Multi-Contrast, Isotropic, Single-Slab 3D MR Imaging in Multiple Sclerosis

2009 ◽  
Vol 22 (1_suppl) ◽  
pp. 33-42
Author(s):  
Bastiaan Moraal ◽  
Stefan D. Roosendaal ◽  
Petra J. W. Pouwels ◽  
Hugo Vrenken ◽  
Ronald A. van Schijndel ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Spin Echo ◽  
Brain Lesions ◽  
Lesion Detection ◽  
Inversion Recovery ◽  
Rapid Acquisition ◽  
Fluid Attenuated Inversion Recovery ◽  
Student’S T ◽  
3D Sequences ◽  
3D Flair

To describe signal and contrast properties of an isotropic, single-slab 3D dataset [double inversion-recovery (DIR), fluid-attenuated inversion recovery (FLAIR), T2, and T1-weighted magnetization prepared rapid acquisition gradient-echo (MPRAGE)] and to evaluate its performance in detecting multiple sclerosis (MS) brain lesions compared to 2D T2-weighted spin-echo (T2SE). All single-slab 3D sequences and 2D-T2SE were acquired in 16 MS patients and 9 age-matched healthy controls. Lesions were scored independently by two raters and characterized anatomically. Two-tailed Bonferroni-corrected Student's t-tests were used to detect differences in lesion detection between the various sequences per anatomical area after log-transformation. In general, signal and contrast properties of the 3D sequences enabled improved detection of MS brain lesions compared to 2D-T2SE. Specifically, 3D-DIR showed the highest detection of intracortical and mixed WM-GM lesions, whereas 3D-FLAIR showed the highest total number of WM lesions. Both 3D-DIR and 3D-FLAIR showed the highest number of infratentorial lesions. 3D-T2 and 3D-MPRAGE did not improve lesion detection compared to 2D-T2SE. Multi-contrast, isotropic, single-slab 3D MRI allowed an improved detection of both GM and WM lesions compared to 2D-T2SE. A selection of single-slab 3D contrasts, for example, 3D-FLAIR and 3D-DIR, could replace 2D sequences in the radiological practice.

scholarly journals Komparacija detektabilnosti mozdanih lezija u multipleks sklerozi pri pregledu magnetnom rezonancijom jacine magnetnog polja 1.0 i 3.0 Tesla

2007 ◽  
Vol 54 (3) ◽  
pp. 115-117 ◽  
Author(s):  
T.L. Stosic-Opincal ◽  
M. Gavrilov ◽  
S. Lavrnic ◽  
R. Milenkovic ◽  
V. Peric ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Spin Echo ◽  
Relative Sensitivity ◽  
Brain Lesions ◽  
Lesion Detection ◽  
Focal Lesion ◽  
Gadolinium Contrast ◽  
Contrast Enhanced ◽  
Fluid Attenuated Inversion Recovery ◽  
3.0 T

To estimate the relative sensitivity of MR examination for brain lesions in multiple sclerosis at 1.0 Tesla (T) and 3.0 T using identical acquisition conditions. 54 patients with multiple sclerosis were examined both at 1.0T (Siemens Impact Expert) and 3.0T (Philips Intera) using T1-weighted spin echo (T1W-SE) with and without gadolinium contrast injections, T2W SE and fluid attenuated inversion recovery (FLAIR) imaging. Images were examined independently by three experienced neuroradiologists using focal lesion counting. 3.0T scans compared with 1.0T scans demonstrate a 27.3%, increase in the number of detected contrast enhanced lesions and an 22.7% increase in the number of detected lesions on FLAIR MR tomograms. High field 3.0T MR imaging demonstrates better sensitivity in the detection of focal brain lesions in multiple sclerosis. This improvement is more apparent in contrast enhanced lesion detection and less noticeable in FLAIR detected lesions.

scholarly journals Diffusion Histology Imaging to Improve Lesion Detection and Classification in Multiple Sclerosis

2019 ◽  
Author(s):  
Zezhong Ye ◽  
Ajit George ◽  
Anthony T. Wu ◽  
Xuan Niu ◽  
Joshua Lin ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Black Hole ◽  
Magnetization Transfer ◽  
Lesion Detection ◽  
Great Promise ◽  
Rapid Acquisition ◽  
Normal Appearing White Matter ◽  
Imaging Results ◽  
Fluid Attenuated Inversion Recovery ◽  
Multiple Sclerosis Patients

AbstractBackgroundDiagnosing MS through magnetic resonance imaging (MRI) requires extensive clinical experience and tedious work. Furthermore, MRI-indicated MS lesion locations rarely align with the patients’ symptoms and often contradict with pathology studies. Our lab has developed and modified a novel diffusion basis spectrum imaging (DBSI) technique to address the shortcomings of MRI-based MS diagnoses. Although primary DBSI metrics have been demonstrated to be associated with axonal injury/loss, demyelination and inflammation, a more detailed analysis using multiple DBSI-structural metrics to improve the accuracy of MS lesion detection and differentiation is still needed. Here we report that Diffusion Histology Imaging (DHI), an improved approach that combines a deep neural network (DNN) algorithm with improved DBSI analyses, accurately detected and classified various MS lesion types.MethodsThirty-eight multiple sclerosis patients were scanned with T2-weighted imaging (T2WI) using fluid attenuated inversion recovery (FLAIR), T1-weighted imaging (T1WI) using magnetization-prepared rapid acquisition with gradient echo (MPRAGE), magnetization transfer contrast (MTR) imaging and diffusion-weighted imaging. The imaging results identified 43,261 voxels from 91 persistent black hole (PBH) lesions, 89 persistent gray hole (PGH) lesions, 16 acute gray hole (AGH) lesions, 189 non-black hole (NBH) lesions and 113 normal-appearing white matter (NAWM) areas. Data extracted from these lesions were randomly split into training, validation, and testing groups with an 8:1:1 ratio. The DNN was constructed with 10 fully-connected hidden layers using TensorFlow 2.0 in Python. Batch normalization and dropout regularization were used for model optimization.ResultsEach MS lesion type had unique DBSI derived diffusion metric profiles. Based on these DBSI diffusion metric profiles, DHI achieved a 93.6% overall concordance with neurologist determinations of all five MS lesions, compared with 74.3% from conventional MRI (cMRI)-DNN model, 78.2% from MTR-DNN model, and 80% from DTI-DNN model. DHI also achieved greater performances on detecting individual MS lesion types compared to other models. Specifically, DHI showed great performances on prediction of PBH (AUC: 0.991; F1-score: 0.923), PGH (AUC: 0.977; F1-score: 0.823) and AGH (AUC: 0.987; F1-score: 0.887), which significantly outperformed other models.ConclusionsDHI significantly improves the detection and classification accuracy for various MS lesion types, which could greatly aid the clinical decisions of neurologists and neuroradiologists. The efficacy and efficiency of this DNN model shows great promise for clinical application.

scholarly journals Lesion load assessment among multiple sclerosis patient using DIR, FLAIR, and T2WI sequences

2020 ◽  
Vol 51 (1) ◽  
Author(s):  
Abdullah Dhaifallah Almutairi ◽  
Hasyma Abu Hassan ◽  
Subapriya Suppiah ◽  
Othman I. Alomair ◽  
Abdulbaset Alshoaibi ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Neurological Disorders ◽  
Lesion Detection ◽  
Inversion Recovery ◽  
Daily Routine ◽  
Lesion Load ◽  
Significant Difference ◽  
Fluid Attenuated Inversion Recovery ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

Abstract Background Magnetic resonance imaging (MRI) is one of the diagnostic imaging modalities employing in lesion detection in neurological disorders such as multiple sclerosis (MS). Advances in MRI techniques such as double inversion recovery (DIR) made it more sensitive to distinguish lesions in the brain. To investigate the lesion load on different anatomical regions of the brain with MS using DIR, fluid attenuated inversion recovery (FLAIR) and T2-weighted imaging (T2WI) sequences. A total of 97 MS patients were included in our retrospective study, confirmed by neurologist. The patients were randomly selected from the major hospital in Saudi Arabia. All images were obtained using 3T Scanner (Siemens Skyra). The images from the DIR, FLAIR, and T2WI sequence were compared on axial planes with identical anatomic position and the number of lesions was assigned to their anatomical region. Results Comparing the lesion load measurement at various brain anatomical regions showed a significant difference among those three methods (p < 0.05). Conclusion DIR is a valuable MRI sequence for better delineation, greater contrast measurements and the increasing total number of MS lesions in MRI, compared with FLAIR, and T2WI and DIR revealed more intracortical lesions as well; therefore, in MS patients, it is recommended to add DIR sequence in daily routine imaging sequences.

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