Accuracy of the Compressed Sensing Accelerated 3D-FLAIR Sequence for the Detection of MS Plaques at 3T

Toledano-Massiah, S.; Sayadi, A.; Boer, Renske de; Gelderblom, J.; Mahdjoub, R; Gerber, Sophie; Zuber, Mathieu; Zins, Marc; Hodel, Jérôme

doi:10.3174/ajnr.a5517

Cited by 55 publications

(36 citation statements)

References 21 publications

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“…All ROIs were the same size and had nearly identical positioning between sequences. As reported elsewhere in the literature, 7,11 SNR and CNR were calculated as follows: SNR ϭ SI/SD noise and CNR ϭ (SI lesion Ϫ SI WM )/SD noise , where SI is the average signal intensity of the lesion or white matter and SD noise is the SD of noise.…”

Section: Image Evaluationmentioning

confidence: 99%

“…Only a small number of studies have investigated the performance of CS-SENSE MR imaging in limited patient populations as it relates to body imaging. 4,5 Very few studies have evaluated CS in brain MR imaging, with the studies performed focusing on the evaluation of multiple sclerosis lesions on T2-FLAIR, 7 brain MR imaging quality assessment in healthy controls, 8 and evaluating achievable acceleration, reconstruction schemes, and artifacts generated from retrospective CS. 9 To date, however, no one has critically evaluated the clinical performance of the integrated CS-SENSE algorithm for MR imaging applied to imaging of the central nervous system, to our knowledge.…”

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confidence: 99%

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Compressed Sensing–Sensitivity Encoding (CS-SENSE) Accelerated Brain Imaging: Reduced Scan Time without Reduced Image Quality

Vranic

Cross

Wang

et al. 2018

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Compressed sensing-sensitivity encoding is a promising MR imaging acceleration technique. This study compares the image quality of compressed sensing-sensitivity encoding accelerated imaging with conventional MR imaging sequences. MATERIALS AND METHODS:Patients with known, treated, or suspected brain tumors underwent compressed sensing-sensitivity encoding accelerated 3D T1-echo-spoiled gradient echo or 3D T2-FLAIR sequences in addition to the corresponding conventional acquisition as part of their clinical brain MR imaging. Two neuroradiologists blinded to sequence and patient information independently evaluated both the accelerated and corresponding conventional acquisitions. The sequences were evaluated on 4-or 5-point Likert scales for overall image quality, SNR, extent/severity of artifacts, and gray-white junction and lesion boundary sharpness. SNR and contrast-to-noise ratio values were compared. RESULTS:Sixty-six patients were included in the study. For T1-echo-spoiled gradient echo, image quality in all 5 metrics was slightly better for compressed sensing-sensitivity encoding than conventional images on average, though it was not statistically significant, and the lower bounds of the 95% confidence intervals indicated that compressed sensing-sensitivity encoding image quality was within 10% of conventional imaging. For T2-FLAIR, image quality of the compressed sensing-sensitivity encoding images was within 10% of the conventional images on average for 3 of 5 metrics. The compressed sensing-sensitivity encoding images had somewhat more artifacts (P ϭ .068) and less gray-white matter sharpness (P ϭ .36) than the conventional images, though neither difference was significant. There was no significant difference in the SNR and contrast-to-noise ratio. There was 25% and 35% scan-time reduction with compressed sensing-sensitivity encoding for FLAIR and echo-spoiled gradient echo sequences, respectively. CONCLUSIONS:Compressed sensing-sensitivity encoding accelerated 3D T1-echo-spoiled gradient echo and T2-FLAIR sequences of the brain show image quality similar to that of standard acquisitions with reduced scan time. Compressed sensing-sensitivity encoding may reduce scan time without sacrificing image quality. ABBREVIATIONS:CNR ϭ contrast-to-noise ratio; CS ϭ compressed sensing; SENSE ϭ sensitivity encoding; SPGR ϭ echo-spoiled gradient echo

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Section: Image Evaluationmentioning

confidence: 99%

mentioning

confidence: 99%

Compressed Sensing–Sensitivity Encoding (CS-SENSE) Accelerated Brain Imaging: Reduced Scan Time without Reduced Image Quality

Vranic

Cross

Wang

et al. 2018

AJNR Am J Neuroradiol

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“…Furthermore, 3D scans allow for additional acceleration using compressed sensing. 12,13 Figure 1(a) shows sagittally acquired 3D T2, (b) 3D FLAIR, and a combination of the two called FLAIR 2 ( FLAIR square ) 14 in Figure 1(c) from a 3 Tesla (3 T) system using an eight-channel head coil and parallel imaging along the left–right and anterior–posterior directions. For comparison, Figure 1(d) shows a 3D FLAIR in a different patient acquired on a current 3 T system equipped with a 32-channel head coil, using a combination of parallel imaging 11 and compressed sensing.…”

Section: General Advantages Of 3d-mri Vs 2d-mrimentioning

confidence: 99%

“…Two potential alternatives to DIR are FLAIR 2 (discussed below), 13 and phase-sensitive inversion recovery (PSIR). Several recent studies showed that PSIR outperforms DIR in terms of total number of cortical lesions detected.…”

Section: Advanced Sequencesmentioning

confidence: 99%

Three-dimensional MRI sequences in MS diagnosis and research

Rajendran

Lapointe

et al. 2019

Mult Scler

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The most recent guidelines for magnetic resonance imaging (MRI) in multiple sclerosis (MS) recommend three-dimensional (3D) MRI sequences over their two-dimensional (2D) counterparts. This development has been made possible by advances in MRI scanner hardware and software. In this article, we review the 3D versions of conventional sequences, including T1-weighted, T2-weighted and fluid-attenuated inversion recovery (FLAIR), as well as more advanced scans, including double inversion recovery (DIR), FLAIR2, FLAIR*, phase-sensitive inversion recovery, and susceptibility weighted imaging (SWI).

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“…Third, at this point this approach is not intended to be used as part of a routine clinical study, but rather as a research tool for investigating the hippocampus or other brain structures requiring high resolution in all three dimensions. Though, combining this approach with other highly accelerated MRI acquisition techniques, such as CAIPI imaging ( Breuer et al, 2006 ; Bilgic et al, 2015 ) (Controlled Aliasing in Parallel Imaging Results in Higher Acceleration), other forms of simultaneous multi-slice imaging ( Barth et al, 2016 ), or compressed sensing ( Lustig et al, 2007 ; Toledano-Massiah et al, 2018 ) for example, may further compress the total study time to something reasonable for a research protocol. In any case, we want to be very clear that this approach is best suited for applications that place a premium on hippocampal internal architecture clarity and can justify investing significant scanner time to obtain high resolution hippocampal images and is not intended to be used in routine clinical scans.…”

Section: Discussionmentioning

confidence: 99%

Clear and Consistent Imaging of Hippocampal Internal Architecture With High Resolution Multiple Image Co-registration and Averaging (HR-MICRA)

et al. 2021

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Magnetic resonance imaging of hippocampal internal architecture (HIA) at 3T is challenging. HIA is defined by layers of gray and white matter that are less than 1 mm thick in the coronal plane. To visualize HIA, conventional MRI approaches have relied on sequences with high in-plane resolution (≤0.5 mm) but comparatively thick slices (2–5 mm). However, thicker slices are prone to volume averaging effects that result in loss of HIA clarity and blurring of the borders of the hippocampal subfields in up to 61% of slices as has been reported. In this work we describe an approach to hippocampal imaging that provides consistently high HIA clarity using a commonly available sequence and post-processing techniques that is flexible and may be applicable to any MRI platform. We refer to this approach as High Resolution Multiple Image Co-registration and Averaging (HR-MICRA). This approach uses a variable flip angle turbo spin echo sequence to repeatedly acquire a whole brain T2w image volume with high resolution in three dimensions in a relatively short amount of time, and then co-register the volumes to correct for movement and average the repeated scans to improve SNR. We compared the averages of 4, 9, and 16 individual scans in 20 healthy controls using a published HIA clarity rating scale. In the body of the hippocampus, the proportion of slices with good or excellent HIA clarity was 90%, 83%, and 67% for the 16x, 9x, and 4x HR-MICRA images, respectively. Using the 4x HR-MICRA images as a baseline, the 9x HR-MICRA images were 2.6 times and 16x HR-MICRA images were 3.2 times more likely to have high HIA ratings (p < 0.001) across all hippocampal segments (head, body, and tail). The thin slices of the HR-MICRA images allow reformatting in any plane with clear visualization of hippocampal dentation in the sagittal plane. Clear and consistent visualization of HIA will allow application of this technique to future hippocampal structure research, as well as more precise manual or automated segmentation.

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Accuracy of the Compressed Sensing Accelerated 3D-FLAIR Sequence for the Detection of MS Plaques at 3T

Abstract: With a compressed sensing factor of 1.3, 3D-FLAIR is 27% faster and preserves diagnostic performance for the detection of MS plaques at 3T.

Cited by 55 publications

References 21 publications

Compressed Sensing–Sensitivity Encoding (CS-SENSE) Accelerated Brain Imaging: Reduced Scan Time without Reduced Image Quality

Compressed Sensing–Sensitivity Encoding (CS-SENSE) Accelerated Brain Imaging: Reduced Scan Time without Reduced Image Quality

Three-dimensional MRI sequences in MS diagnosis and research

Clear and Consistent Imaging of Hippocampal Internal Architecture With High Resolution Multiple Image Co-registration and Averaging (HR-MICRA)

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