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Gao F, Wen Z, Dou S, Kan X, Wei S, Ge Y. High-Resolution Simultaneous Multi-Slice Accelerated Turbo Spin-Echo Musculoskeletal Imaging: A Head-to-Head Comparison With Routine Turbo Spin-Echo Imaging. Front Physiol 2022; 12:759888. [PMID: 34992546 PMCID: PMC8724040 DOI: 10.3389/fphys.2021.759888] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/17/2021] [Indexed: 02/05/2023] Open
Abstract
Background/Aim: The turbo spin-echo (TSE) sequence is widely used for musculoskeletal (MSK) imaging; however, its acquisition speed is limited and can be easily affected by motion artifacts. We aimed to evaluate whether the use of a simultaneous multi-slice TSE (SMS-TSE) sequence can accelerate MSK imaging while maintaining image quality when compared with the routine TSE sequence. Methods: We prospectively enrolled 71 patients [mean age, 37.43 ± 12.56 (range, 20–67) years], including 37 men and 34 women, to undergo TSE and SMS sequences. The total scanning times for the wrist, ankle and knee joint with routine sequence were 14.92, 13.97, and 13.48 min, respectively. For the SMS-TSE sequence, they were 7.52, 7.20, and 6.87 min. Quantitative parameters, including the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), were measured. Three experienced MSK imaging radiologists qualitatively evaluated the image quality of bone texture, cartilage, tendons, ligament, meniscus, and artifact using a 5-point evaluation system, and the diagnostic performance of the SMS-TSE sequences was evaluated. Results: Compared with the routine TSE sequences, the scanning time was lower by 49.60, 48.46, and 49.04% using SMS-TSE sequences for the wrist, ankle, and knee joints, respectively. For the SNR comparison, the SMS-TSE sequences were significantly higher than the routine TSE sequence for wrist (except for Axial-T2WI-FS), ankle, and knee joint MR imaging (all p < 0.05), but no statistical significance was obtained for the CNR measurement (all p > 0.05, except for Sag-PDWI-FS in ankle joint). For the wrist joint, the diagnostic sensitivity, specificity, and accuracy were 88.24, 100, and 92%. For the ankle joint, they were 100, 75, and 93.33%. For the knee joint, they were 87.50, 85.71, and 87.10%. Conclusion: The use of the SMS-TSE sequence in the wrist, ankle, and knee joints can significantly reduce the scanning time and show similar image quality when compared with the routine TSE sequence.
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Affiliation(s)
- Feifei Gao
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Zejun Wen
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Shewei Dou
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiaojing Kan
- Department of Radiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Shufang Wei
- Department of Radiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Yinghui Ge
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China.,Department of Radiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
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Riedel Né Steinhoff M, Setsompop K, Mertins A, Börnert P. Segmented simultaneous multi-slice diffusion-weighted imaging with navigated 3D rigid motion correction. Magn Reson Med 2021; 86:1701-1717. [PMID: 33955588 DOI: 10.1002/mrm.28813] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 03/29/2021] [Accepted: 03/29/2021] [Indexed: 11/09/2022]
Abstract
PURPOSE To improve the robustness of diffusion-weighted imaging (DWI) data acquired with segmented simultaneous multi-slice (SMS) echo-planar imaging (EPI) against in-plane and through-plane rigid motion. THEORY AND METHODS The proposed algorithm incorporates a 3D rigid motion correction and wavelet denoising into the image reconstruction of segmented SMS-EPI diffusion data. Low-resolution navigators are used to estimate shot-specific diffusion phase corruptions and 3D rigid motion parameters through SMS-to-volume registration. The shot-wise rigid motion and phase parameters are integrated into a SENSE-based full-volume reconstruction for each diffusion direction. The algorithm is compared to a navigated SMS reconstruction without gross motion correction in simulations and in vivo studies with four-fold interleaved 3-SMS diffusion tensor acquisitions. RESULTS Simulations demonstrate high fidelity was achieved in the SMS-to-volume registration, with submillimeter registration errors and improved image reconstruction quality. In vivo experiments validate successful artifact reduction in 3D motion-compromised in vivo scans with a temporal motion resolution of approximately 0.3 s. CONCLUSION This work demonstrates the feasibility of retrospective 3D rigid motion correction from shot navigators for segmented SMS DWI.
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Affiliation(s)
| | - Kawin Setsompop
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.,Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.,Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA
| | - Alfred Mertins
- Institute for Signal Processing, University of Luebeck, Luebeck, Germany
| | - Peter Börnert
- Philips Research, Hamburg, Germany.,Radiology, C.J. Gorter Center for High-Field MRI, Leiden University Medical Center, Leiden, The Netherlands
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Hocke LM, Frederick BB. Post-hoc physiological waveform extraction from motion estimation in simultaneous multislice (SMS) functional MRI using separate stack processing. Magn Reson Med 2020; 85:309-315. [PMID: 32720334 DOI: 10.1002/mrm.28418] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 05/15/2020] [Accepted: 06/17/2020] [Indexed: 11/06/2022]
Abstract
PURPOSE Motion estimation is an essential step in functional MRI (fMRI) preprocessing. Usually, fMRI processing software packages (eg, FSL and AFNI) automatically estimate motion parameters in order to counteract the effects of motion. However, the time courses of the motion estimation for fMRI data also contain information about physiological processes. Here, we show that respiration and cardiac signals can be extracted from motion estimation at significantly higher bandwidth than is possible with current methods. METHOD To detect motion at high effective temporal resolution (HighRes), the motion parameters of stacks of simultaneously acquired slices were estimated separately, then combined. This method was validated by extracting physiological motion signals from resting state fMRI (rsfMRI) data (Enhanced Nathan Kline Institute-Rockland Sample) and comparing them to respiration belt and pulse oximeter signals. RESULTS HighRes motion time-courses with an effective sampling rate of 15.5 and 11.4 Hz were extracted from repetition time (TR) = 0.645 and 1.4 s data, respectively. Respiration waveforms were extracted with significantly higher accuracy than the original motion parameters. Even cardiac waveforms could be extracted, despite the fact that the sampling time or TR values were too long to sample cardiac frequencies. CONCLUSION HighRes motion traces provide insight into the subjects' motion at higher frequencies than can be estimated using standard techniques. In its simplest form, this technique can recover accurate respiration signals and may reveal additional complexity in brain motion.
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Affiliation(s)
- Lia M Hocke
- McLean Imaging Center, McLean Hospital, Belmont, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Blaise B Frederick
- McLean Imaging Center, McLean Hospital, Belmont, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
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Power JD, Lynch CJ, Adeyemo B, Petersen SE. A Critical, Event-Related Appraisal of Denoising in Resting-State fMRI Studies. Cereb Cortex 2020; 30:5544-5559. [PMID: 32494823 DOI: 10.1093/cercor/bhaa139] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/04/2020] [Accepted: 05/04/2020] [Indexed: 12/12/2022] Open
Abstract
This article advances two parallel lines of argument about resting-state functional magnetic resonance imaging (fMRI) signals, one empirical and one conceptual. The empirical line creates a four-part organization of the text: (1) head motion and respiration commonly cause distinct, major, unwanted influences (artifacts) in fMRI signals; (2) head motion and respiratory changes are, confoundingly, both related to psychological and clinical and biological variables of interest; (3) many fMRI denoising strategies fail to identify and remove one or the other kind of artifact; and (4) unremoved artifact, due to correlations of artifacts with variables of interest, renders studies susceptible to identifying variance of noninterest as variance of interest. Arising from these empirical observations is a conceptual argument: that an event-related approach to task-free scans, targeting common behaviors during scanning, enables fundamental distinctions among the kinds of signals present in the data, information which is vital to understanding the effects of denoising procedures. This event-related perspective permits statements like "Event X is associated with signals A, B, and C, each with particular spatial, temporal, and signal decay properties". Denoising approaches can then be tailored, via performance in known events, to permit or suppress certain kinds of signals based on their desirability.
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Affiliation(s)
- Jonathan D Power
- Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA
| | - Charles J Lynch
- Brain and Mind Research Institute, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA
| | - Babatunde Adeyemo
- Departments of Neurology and Psychology, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63110, USA
| | - Steven E Petersen
- Departments of Neurology and Psychology, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63110, USA
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Hoinkiss DC, Erhard P, Breutigam NJ, von Samson-Himmelstjerna F, Günther M, Porter DA. Prospective motion correction in functional MRI using simultaneous multislice imaging and multislice-to-volume image registration. Neuroimage 2019; 200:159-173. [PMID: 31226496 DOI: 10.1016/j.neuroimage.2019.06.042] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 06/14/2019] [Accepted: 06/18/2019] [Indexed: 10/26/2022] Open
Abstract
The sensitivity to subject motion is one of the major challenges in functional MRI (fMRI) studies in which a precise alignment of images from different time points is required to allow reliable quantification of brain activation throughout the scan. Especially the long measurement times and laborious fMRI tasks add to the amount of subject motion found in typical fMRI measurements, even when head restraints are used. In case of moving subjects, prospective motion correction can maintain the relationship between spatial image information and subject anatomy by constantly adapting the image slice positioning to follow the subject in real time. Image-based prospective motion correction is well-established in fMRI studies and typically computes the motion estimates based on a volume-to-volume image registration, resulting in low temporal resolution. This study combines fMRI using simultaneous multislice imaging with multislice-to-volume-based image registration to allow sub-TR motion detection with subsequent real-time adaption of the imaging system. Simultaneous multislice imaging is widely used in fMRI studies and, together with multislice-to-volume-based image registration algorithms, enables computing suitable motion states after only a single readout by registering the simultaneously excited slices to a reference volume acquired at the start of the measurement. The technique is evaluated in three human BOLD fMRI studies (n = 1, 5, and 1) to explore different aspects of the method. It is compared to conventional, volume-to-volume-based prospective motion correction as well as retrospective motion correction methods. Results show a strong reduction in retrospectively computed residual motion parameters of up to 50% when comparing the two prospective motion correction techniques. An analysis of temporal signal-to-noise ratio as well as brain activation results shows high consistency between the results before and after additional retrospective motion correction when using the proposed technique, indicating successful prospective motion correction. The comparison of absolute tSNR values does not show an improvement compared to using retrospective motion correction alone. However, the improved temporal resolution may provide improved tSNR in the presence of more exaggerated intra-volume motion.
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Affiliation(s)
| | - Peter Erhard
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany; University of Bremen, Bremen, Germany
| | | | | | - Matthias Günther
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany; University of Bremen, Bremen, Germany
| | - David Andrew Porter
- Imaging Centre of Excellence, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, Scotland, UK
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Canellas R, Rosenkrantz AB, Taouli B, Sala E, Saini S, Pedrosa I, Wang ZJ, Sahani DV. Abbreviated MRI Protocols for the Abdomen. Radiographics 2019; 39:744-758. [PMID: 30901285 DOI: 10.1148/rg.2019180123] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Technical advances in MRI have improved image quality and have led to expanding clinical indications for its use. However, long examination and interpretation times, as well as higher costs, still represent barriers to use of MRI. Abbreviated MRI protocols have emerged as an alternative to standard MRI protocols. These abbreviated MRI protocols seek to reduce longer MRI protocols by eliminating unnecessary or redundant sequences that negatively affect cost, MRI table time, patient comfort, image quality, and image interpretation time. However, the diagnostic information is generally not compromised. Abbreviated MRI protocols have already been used successfully for hepatocellular carcinoma screening, for prostate cancer detection, and for screening for nonalcoholic fatty liver disease as well as monitoring patients with this disease. It has been reported that image acquisition time and costs can be considerably reduced with abbreviated MRI protocols, compared with standard MRI protocols, while maintaining a similar sensitivity and accuracy. Nevertheless, multiple applications still need to be explored in the abdomen and pelvis (eg, surveillance of metastases to the liver; follow-up of cystic pancreatic lesions, adrenal incidentalomas, and small renal masses; evaluation of ovarian cysts in postmenopausal women; staging of cervical and uterine corpus neoplasms; evaluation of müllerian duct anomalies). This article describes some successful applications of abbreviated MRI protocols, demonstrates how they can help in improving the MRI workflow, and explores potential future directions. ©RSNA, 2019.
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Affiliation(s)
- Rodrigo Canellas
- From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114 (R.C., S.S., D.V.S.); Department of Radiology, NYU Langone Health, New York, NY (A.B.R.); Department of Radiology, Mount Sinai Hospital, New York, NY (B.T.); Department of Radiology, University of Cambridge, Cambridge, England (E.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Andrew B Rosenkrantz
- From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114 (R.C., S.S., D.V.S.); Department of Radiology, NYU Langone Health, New York, NY (A.B.R.); Department of Radiology, Mount Sinai Hospital, New York, NY (B.T.); Department of Radiology, University of Cambridge, Cambridge, England (E.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Bachir Taouli
- From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114 (R.C., S.S., D.V.S.); Department of Radiology, NYU Langone Health, New York, NY (A.B.R.); Department of Radiology, Mount Sinai Hospital, New York, NY (B.T.); Department of Radiology, University of Cambridge, Cambridge, England (E.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Evis Sala
- From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114 (R.C., S.S., D.V.S.); Department of Radiology, NYU Langone Health, New York, NY (A.B.R.); Department of Radiology, Mount Sinai Hospital, New York, NY (B.T.); Department of Radiology, University of Cambridge, Cambridge, England (E.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Sanjay Saini
- From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114 (R.C., S.S., D.V.S.); Department of Radiology, NYU Langone Health, New York, NY (A.B.R.); Department of Radiology, Mount Sinai Hospital, New York, NY (B.T.); Department of Radiology, University of Cambridge, Cambridge, England (E.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Ivan Pedrosa
- From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114 (R.C., S.S., D.V.S.); Department of Radiology, NYU Langone Health, New York, NY (A.B.R.); Department of Radiology, Mount Sinai Hospital, New York, NY (B.T.); Department of Radiology, University of Cambridge, Cambridge, England (E.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Zhen J Wang
- From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114 (R.C., S.S., D.V.S.); Department of Radiology, NYU Langone Health, New York, NY (A.B.R.); Department of Radiology, Mount Sinai Hospital, New York, NY (B.T.); Department of Radiology, University of Cambridge, Cambridge, England (E.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Dushyant V Sahani
- From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114 (R.C., S.S., D.V.S.); Department of Radiology, NYU Langone Health, New York, NY (A.B.R.); Department of Radiology, Mount Sinai Hospital, New York, NY (B.T.); Department of Radiology, University of Cambridge, Cambridge, England (E.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
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