Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans

Seynnes, Olivier; Cronin, Neil J.

doi:10.1371/journal.pone.0229034

Cited by 45 publications

(62 citation statements)

References 21 publications

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“…We used an open‐source ImageJ/Fiji 13 plugin to automate muscle architecture analysis 14 . Briefly, the script automates image filtering and the segmentation of aponeuroses and fascicle fragments.…”

Section: Methodsmentioning

confidence: 99%

Adaptations to explosive resistance training with partial range of motion are not inferior to full range of motion

Werkhausen

Solberg

Paulsen

et al. 2021

Scandinavian Med Sci Sports

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We tested whether explosive resistance training with partial range of motion (ROM) would be as effective as full ROM training using a noninferiority trial design. Fifteen subjects with strength training experience took part in an explosive—concentric only—leg press training program, three times per week for 10 weeks. One leg was randomly assigned to exercise with partial ROM (ie, 9º) and the other leg to full ROM. Before and after training, we assessed leg press performance, isokinetic concentric and isometric knee extension torque, and vastus lateralis muscle architecture. Overall, both training modalities increased maximal strength and rate of force development. Training with partial ROM yielded noninferior results compared to full ROM for leg press peak power (+69 ± 47% vs. +61 ± 64%), isokinetic strength (4‐6 ± 6%‐12% vs. 1‐6 ± 6%‐10% at 30, 60, and 180˚s‐1), and explosive torque after 100 (47 ± 24 vs. 35 ± 22) and 150 ms (57 ± 22% vs. 42 ± 25%). The comparison was inconclusive for other functional parameters (ie, isokinetic peak torque (300˚s−1), joint angle at isokinetic peak torque, explosive torque after 50 ms, and electrically evoked torque) and for muscle fascicle length and thickness, although noninferiority was established for pennation angle. However, partial ROM was not found statistically inferior to full ROM for any measured variable. Under the present conditions, the effects of explosive heavy resistance training were independent of joint ROM. Instead, these data suggest that the distinct timing of muscle work in explosive contractions confers more influence to the starting joint angle than ROM on adaptations to this type of training.

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Section: Methodsmentioning

confidence: 99%

Adaptations to explosive resistance training with partial range of motion are not inferior to full range of motion

Werkhausen

Solberg

Paulsen

et al. 2021

Scandinavian Med Sci Sports

Self Cite

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“…Images were analyzed using SMA (Simple Muscle Architecture Analysis) automated algorithm developed by Seynnes and Cronin [21]. The software has been demonstrated to be equally valid to manual segmentation [21]. The ultrasound images which had been recorded during the corresponding five continuous steps determined from the kinematic data were analyzed.…”

Section: Ultrasound Analysismentioning

confidence: 99%

Longer Achilles tendon moment arm results in better running economy

Kovács

Kóbor

Sebestyén

et al. 2021

PhysInt

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Based on the current literature, the link between Achilles tendon moment arm length and running economy is not well understood. Therefore, the aim of this study was to further investigate the connection between Achilles tendon moment arm and running economy and the influence of Achilles tendon moment arm on the function of the plantarflexor muscle-tendon unit during running.Ten male competitive marathon runners volunteered for this study. The participants ran on a treadmill at two running speeds: 3 and 3.5 m s−1. During running the oxygen consumption, lower leg kinematics, electrical activity of plantar flexor muscles, and fascicle behavior of the lateral gastrocnemius were measured simultaneously. On the second occasion, an MRI scan of the right leg was taken and used to estimate the Achilles tendon moment arm length.There was a negative correlation between running economy and the body height normalized moment arm length at both selected speeds (r = −0.68, P = 0.014 and r = −0.70, P = 0.01). In addition, Achilles tendon moment arm length correlated with the amplitude of the ankle flexion at both speeds (r = −0.59, P = 0.03 and r = −0.60, P = 0.03) and with the electrical activity of the medial gastrocnemius muscle at 3 m s−1 speed (r = −0.62, P = 0.02). Our finding supports the concept that a longer moment arm could be beneficial for distance runners.

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“…The overall outcomes of the Tables (3, 4 Table 9 illustrates the average PSNR performance using nine different state-of-the-art algorithms under different noise levels on the 150 test images. In addition, this part compares the execution time and the performance outcomes between the proposed FQPSO-MP algorithm with seven denoising algorithms such as SNLM [32], BM3D [12], BM3D-SAPCA [33], FastNLM [34], FNCSR [35], K-SVD [7], and WNNM [16] to demonstrate the efficiency of the proposed FQPSO-MP algorithm in large-scale image verity. We had produced 150image from the BSD500 [25] to guarantee a suitable comparison.…”

Section: Comparison Between the Proposed Fqpso-mp And The State-of-thmentioning

confidence: 99%

A Fast Quantum Particle Swarm Optimization Algorithm for Image Denoising Problem

Elsayed¹,

Salem²,

Aly³

2020

IJIES

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Noise can affect images while acquired, transmitted, stored or compressed. One of the best methods for noise removal is the sparse representation algorithm (SR). The Quantum Particle Swarm Optimization (QPSO) is one of the meta-heuristic algorithms. This paper shows excellent results in noise reduction in the quick version of QPSO, which uses benefit of the SRs and meta-heuristic algorithms. This approach is known as FQPSO-MP, depending on the matching pursuit algorithm (MP). A proposed Dynamic-Multi-Swarm (DMS) and a pre-learned dictionary (FQPSO-MP) method saves the time of calculating the learning dictionary. These modifications contribute to important benefits of computing efficiency (productivity improvements of approximately 90% are achieved) without sacred image quality in comparison with the initial QPSO-MP technique (the bigger reduction relative to the PSNR indexes is lower than 0.58 dB and 0.019). The proposed FQPSO-MP method compared to the original QPSO-MP method after modification. The scientific results show that the FQPSO-MP algorithm is more effective and quicker without sacrificing image quality than the FQPSO-MP algorithm. The experimental results show, in comparison to state-of-the-art denoising algorithms, that both quantitative and image quality results are achieved with the suggested FQPSO-MP method.

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Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans

Cited by 45 publications

References 21 publications

Adaptations to explosive resistance training with partial range of motion are not inferior to full range of motion

Adaptations to explosive resistance training with partial range of motion are not inferior to full range of motion

Longer Achilles tendon moment arm results in better running economy

A Fast Quantum Particle Swarm Optimization Algorithm for Image Denoising Problem

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