Obtaining Quality Extended Field-of-View Ultrasound Images of Skeletal Muscle to Measure Muscle Fascicle Length

10.3791/61765 ◽  
2020 ◽  
Author(s):  
Amy N. Adkins ◽  
Wendy M. Murray
Keyword(s):  
Skeletal Muscle ◽  
Field Of View ◽  
Ultrasound Images ◽  
Fascicle Length ◽  
Muscle Fascicle ◽  
Extended Field ◽  
Extended Field Of View

In vivo assessment of muscle fascicle length by extended field-of-view ultrasonography

2010 ◽  
Vol 109 (6) ◽  
pp. 1974-1979 ◽  
Author(s):  
M. Noorkoiv ◽  
A. Stavnsbo ◽  
P. Aagaard ◽  
A. J. Blazevich
Keyword(s):  
Intraclass Correlation ◽  
Field Of View ◽  
Absolute Difference ◽  
Linear Extrapolation ◽  
Fascicle Length ◽  
Digital Photographs ◽  
Muscle Fascicle ◽  
Extended Field ◽  
Extended Field Of View

The present study examined the reliability and validity of in vivo vastus lateralis (VL) fascicle length ( Lf) assessment by extended field-of-view ultrasonography (EFOV US). Intraexperimenter and intersession reliability of EFOV US were tested. Further, Lf measured from EFOV US images were compared to Lf measured from static US images (6-cm FOV) where out-of-field fascicle portions were trigonometrically estimated (linear extrapolation). Finally, spatial accuracy of the EFOV technique was assessed by comparing Lf measured on swine VL by EFOV US to actual measurements from digital photographs. The difference between repeated VL Lf measurements by the same experimenter was 2.1 ± 1.7% with an intraclass correlation (ICC) of 0.99 [95% confidence interval (CI) = 0.95–1.00]. In terms of intersession reliability, no difference ( P = 0.48) was observed between Lf measured on two different occasions, with ICC = 0.95 (CI = 0.80–0.99). The average absolute difference between Lf measured by EFOV US and using linear extrapolation was 12.6 ± 8.1% [ICC = 0.76 (CI = −0.20–0.94)]; EFOV Lf was always longer than extrapolated Lf. The relative error of measurement between Lf measured by EFOV US and by dissective assessment (digital photographs) in isolated swine VL was 0.84% ± 2.6% with an ICC of 0.99 (CI = 0.94–1.00). These results show that EFOV US is a reliable and valid method for the measurement of long muscle fascicle in vivo. Thus EFOV US analysis was proven more accurate for the assessment of skeletal muscle fascicle length than conventional extrapolation methods.

Method and apparatus for rotation registration of extended field of view ultrasound images

2004 ◽  
Vol 115 (1) ◽  
pp. 27
Author(s):  
Fang F. Dong ◽  
Brian Peter Geiser
Keyword(s):  
Field Of View ◽  
Ultrasound Images ◽  
Extended Field ◽  
Extended Field Of View

Variability of Regional Quadriceps Architecture in Trained Men Assessed by B-Mode and Extended-Field-of-View Ultrasonography

2020 ◽  
Vol 15 (3) ◽  
pp. 430-436 ◽  
Author(s):  
Dustin J. Oranchuk ◽  
André R. Nelson ◽  
Adam G. Storey ◽  
John B. Cronin
Keyword(s):  
Vastus Lateralis ◽  
Intraclass Correlation ◽  
Muscle Thickness ◽  
Rectus Femoris ◽  
Field Of View ◽  
Fascicle Length ◽  
Large Variability ◽  
Extended Field ◽  
Extended Field Of View ◽  
Regional Muscle

Purpose: Regional muscle-architecture measures are reported widely; however, little is known about the variability of these measurements in the rectus femoris, vastus lateralis, and anterior and lateral vastus intermedius. The aim of this study was to quantify this variability. Methods: Regional muscle thickness, pennation angle (PA), and calculated and extended-field-of-view–derived fascicle length (FL) were quantified in 26 participants using ultrasonography across 51 limbs on 3 occasions. To quantify variability, the typical error of measurement (TEM) was multiplied by 2, and thresholds of 0.2–0.6 (small), 0.6–1.2 (moderate), 1.2–2.0 (large), 2.0–4.0 (very large), and >4.0 (extremely large) were applied. In addition, variability was deemed large when the intraclass correlation coefficient (ICC) was <.67 and coefficient of variation (CV) >10%, moderate when ICC > .67 or CV < 10% (but not both), and small when both ICC > .67 and CV < 10%. Results: Muscle thickness of all muscles and regions had low to moderate variability (ICC = .88–.98, CV = 2.4–9.3%, TEM = 0.15–0.47). PA of the proximal and distal vastus lateralis had low variability (ICC = .85–.96, CV = 3.8–8%) and moderate to large TEM (TEM = 0.42–0.83). PA of the rectus femoris was found to have moderate to very large variability (ICC = .38–.74, CV = 11.4–18.5%, TEM = 0.61–1.29) regardless of region. Extended-field-of-view–derived FL (ICC = .57–.94, CV = 4.1–11.5%, TEM = 0.26–0.88) was superior to calculated FL (ICC = .37–.84, CV = 7.4–17.9%, TEM = 0.44–1.33). Conclusions: Variability of muscle thickness was low in all quadriceps muscles and regions. Only rectus femoris PA and FL measurements were highly variable. The extended-field-of-view technique should be used to assess FL where possible. Inferences based on rectus femoris architecture should be interpreted with caution.

scholarly journals Demonstration of extended field-of-view ultrasound’s potential to increase the pool of muscles for which in vivo fascicle length is measurable

2017 ◽  
Vol 63 ◽  
pp. 179-185 ◽  
Author(s):  
Amy N. Adkins ◽  
Patrick W. Franks ◽  
Wendy M. Murray
Keyword(s):  
Field Of View ◽  
Fascicle Length ◽  
Extended Field ◽  
Extended Field Of View

scholarly journals 3D extended field-of-view of the knee joint bones using ultrasound: Application in orthopaedics

10.29007/p1zn ◽  
2019 ◽  
Author(s):  
Maged Nasan ◽  
Yannick Morvan ◽  
Guillaume Dardenne ◽  
Jean Chaoui ◽  
Eric Stindel
Keyword(s):  
Knee Joint ◽  
False Positive Rate ◽  
Field Of View ◽  
Patient Specific ◽  
Ultrasound Images ◽  
Registration Method ◽  
Extended Field ◽  
Extended Field Of View

Patient Specific Instruments (PSIs) have been introduced into the surgical workflow as a modern way to assist the surgeon in performing femur and tibia resection in Total Knee Arthroplasty (TKA). These PSIs are based on an accurate reconstruction of the surface of the knee’s bones.In this work, we propose two 3D-3D image-based registration methods to reconstruct an extended field-of-view of the knee joint using only a motorized ultrasound transducer. Those methods are: (1) a dense voxel-based registration method, which needs to preprocess the ultrasound images and form an ultrasound volume. Then, computing the Mutual Information (MI) for each relative displacement to align every pair of volumes, (2) a sparse point-based registration method, which takes into account the point set located on the surface of the bone in ultrasound images. This method detects bony features using ORB detector and matches the corresponding points to find the best transformation using Coherent Point Drift (CPD).The preliminary qualitative results performed in vitro show that from a set of consecutive ultrasound volumes, an extended field-of-view can be reconstructed using only ultrasound images without any external trackers. Results of the voxel-based approach show that MI is more robust against noise comparing to other similarity measures. On the other hand, results of point-based approach show that is much faster in computation with a low false-positive rate compared to other feature-detectors like SIFT and SURF. Furthermore, experiments show that CPD is less affected by noisy data compared to the classical ICP, which is promising to continue evaluating our work in vivo.

Extended Field Of View (EFOV) in Gynäkologie und Geburtshilfe

2004 ◽  
Vol 207 (S 2) ◽  
Author(s):  
W Henrich ◽  
JW Dudenhausen
Keyword(s):  
Field Of View ◽  
Extended Field ◽  
Extended Field Of View

scholarly journals Evaluation of novel AI‐based extended field‐of‐view CT reconstructions

2021 ◽  
Author(s):  
Gabriel Paiva Fonseca ◽  
Matthias Baer‐Beck ◽  
Eric Fournie ◽  
Christian Hofmann ◽  
Ilaria Rinaldi ◽  
...  
Keyword(s):  
Field Of View ◽  
Extended Field ◽  
Extended Field Of View

Iterative extended field of view reconstruction

2007 ◽  
Author(s):  
Holger Kunze ◽  
Wolfgang Härer ◽  
Karl Stierstorfer
Keyword(s):  
Field Of View ◽  
Extended Field ◽  
View Reconstruction ◽  
Extended Field Of View

Does Extended-Field-of-View Sonography Improve Interrater Reliability for the Detection of Rotator Cuff Muscle Atrophy?

2008 ◽  
Vol 190 (1) ◽  
pp. 27-31 ◽  
Author(s):  
Eoin C. Kavanagh ◽  
George Koulouris ◽  
Laurence Parker ◽  
William B. Morrison ◽  
Diane Bergin ◽  
...  
Keyword(s):  
Rotator Cuff ◽  
Muscle Atrophy ◽  
Interrater Reliability ◽  
Field Of View ◽  
Rotator Cuff Muscle ◽  
Extended Field ◽  
Extended Field Of View

scholarly journals Dynamics of cell and tissue growth acquired by means of extended field of view lensfree microscopy

2016 ◽  
Vol 7 (2) ◽  
pp. 512 ◽  
Author(s):  
F. Momey ◽  
J.-G. Coutard ◽  
T. Bordy ◽  
F. Navarro ◽  
M. Menneteau ◽  
...  
Keyword(s):  
Tissue Growth ◽  
Field Of View ◽  
Extended Field ◽  
Extended Field Of View
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