Purpose: To assess the potential for accelerating continuous-wave (CW) T dispersion measurement with compressed sensing approach via studying the effect that the data reduction has on the ability to detect differences between intact and degenerated articular cartilage with different spin-lock amplitudes and to assess quantitative bias due to acceleration.

Methods: Osteochondral plugs (n = 27, 4 mm diameter) from femur (n = 14) and tibia (n = 13) regions from human cadaver knee joints were obtained from commercial biobank (Science Care, USA) under Ethical permission 134/2015. MRI of specimens was performed at 9.4T with magnetization prepared radial balanced SSFP (bSSFP) readout sequence, and the CWT relaxation time maps were computed from the measured data. The relaxation time maps were evaluated in the cartilage zones for different acceleration factors. For reference, Osteoarthritis Research Society International (OARSI) grading and biomechanical measurements were performed and correlated with the MRI findings.

Results: Four-fold acceleration of CWT dispersion measurement by compressed sensing approach was feasible without meaningful loss in the sensitivity to osteoarthritic (OA) changes within the articular cartilage. Differences were significant between intact and OA groups in the superficial and transitional zones, and CWT correlated moderately with the reference measurements (0.3 < r < 0.7).

Conclusion: CWT was able to differentiate between intact and OA cartilage even with four-fold acceleration. This indicates that acceleration of CWT dispersion measurement by compressed sensing approach is feasible with negligible loss in the sensitivity to osteoarthritic changes in articular cartilage.

Download full-text PDF

Source
http://dx.doi.org/10.1002/mrm.30206DOI Listing

Publication Analysis

Top Keywords

compressed sensing
12
magnetization prepared
8
prepared radial
8
radial balanced
8
dispersion measurement
8
measurement compressed
8
sensing approach
8
differences intact
8
articular cartilage
8
relaxation time
8

Similar Publications

Adaptive Memory-Augmented Unfolding Network for Compressed Sensing.

Sensors (Basel)

December 2024

School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.

Deep unfolding networks (DUNs) have attracted growing attention in compressed sensing (CS) due to their good interpretability and high performance. However, many DUNs often improve the reconstruction effect at the price of a large number of parameters and have the problem of feature information loss during iteration. This paper proposes a novel adaptive memory-augmented unfolding network for compressed sensing (AMAUN-CS).

View Article and Find Full Text PDF

Medical device-related pressure injuries (MDRPIs) pose a significant risk in the home health environment, where patients may lack continuous professional oversight. Devices commonly used in the home environment with the potential to cause a MDRPI include but are not limited to nasogastric tubes, feeding tubes, nasal cannulas, nasal cannula prongs, airway pressure masks, indwelling urinary catheters, sequential compression devices, dressings, bandages, and tracheostomies. When a medical device is used for an extended period, it can lead to unrelieved pressure or edema, cause friction and/or shearing that impairs sensation, reduces circulation, and alters the microclimate.

View Article and Find Full Text PDF

Highly Elastic Spongelike Hydrogels for Impedance-Based Multimodal Sensing.

ACS Nano

January 2025

School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Republic of Singapore.

Hydrogel-based sensors have been widely studied for perceiving the environment. However, the simplest type of resistive sensors still lacks sensitivity to localized strain and other extractable data. Enhancing their sensitivity and expanding their functionality to perceive multiple stimuli simultaneously are highly beneficial yet require optimal material design and proper testing methods.

View Article and Find Full Text PDF

Quantitative abdominal magnetic resonance imaging (MRI) offers non-invasive, objective assessment of diseases in the liver, pancreas, and other organs and is increasingly being used in the pediatric population. Certain quantitative MRI techniques, such as liver proton density fat fraction (PDFF), R2* mapping, and MR elastography, are already in wide clinical use. Other techniques, such as liver T1 mapping and pancreas quantitative imaging methods, are emerging and show promise for enhancing diagnostic sensitivity and treatment monitoring.

View Article and Find Full Text PDF

Background: Quadrilateral space syndrome is a painful disorder of the shoulder caused by static or dynamic entrapment of the axillary nerve and the posterior humeral circumflex artery. It was first described in 1983; however, it is an uncommon syndrome that initially presents with nonspecific shoulder pain or selective deltoid atrophy, and diagnosis is often delayed owing to its rarity. Young athletes of overhead sports are more commonly affected by this syndrome.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!