventional 2D sequences, regarding their image quality and diagnostic performance, and the acquisition time.

Methods

Study Objectives and Case Selection

This study was approved by the Institutional Review Board (IRB) of China–Japan Union Hospital of Jilin University. All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. The experimental flowchart is shown in Figure 1. We included 74 knees (from 69 symptomatic patients) enrolled in our department between February and August 2019 for MRI due to knee pain. The exclusion criteria included contraindications for MRI (eg, pacemakers, non-MRI-compatible metallic implants), previous knee surgery, tumor, infection, pediatric patients under the age of 18, being unable to complete the inspection during the examination, and those whose images had serious artifacts after examination. As a result, 68 knees (from 63 symptomatic patients, male: 33, mean age: 41.6±13.8 years; female: 30, mean age: 44.9±14.7 years) were screened to be investigated, and clinical treatment was not delayed for any patient because of study participation. The flowchart of patient enrollment is presented in Figure 2.

Figure 1.

Experimental flowchart.

Figure 2.

Flowchart of patient enrollment.

MRI Protocols

All patients were examined with a 3.0 T magnetic resonance (MR) scanner (uMR780; United Imaging Healthcare, Shanghai, China) with a dedicated 12-element transmit/receive (T/R) knee coil. MRI protocols included axial, sagittal, and coronal 2D FSE T2-weighted fat-suppressed (T2-fs) and proton density-weighted non-fat-suppressed (pd-nfs) sequences (FOV, 140 mm; in-plane resolution: mm²; acquisition duration: 15 minutes 30 seconds). CS-MATRIX sequences were obtained along the sagittal direction (FOV, 140 mm; spatial resolution: mm³; acquisition duration: 11 minutes) with an acceleration factor of five, and the specific parameters of the sequences are shown in Table 1. The post-acquisition axial, sagittal, and coronal MPRs were obtained within the workstation (United Imaging Healthcare, Shanghai, China).

Table 1.

Parameters of MRI Sequences

	pd-nfs CS-MATRIX	pd-nfs 2D Sagittal	pd-nfs 2D Transverse	pd-nfs 2D Coronal	T2-fs CS-MATRIX	T2-fs 2D Sagittal	T2-fs 2D Transverse	T2-fs 2D Coronal
FOV (mm2)	140*140
TR/TE (ms/ms)	1000/71.4	3122/37.7	3176/36.8	5080/38.5	1400/184.2	4876/69.1	5317/76.7	4562/68.8
Resolution (mm3)	0.5*0.5*0.5	0.5*0.5*2.5	0.5*0.5*3	0.5*0.5*3	0.5*0.5*0.5	0.5*0.5*3	0.5*0.5*3	0.5*0.5*3
FA (°)		135	135	135		150	120	150
ETL	50	14	16	14	80	12	12	12
BW (Hz)	500	200	200	200	400	200	180	200
Slices	200	30	30	35	200	25	26	25
NEX	1	1	1	1	1.5	1	1	1
TA (min:s)	4:41	0:56	1:19	2:32	6:25	3:48	4:09	2:53

Abbreviations: pd-nfs, proton-density-weighted sequence, non-fat-suppressed; CS-MATRIX, three-dimensional modulated flip-angle technique in refocused imaging with an extended echo train and compressed sensing; T2-fs, T2-weighted sequence, fat suppressed; FOV, field of view; TR, repetition time; TE, echo time; FA, flip angle; ETL, echo train length; BW, bandwidth; NEX, number of excitations; TA, acquisition time.

Image Analysis

Quantitative Analysis

The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of specific tissues were measured on both conventional 2D and 3D MPR images using the software Horos (https://horosproject.org/). With Horos, regions of interests (ROIs) were manually drawn by musculoskeletal radiologists with 5 years of experience in musculoskeletal imaging. The determination started with the 3D MPR images and then transferred to the 2D images. The reviewers were blinded to electronic medical records, including the results of physical examinations, arthroscopic findings, and diagnoses. Afterwards, the SNRs of cartilage, synovial fluid, fat, bone marrow, ligaments, and menisci were calculated by dividing the average signal intensity () by the standard deviation within the selected ROIs (), which is regarded as background noise, given that the SNR calculated by the background standard deviation is not uniform across the regions of an accelerated sparse image, namely, . Then, the CNRs of cartilage against synovial fluid, bone marrow, and muscle, and synovial fluid against meniscus, bone marrow, and fat were calculated by .^17,19,20

Subjective Image Quality Analysis

Muscoloskeletal radiologists with 5 and 10 years of experience were also enrolled to review the 68 examinations utilizing a four-point grading system to evaluate the image quality independently, according to the clarity of anatomical structures and the presence and severity of susceptibility or blood flow artifacts on the images. The imaging qualities of the medial menisci (MM), lateral menisci (LM), anterior cruciate ligament (ACL), posterior cruciate ligament (PCL), and cartilage–subchondral bone interface were assessed separately using the following four-point image quality assessment system: 4, excellent image quality with sharp delineation of the cartilage from the synovial fluid, clear delineation of the subchondral bone, menisci, and cruciate ligaments, and minimal noise and artifacts; 3, good image quality with less than optimal findings of one or two of the previously mentioned criteria; 2, acceptable image quality, with the diagnostic quality of the images mildly affected by substantial limitations; and 1, poor image quality, with the presence of substantial limitations in the diagnostic quality of the images, extensive artifacts, or noise.

Diagnostic Agreement Analysis

Images reconstructed from T2-fs CS-MATRIX and conventional T2-fs 2D images were evaluated by the radiologists in random order, and the pd-nfs images were also involved as additional references. The meniscal injuries were assessed depending on the degree of tearing of the anterior/posterior horn (AH/PH) and the body of the MM and LM separately. The corresponding diagnostic standards were based on a five-point grading system: 0, no lesion, with uniform low signal all over the meniscus; 1, intra-substance abnormality, with limited dots of increased signal in meniscus; 2, non-displaced tears, increased linear signal within the meniscus and not contacting the meniscal surface; 3, displaced or complex tears without maceration, with increased intra-substance signal intensity unequivocally contacting the articular surface; and 4, maceration of the meniscus, with meniscus volume reduction or morphological change on the basis of grade.^21,22 ACL and PCL were evaluated using a three-point grading system: 0, no lesion; 1, partial-thickness tear; and 2, complete tear, which depends on the presence of intra-ligament high signals, abnormal shapes or orientations of ligaments, and discontinuous cruciate ligament signals.²³ Bone marrow edema (BME) was identified initially on fat-suppressed images by ill-defined (no clear border between normal and abnormal signal intensity) increased signals in subchondral bone, and non-fat-suppressed images by ill-defined low signals.^24,25 Cartilage damage was diagnosed given the thickness and integrity of the cartilage signal adhering to the bone surfaces, where the linear or focal regions of fluid signals inside usually represent fissures, whereas larger regions indicate cartilage loss, which was commonly observed on pd-nfs MR images.²⁶

Statistical Analysis

Quantitative analyses and subjective image quality score comparisons were carried out between the isotropic CS-MATRIX and conventional 2D sequences. Individual SNRs and CNRs were quantitatively assessed using the paired t-test, and the variations in subjective image quality score between the two sequences were compared using the Wilcoxon signed-rank test. The evaluation of various knee joint pathologies was compared between CS-MATRIX and 2D sequences, using the combination of T2-fs and pd-nfs imaging. The agreement of diagnostic performance was evaluated with Cohen’s weighted kappa statistic, and classified as very good (kappa: 0.801–1.000), good (kappa: 0.601–0.800), moderate (kappa: 0.401–0.600), fair (kappa: 0.201–0.400), and poor (kappa: 0.000–0.200). All statistical analyses were performed with IBM SPSS Statistics (IBM SPSS Statistics, version 25.0, Armonk, NY). P values of less than 0.05 indicate statistical significance.

Results

Quantitative Analysis Results

The statistical results for the SNRs and CNRs in the selected tissues of CS-MATRIX and conventional 2D sequences are presented in Table 2. Images of T2-fs CS-MATRIX sequences had significantly higher SNRs than those of routine T2-fs 2D sequences in cartilage (12.31±6.24 vs 6.58±2.45, P=0.001), menisci (5.45±1.47 vs 3.09±1.34, P=0.001), and ligaments (5.74±2.02 vs 2.60±1.01, P=0.032), and the CNRs of cartilage against both bone marrow and menisci calculated from T2-fs CS-MATRIX sequences were significantly higher than those of 2D T2-fs sequences (5.23±3.90 vs 2.88±1.79, P=0.013; 9.16±4.84 vs 5.66±2.35, P=0.003). As for pd-nfs sequences, the SNRs of menisci and ligaments in CS-MATRIX sequences were also significantly higher than those in conventional 2D sequences (7.51±2.19 vs 4.62±1.70, P=0.002; 6.17±2.93 vs 4.17±1.62, P=0.044); however, the SNRs of bone marrow and fat were both lower compared with those of 2D sequences (16.67±6.57 vs 24.55±3.61, P=0.004; 23.60±9.34 vs 35.70±20.53, P=0.028). In addition, the CNRs of synovial fluid against bone marrow and fat calculated from the CS-MATRIX sequences were significantly higher than those of the 2D sequences (5.14±2.27 vs 3.15±2.37, P=0.000; 6.70±2.78 vs 4.18±2.71, P=0.006).

Table 2.

SNR and CNR Comparisons of Specific Tissues in Knee Joints

	T2-fs CS-MATRIX	T2-fs 2D	P Value	pd-nfs CS-MATRIX	pd-nfs 2D	P Value
SNR
SF	19.21±18.50	25.07±33.75	0.319	15.32±7.41	31.49±31.32	0.061
BM	12.75±4.09	14.24±4.53	0.229	16.67±6.57	24.55±3.61	0.004
Cart	12.31±6.24	6.58±2.45	0.001	12.24±5.85	10.02±6.04	0.187
Meni	5.45±1.47	3.09±1.34	0.001	7.51±2.19	4.62±1.70	0.002
Liga	5.74±2.02	2.60±1.01	0.032	6.17±2.93	4.17±1.62	0.044
Fat	14.63±5.28	18.33±7.83	0.169	23.60±9.34	35.70±20.53	0.028
CNR
Cart vs SF	8.79±7.60	8.01±6.78	0.519	2.62±1.94	3.65±5.09	0.498
Cart vs BM	5.23±3.90	2.88±1.79	0.013	7.71±1.96	7.73±3.58	0.977
Cart vs Meni	9.16±4.84	5.66±2.35	0.003	7.05±3.90	7.02±3.37	0.975
SF vs Meni	16.33±14.64	20.15±23.67	0.312	7.07±4.04	10.87±6.17	0.188
SF vs BM	13.97±12.79	18.41±22.31	0.252	5.14±2.27	3.15±2.37	0.000
SF vs Fat	14.44±12.96	17.68±22.12	0.419	6.70±2.78	4.18±2.71	0.006

Abbreviations: SNR, signal-to-noise ratio; CNR, contrast-to-noise ratio; CS-MATRIX, three-dimensional modulated flip-angle technique in refocused imaging with an extended echo train and compressed sensing; pd-nfs, proton-density-weighted sequence, non-fat-suppressed; T2-fs, T2-weighted sequence, fat suppressed; SF, synovial fluid; BM, bone marrow; Cart, cartilage; Meni, menisci; Liga, ligament.

Subjective Image Quality Analysis

The results of image quality comparisons are shown in Figure 3. No significant difference in image quality was found between T2-fs CS-MATRIX and T2-fs 2D sequences (mean score=3.35±0.61 vs 3.37±0.59, P=0.876); however, the image quality scores of routine pd-nfs 2D were significantly higher than those of pd-nfs CS-MATRIX sequence (mean score=3.78±0.41 vs 3.59±0.49, P=0.007). The CS-MATRIX sequence presents obviously improved image quality in blood flow artifact reduction compared to conventional 2D sequences, as shown in Figure 4.

Figure 3.

Histograms of the average subjective image quality scores evaluated by the four-point scale for CS-MATRIX T2-fs and 2D T2-fs, and CS-MATRIX pd-nfs and 2D pd-nfs sequences. Data show no significant difference between the images obtained from the T2-fs sequences (P=0.873); however, the 2D pd-nfs sequence presents a significantly better image quality than the pd-nfs CS-MATRIX sequence (P<0.05).

Figure 4.

Right knee magnetic resonance images of a 37-year-old man with normal cartilage. The sagittal images reconstructed from T2-fs (A) and pd-nfs (C) CS-MATRIX sequences present a clear delineation of complete cartilage on the lateral condyle, while in the sagittal T2-fs (B) and pd-nfs (D) 2D images, the blood flow artifacts cause obvious signal loss (arrows) on the cartilage, making it difficult to determine whether there is a lesion.

Diagnostic Agreement Analysis

The results of diagnostic agreement evaluation are presented in Table 3. There was a very good agreement between the isotropic CS-MATRIX and 2D sequences in detecting cartilage lesions () and BME (). However, the range of the edemas shown in images from T2-fs CS-MATRIX sequences was not always as large as that of conventional T2-fs 2D sequences, and the contrast between edema and surrounding normal bone marrow shown in pd-nfs CS-MATRIX images was better than that of pd-nfs 2D images (Figure 5). The diagnostic agreement reached good to very good in the grading evaluation of MM and LM tears (, ), and two symptomatic cases are shown in Figure 6. More specifically, between the sequences, the AH, body, and PH tears of LM showed very good diagnostic agreement (, , ), while the AH, body, and PH tears of MM all had moderate to very good diagnostic agreement ( , ). Two diagnosed cases of PH tears of MM with different diagnostic grades are shown in Figure 7. Moreover, the diagnostic agreements for ACL and PCL tears were good to very good and very good, respectively (, ). During diagnosis, CS-MATRIX sequences inherently allow for arbitrary multiplanar reformations to obtain the images in specific angulations, which may be necessary to visualize small knee structures, as shown in Figure 8.

Table 3.

Diagnostic Agreements of Knee Lesions Diagnosed by CS-MATRIX and Conventional 2D Sequences

Tissue for Diagnosis	Kappa Value (: P Value (95% CI))	P Value	Performance
LM AH lesion	0.909;0.049 (0.813–1.000)	<0.001	Very good
LM body lesion	0.953;0.045 (0.865–1.000)	<0.001	Very good
LM PH lesion	0.882;0.056 (0.772–0.992)	<0.001	Good to very good
LM lesions	0.910;0.059 (0.851–0.969)	<0.001	Very good
MM AH lesion	0.690;0.097 (0.500–0.880)	<0.001	Moderate to very good
MM body lesion	0.911;0.062 (0.789–1.000)	<0.001	Good to very good
MM PH lesion	0.675;0.087 (0.504–0.846)	<0.001	Moderate to very good
MM lesions	0.787;0.041 (0.707–0.867)	<0.001	Good to very good
All meniscal lesions	0.845;0.026 (0.794–0.896)	<0.001	Good to very good
ACL lesion	0.792;0.074 (0.647–0.937)	<0.001	Good to very good
PCL lesion	1.000;0.000 (1.000–1.000)	<0.001	Very good
All CL lesions	0.849;0.055 (0.741–0.957)	<0.001	Good to very good
Cartilage lesion	1.000;0.000 (1.000–1.000)	<0.001	Very good
Bone marrow edema	0.971;0.029 (0.914–1.000)	<0.001	Very good

Abbreviations: CS-MATRIX, three-dimensional modulated flip angle in refocused imaging with extended echo trains with compressed sensing; LM, lateral meniscus; MM, medial meniscus; AH, anterior horn; PH, posterior horn; ACL, anterior cruciate ligament; PCL, posterior cruciate ligament; CL, cruciate ligament.

Figure 5.

Left knee magnetic resonance images of a 34-year-old man with knee pain. The images show an area of high signals in the bone marrow of the medial condyle on both images obtained from the T2-fs CS-MATRIX (A) and conventional T2-fs 2D sequences (B), and an area of low signal on the image reconstructed from the pd-nfs CS-MATRIX sequence (C) and the pd-nfs 2D image (D) at the same anatomical position.

Figure 6.

Sagittal images reconstructed from the CS-MATRIX T2-fs sequence (A) and sagittal 2D T2-fs sequence (B) of the left knee of a 47-year-old man with knee pain; from both images the diagnostic results were grade 2 tears on the medial meniscus posterior horn (arrows). Images (C) and (D), respectively, show the sagittal images obtained by CS-MATRIX T2-fs and 2D T2-fs sequences of another symptomatic right knee from a 35-year-old man, and the diagnostic results were grade 3 tears on the lateral meniscus anterior horn (arrows) from both images.

Figure 7.

Right and left knee magnetic resonance images of a 46-year-old man with pain in both knees. The T2-fs CS-MATRIX image of the right knee (A) clearly shows a linear high signal (arrow) on the posterior horn of the medial menisci connected to the cartilage surface of the medial condyle; however, the connection (arrow) is almost invisible on the T2-fs 2D image (B). The T2-fs CS-MATRIX image of the left knee (C) also shows a linear high signal (arrow) connected to the cartilage surface of the medial condyle on the posterior horn of the medial menisci; however, the connection (arrow) is also almost invisible on the T2-fs 2D image (D).

Figure 8.

Example magnetic resonance images of knees with normal anterior cruciate ligaments (ACLs). Sagittal images reconstructed from the T2-fs CS-MATRIX sequence (A) show the clear structure of the ACL (arrow); however, the conventional sagittal 2D T2-fs image (B) cannot show the complete ACL in a single slice. In another example with normal ACL, the reformatted oblique coronal image from the T2-fs CS-MATRIX sequence (C) shows the two complete ligament bundles, the anteromedial bundle (AMB) and posterolateral bundle (PLB); however, the conventional coronal 2D T2-fs image (D) can only show the discontinuous AMB (arrow) and unclear PLB.

Discussion

The results of this study demonstrated the successful application of an isotropic 3D variable-flip-angle FSE sequence with CS technique in knee MRI, through various comparisons of CS-MATRIX with conventional 2D sequences. Previous investigations have demonstrated that 3D sequences can improve the diagnostic accuracy compared to conventional 2D sequences in comprehensive evaluations of knee joint injuries.^27,28 Nonetheless, the isotropic spatial resolution and acquisition time still remain to be optimized in clinical applications. Based on these considerations, the CS technique comes into view. Geethanath et al¹⁴ reviewed numerous applications of the CS technique in musculoskeletal system imaging and demonstrated the feasibility of knee imaging with fivefold acceleration.²⁹ In this study, with the advantages of both the MATRIX sequence and the CS technique, the accelerated isotropic T2-fs and pd-nfs CS-MATRIX sequences saved about 30% of total imaging time compared to the conventional 2D multiplanar sequences.

Kijowski et al performed intermediate-weighted 3D FSE sequences (CUBE; GE Healthcare, Waukesha, WI) with CS (CUBE-CS) and without CS (CUBE) on the knees using the same 3 T scanner, achieving a 30% reduction in scan time for 3D FSE imaging of the knee without a corresponding decrease in the SNR or diagnostic performance in knee imaging.¹⁶ The time savings and image qualities in their study are similar to our results. However, the 3D FSE sequences in this study used an anisotropic voxel size of 0.5×0.5×1.0 mm, which degraded the image quality. In their experiment, a single CUBE sequence was used as the comparison object, whereas we selected the routine 2D T2-fs and pd-nfs sequences in the clinic as the comparison objects, which makes the experiment more informative and persuasive. Lee et al compared image quality between CS 3D FSE and conventional 3D FSE sequences for knee MRI.¹⁷ They only used the 3D FSE sequence for comparison, which cannot highlight the advantages of 3D imaging compared with 2D imaging in diagnosis and image resolution. Altahawi et al compared the image quality and diagnostic performance of accelerated fs 3D FSE sequences with conventional 2D FSE sequences on knee imaging.²⁰ In their diagnostic evaluation, the perceived diagnostic values of the tissue were assessed without evaluating the severity of specific lesions within the knee joints, and further studies would be needed for a more comprehensive conclusion. In our study, the results of the diagnostic agreement evaluation revealed that the CS-MATRIX sequences could achieve similar performance to the 2D sequences in evaluating lesions in cartilage, bone marrow, menisci, and cruciate ligaments. This implies that both groups of acquired images presented enough visible contrast of neighboring tissues, resulting from the relative CNRs of both CS-MATRIX and conventional 2D sequences. A previous study demonstrated that the variable-flip-angle fs 3D FSE sequence showed significantly lower value than 2D sequences for evaluating bones and ligaments;²⁰ however, only the 3D fs sequences were employed for diagnosis. In our study, with the presence of the additional nfs CS-MATRIX sequence, the diagnostic agreement of CL lesions and BME between the CS-MATRIX and conventional 2D sequences achieved ratings of good to very good. Additionally, marrow fat is known to present higher signals than edema in pd-nfs images, and lower signals on T2-fs sequence imaging. In clinical diagnosis, the smaller range of BME in images from T2-fs CS-MATRIX sequence may lead to false-negative diagnoses. In contrast, the low signal in the pd-nfs CS-MATRIX sequence could be mistakenly regarded as edema, which may lead to a false-positive judgment. Compared to the previous results, the combination of fs and nfs CS-MATRIX sequences is considered to have great potential in improving the detection of edema-related pathology, which is consistent with another study.³⁰

In quantitative analysis, the results indicated that for most tissues the CS-MATRIX sequences could yield a better SNR and CNR than the 2D sequences. 2D sequences constantly show non-isotropic voxels resulting from thick slices, imaging gaps, and partial-volume artifacts that may negatively affect image quality and obscure small pathologies.³¹ In order to overcome these limitations, a decrease in the slice thickness of 2D sequences is required, but thinner slices require a long acquisition time and small voxel size leads to decreased SNR.³² According to our results, 3D sequences are more suitable for small voxel acquisition, and the combination of the CS technique with the isotropic 3D variable-flip-angle FSE sequence has provided an acceptable image quality and comparable diagnostic performance on multiple articular pathologies, while reducing the scan time compared with both 3D FSE sequences without CS and conventional 2D sequences.^17,20,33,34 However, the pd-nfs CS-MATRIX sequence presented lower SNRs in both bone marrow and fat tissue, and this reduction in SNR may give rise to data undersampling in the k-space when utilizing the CS technique with a high turbo factor.¹⁴ The CS-MATRIX sequences showed superior CNRs in almost every comparison, which can be attributed to the higher signal intensities detected during T2 relaxation by CS-MATRIX sequences. As mentioned, while variable flip angles and shorter ESP are utilized in the sequence, a longer usable duration is found during T2 relaxation, which contributes to the present relatively high signal intensity in the sequence, resulting in stronger contrast and reducing blur effects.¹⁸

In accordance with our expectations, the CS-MATRIX sequences yielded almost the same image quality as the conventional 2D sequences, even though the average subjective image quality score of the pd-nfs CS-MATRIX sequence was slightly lower (5%) than that of the pd-nfs 2D sequences. Moreover, CS-MATRIX showed a good reduction in blood flow artifacts, resulting from the completed flow compensation in 3D sequences. With the full flow compensation, which signifies that the flow compensation has been applied in three directions to mitigate the flow artifacts and other negative effects,^35,36 CS-MATRIX sequences may provide better determination of the images to eliminate fake lesions. Recent advances in MRI have led to the introduction of different 3D techniques aiming to improve both image quality and diagnostic efficiency. This could be attributed to fact that the routinely used 2D sequences always need optimized imaging planes in varying orientations.^37,38 In contrast, a 3D sequence inherently allows for arbitrary multiplanar reformations to provide clearer insights to visualize small knee structures without extra time consumption.¹⁶

Unlike a previous study on variable-flip-angle 3D FSE with the CS technique,²⁰ lesions within different regions of menisci and cruciate ligaments were evaluated separately in this study, leading to more specific results. Moreover, grading diagnoses of both menisci and cruciate ligament tears were performed in our study to evaluate the practicality of using CS-MATRIX sequences, where patients with different grades of lesions need specialized treatment suggestions. To conclude, our results provide reliable and comprehensive proof of the potential clinical application of this method.

Limitations

There are a few limitations in this study: the sample size was not big and the diagnostic agreement was assessed without involving knee arthroscopies. Studies involving more patients and with examinations under knee arthroscopy or surgery need to be performed to evaluate the diagnostic accuracy directly. Other than that, only different grades of meniscal tears, ligament tears, and cartilage and bone marrow lesions were involved in this study, which did not cover all types of knee lesions seen in the clinic. Therefore, a future study should include more types of knee lesions, so that a more comprehensive conclusion can be made to determine the feasibility of accelerated 3D FSE sequences for clinical application, instead of conventional 2D sequences.

Conclusion

In conclusion, this study demonstrates the feasibility of employing an isotropic variable-flip-angle FSE sequence with a compressed sensing accelerating technique, CS-MATRIX, in the detection of knee lesions, through analyzing quantitative image quality and subjective image quality, grading the lesions on different parts of the menisci and cruciate ligaments, and evaluating cartilage lesions and BME. The CS technique can provide a 30% reduction in scan time using CS-MATRIX sequences in knee imaging rather than conventional 2D sequences, without a corresponding decrease in image quality or diagnostic performance compared with routine 2D sequences.

Disclosure

The authors declare that they have no conflicts of interest for this work.