Publications by authors named "Celine Smekens"
Article Synopsis
- - The study aimed to assess the effectiveness of advanced deep learning techniques in speeding up knee MRI scans while maintaining image quality and diagnostic accuracy, comparing a new 4-fold accelerated protocol and a 3D superresolution reconstruction against a standard 2-fold accelerated method.
- - Researchers conducted MRI scans on 19 adult participants using three different protocols in a single session, resulting in over 21,000 images that were evaluated for quality and diagnostic confidence by three readers, including two specialized radiologists.
- - Statistical analysis was performed to compare the protocols, focusing on image quality and the detection of knee injuries, with the outcomes assessed using Likert scales for both anatomical visibility and confidence in diagnosis.
Multi-slice (MS) super-resolution reconstruction (SRR) methods have been proposed to improve the trade-off between resolution, signal-to-noise ratio and scan time in magnetic resonance imaging. MS-SRR consists in the estimation of an isotropic high-resolution image from a series of anisotropic MS images with a low through-plane resolution, where the anisotropic low-resolution images can be acquired according to different acquisition schemes. However, it is yet unclear how these schemes compare in terms of statistical performance criteria, especially for regularized MS-SRR.
View Article and Find Full Text PDFObjective: To perform a large-scale interchangeability study comparing 3D controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) sampling perfection with application optimized contrast using different flip angle evolutions (SPACE) TSE with standard 2D TSE for knee MRI.
Methods: In this prospective study, 250 patients underwent 3 T knee MRI, including a multicontrast 3D CAIPIRINHA SPACE TSE (9:26 min) and a standard 2D TSE protocol (12:14 min). Thirty-three (13%) patients had previous anterior cruciate ligament and/or meniscus surgery.
Article Synopsis
- The study aimed to investigate how the structure of arterial tissue changes by using advanced diffusion magnetic resonance imaging (dMRI) techniques on three different porcine carotid artery models: native, collagenase treated, and decellularized.
- Researchers used a high-powered 7 T scanner and various imaging protocols to capture detailed diffusion-weighted images, analyzing the role of collagen and smooth muscle cells in the tissue.
- Key findings reveal significant differences in microstructure between the models, with specific diffusion metrics indicating a greater slowing of diffusion in the absence of collagen, highlighting the potential of advanced dMRI methods for studying arterial tissue changes.
Objectives: The purpose of this study was to assess the technical feasibility of 3-dimensional (3D) super-resolution reconstruction (SRR) of 2D turbo spin echo (TSE) knee magnetic resonance imaging (MRI) and to compare its image quality with conventional 3D TSE sampling perfection with application optimized contrast using different flip angle evolutions (SPACE) MRI.
Materials And Methods: Super-resolution reconstruction 2D TSE MRI and 3D TSE SPACE images were acquired from a phantom and from the knee of 22 subjects (8 healthy volunteers and 14 patients) using a clinical 3-T scanner. For SRR, 7 anisotropic 2D TSE stacks (voxel size, 0.
Background: Magnetic resonance imaging (MRI) signal intensity (SI) measurements are being used increasingly in both clinical and research studies to assess the maturity of anterior cruciate ligament (ACL) grafts in humans. However, SI in conventional MRI with weighted images is a nonquantitative measure dependent on hardware and software.
Purpose: To conduct a systematic review of studies that have used MRI SI as a proxy for ACL graft maturity and to identify potential confounding factors in assessing the ACL graft in conventional MRI studies.