Multi-slice ultrasound image calibration of an intelligent skin-marker for soft tissue artefact compensation

2017 ◽  
Vol 62 ◽  
pp. 165-171 ◽  
Author(s):  
M.A. Masum ◽  
M.R. Pickering ◽  
A.J. Lambert ◽  
J.M. Scarvell ◽  
P.N. Smith
Keyword(s):  
Soft Tissue ◽  
Ultrasound Image ◽  
Skin Marker ◽  
Image Calibration

Effects of soft tissue artefacts on computed segmental and stifle kinematics in canine motion analysis

2019 ◽  
Vol 186 (2) ◽  
pp. 66-66 ◽  
Author(s):  
Ming Lu ◽  
Cheng-Chung Lin ◽  
Tung-Wu Lu ◽  
Shi-Nuan Wang ◽  
Ching-Ho Wu
Keyword(s):  
Soft Tissue ◽  
Motion Analysis ◽  
Soft Tissues ◽  
Functional Performance ◽  
Frontal Plane ◽  
Skin Marker ◽  
Attachment Sites ◽  
Mixed Breed ◽  
Dynamic Gait ◽  
Cluster Level

Skin marker-based motion analysis has been widely used to evaluate the functional performance of canine gait and posture. However, the interference of soft tissues between markers and the underlying bones (soft tissue artefacts, STAs) may lead to errors in kinematics measurements. Currently, no optimal marker attachment sites and cluster compositions are recommended for canine gait analysis. The current study aims to evaluate cluster-level STAs and the effects of cluster compositions on the computed stifle kinematics. Ten mixed-breed healthy dogs affixed with 19 retroreflective markers on the thigh and shank were enrolled. During isolated stifle passive extension, the marker trajectories were acquired with a motion capture system, and the skeletal poses were determined by integrating fluoroscopic and CT images of the bones. The cluster-level STAs were assessed, and clusters were paired to calculate the stifle kinematics. A selection of cluster compositions was useful for deriving accurate sagittal and frontal plane stifle kinematics with flexion angles below 50 per cent of the range of motion. The findings contribute to improved knowledge of canine STAs and their influence on motion measurements. The marker composition with the smallest error in describing joint kinematics is recommended for future applications and study in dogs during dynamic gait assessment.

scholarly journals Source investigation of two outbreaks of skin and soft tissue infection byMycobacterium abscessussubsp.abscessusin Venezuela

2015 ◽  
Vol 144 (5) ◽  
pp. 1117-1120 ◽  
Author(s):  
J. A. TORRES-COY ◽  
B. A RODRÍGUEZ-CASTILLO ◽  
R. PÉREZ-ALFONZO ◽  
J. H. DE WAARD
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Infection ◽  
Molecular Typing ◽  
Tap Water ◽  
Breast Implant ◽  
Variable Number Tandem Repeat ◽  
Variable Number ◽  
Tissue Infection ◽  
Skin Marker ◽  
Infection Source

SUMMARYOutbreaks of soft tissue or skin infection due to non-tuberculous mycobacteria are reported frequently in scientific journals but in general the infection source in these outbreaks remains unknown. In Venezuela, in two distinct outbreaks, one after breast augmentation surgery and another after hydrolipoclasy therapy, 16 patients contracted a soft tissue infection due toMycobacterium abscessussubsp.abscessus.Searching for the possible environmental infection sources in these outbreaks, initially the tap water (in the hydrolipoclasy therapy outbreak) and a surgical skin marker (in the breast implant surgery outbreak), were identified as the infection sources. Molecular typing of the strains with a variable number tandem repeat typing assay confirmed the tap water as the infection source but the molecular typing technique excluded the skin marker. We discuss the results and make a call for the implementation of stringent hygiene and disinfection guidelines for cosmetic procedures in Venezuela.

scholarly journals Endobronchial Ultrasound: A Useful Tool in the Diagnosis of Bronchogenic Cyst

2013 ◽  
Vol 3 ◽  
pp. 57 ◽  
Author(s):  
Stamatis Katsenos ◽  
Jose Rojas-Solano ◽  
Heinrich D. Becker
Keyword(s):  
Soft Tissue ◽  
Bronchogenic Cyst ◽  
Soft Tissue Mass ◽  
Ultrasound Image ◽  
Endobronchial Ultrasound ◽  
Water Density ◽  
Soft Tissue Density ◽  
Tissue Mass ◽  
Image Characteristics ◽  
Bronchogenic Cysts

Diagnosis of bronchogenic cysts is possible with computed tomography, where the cysts are seen usually as well-circumscribed lesions of water density. However, many of the cysts have a soft-tissue density thus rendering them indistinguishable from neoplasms. In this article, we describe a case of bronchogenic cyst presenting as soft-tissue mass that was evaluated and diagnosed by endobronchial ultrasound (EBUS). We discuss the ultrasound image characteristics of the cyst and its histopathology findings. EBUS seems to be a valuable tool in the diagnosis of bronchogenic cysts and also enables their complete aspiration.

scholarly journals Soft Tissue Motion during Impacts: Their Potential Contributions to Energy Dissipation

2002 ◽  
Vol 18 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Matthew T.G. Pain ◽  
John H. Challis
Keyword(s):  
Soft Tissue ◽  
Muscle Tension ◽  
Force Plate ◽  
Soft Tissue Deformation ◽  
Skin Marker ◽  
Frequency Components ◽  
Distinct Frequency ◽  
Soft Tissue Motion ◽  
Kinetics Of ◽  
Tissue Motion

The aims of this study were to quantify intrasegmental motion using an array of 28 surface-mounted markers to examine frequency and amplitude measurements of the intrasegmental motion to calculate forces and energy transfer; and to show that the underlying muscles are a major contributor to the skin marker motion. One participant performed 27 trials under three conditions in which his forearm was struck against a solid object fixed to a force plate while the locations of the markers were recorded at 240 Hz. For impacts with equal peak forces, the muscle tension significantly affected the amount of intrasegmental motion. Tensing the arm reduced the intrasegmental motion by 50%. The quadrilateral sectors defined by the markers changed in area by 11% with approximately equal motion in the vertical and horizontal direction. The maximum linear marker motion was 1.7 cm. The intrasegmental motion had distinct frequency components around 14 and 20 Hz. Soft tissue deformation could account for 70% of the energy lost from the forearm during these impacts. The study has demonstrated the important role that intrasegment soft tissue motion can have on the kinetics of an impact.

scholarly journals Application of Soft Tissue Artifact Compensation Using Displacement Dependency between Anatomical Landmarks and Skin Markers

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Taebeum Ryu
Keyword(s):  
Soft Tissue ◽  
Ad Hoc ◽  
Joint Angle ◽  
Compensation Method ◽  
Anatomical Landmarks ◽  
Sit To Stand ◽  
Skin Marker ◽  
Compensation Methods ◽  
The Difference ◽  
Soft Tissue Artifact

Soft tissue artifact is known to be one of the main sources of errors in motion analysis by means of stereophotogrammetry. Among many approaches to reduce such errors, one is to estimate the position of anatomical landmarks during a motion with joint angle or displacement of skin markers, which is the so-called compensation method of anatomical landmarks. The position of anatomical landmarks was modeled from the data of the so-called dynamic calibration, in which anatomical landmark positions are calibrated in an ad hoc motion. This study aimed to apply the compensation methods with joint angle and skin marker displacement to three lower extremity motions (walking, sit-to-stand/stand-to-sit, and step up/down) in ten healthy males and compare their reliability. To compare the methods, two sets of kinematic variables were calculated using two different marker clusters, and the difference was obtained. Results showed that the compensation method with skin marker displacement had less differences by 30–60% compared to without compensation. In addition, it had significantly less difference in some kinematic variables (7 of 18) by 25–40% compared to the compensation method with joint angle.

scholarly journals Quantifying Forearm Soft Tissue Motion from Massless Skin Markers following Forward Fall Hand Impacts

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Danielle L. Gyemi ◽  
Don Clarke ◽  
Paula M. van Wyk ◽  
William J. Altenhof ◽  
David M. Andrews
Keyword(s):  
Soft Tissue ◽  
High Speed ◽  
Soft Tissues ◽  
Skin Pigmentation ◽  
Single Layer ◽  
The Body ◽  
Shock Attenuation ◽  
Skin Marker ◽  
Soft Tissue Motion ◽  
Tissue Motion

Background: Investigating soft tissue motion related to impact events is important for understanding how the body mitigates potentially injurious forces through shock attenuation. Objectives: The aims of this study were to: 1) quantify displacement and velocity of the forearm soft tissues following forward fall impacts; and 2) compare two massless skin marker designs (single layer, uniform (SLU) design; stacked, non-uniform (SNU) design) in terms of how well they could be tracked over varying skin pigmentations using automated motion capture software. Methods: Two participant groups (skin pigmentation: light – 9F, 8M; dark – 9F, 6M) underwent simulated forward fall hand impacts for each marker design using a torso-release apparatus. Marker positions associated with planar motion of forearm soft tissues during impact were automatically tracked (ProAnalyst®) in the proximal-distal and anterior-posterior axes from high speed recordings (5000 f/s). Mean peak displacements and velocities for eight forearm regions were then calculated (LabVIEW®). Results: Overall, soft tissue displacement and velocity increased from distal to proximal forearm regions. The greatest displacement (1.47 cm) and velocity (112.8 cm/s) occurred distally toward the wrist. Soft tissue impact responses between sexes did not differ, on average (p > 0.05). The SLU and SNU markers produced different kinematic values (p < 0.05); however, the magnitudes of, and consequently meaningfulness of these statistical differences for automatically tracking soft tissue motion, were negligible (displacement: ≤ 0.05 cm; velocity: ≤ 2.5 cm/s). Conclusions: Forearm soft tissue motion was successfully quantified for forward fall hand impacts; both marker designs were deemed functionally equivalent.

scholarly journals Development and evaluation of a new methodology for Soft Tissue Artifact compensation in the lower limb

2021 ◽  
Author(s):  
Bhrigu K. Lahkar ◽  
Pierre-Yves Rohan ◽  
Ayman Assi ◽  
Helene Pillet ◽  
Xavier Bonnet ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Lower Limb ◽  
Healthy Subjects ◽  
Motor Task ◽  
Joint Kinematics ◽  
Skin Marker ◽  
Flexion Extension ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact

AbstractSkin Marker (SM) based motion capture is the most widespread technique used for motion analysis. Yet, the accuracy is often hindered by Soft Tissue Artifact (STA). This is a major issue in clinical gait analysis where kinematic results are used for decision-making. It also has a considerable influence on the results of rigid body and Finite Element (FE) musculoskeletal models that rely on SM-based kinematics to estimate muscle, contact and ligament forces. Current techniques designed to compensate for STA, in particular multi-body optimization methods, assume anatomical simplifications to define joint constraints. These methods, however, cannot adapt to subjects’ bone morphology, particularly for patients with joint lesions, nor easily can account for subject- and location-dependent STA. In this perspective, we propose to develop a conceptual FE based model of the lower limb for STA compensation and evaluate it for 66 healthy subjects under level walking motor task.Both hip and knee joint kinematics were analyzed, considering both rotational and translational joint motion. Results showed that STA caused underestimation of the hip joint kinematics (up to 2.2°) for all rotational DoF, and overestimation of knee joint kinematics (up to 12°) except in flexion/extension. Joint kinematics, in particular the knee joint, appeared to be sensitive to soft tissue stiffness parameters (rotational and translational mean difference up to 1.5° and 3.4 mm). Analysis of the results using alternative joint representations highlighted the versatility of the proposed modeling approach. This work paves the way for using personalized models to compensate for STA in healthy subjects and different activities.

scholarly journals Ultrahang-elasztográfia alkalmazásának lehetőségei a szülészet-nőgyógyászatban

2021 ◽  
Vol 162 (18) ◽  
pp. 690-695
Author(s):  
Bence Kozma ◽  
Krisztina Pákozdy ◽  
Rudolf Lampé ◽  
Ervin Berényi ◽  
Péter Takács
Keyword(s):  
Mechanical Properties ◽  
Preterm Birth ◽  
Soft Tissue ◽  
Ultrasound Image ◽  
Ultrasound Elastography ◽  
Obstetrics And Gynecology ◽  
Conventional Ultrasound ◽  
Shear Wave Elasticity Imaging ◽  
Significant Attention ◽  
Different Tissues

Összefoglaló. Az ultrahang-elasztográfia az elmúlt évek során egyre növekvő figyelmet kapott a lágyszövetek elaszticitásának vizsgálatában. A módszer használatát az teszi szükségessé, hogy egyes, a mechanikai tulajdonságaikban különböző szövetek hasonló echogenitásúak lehetnek, valamint hogy egy adott szövet megváltozott struktúrája vagy mechanikai tulajdonsága nem minden esetben jár együtt a szövet hagyományos ultrahangképének megváltozásával. Az elmúlt évtizedben a deformációs és a nyírási ultrahang-elasztográfia vált széles körben elérhetővé. Ezen új képalkotási technika egyre nagyobb szerepet tölt be a szülészeti-nőgyógyászati ultrahang-diagnosztikában is. A nőgyógyászatban szerephez juthat az endometriosis és az adenomyosis kimutatásában, valamint a benignus és a malignus cervicalis és ovarialis képletek elkülönítésében. A nőgyógyászathoz hasonlóan a szülészetben is jelentős változást hozhat az ultrahang-elasztográfia: alkalmas lehet a szülésindukció sikerességének, a koraszülés bekövetkezésének és a praeeclampsia kialakulásának előrejelzésére. Orv Hetil. 2021; 162(18): 690–695. Summary. Ultrasound elastography has received significant attention for the assessment and measurement of soft tissue elastic properties in recent years. The advantage of ultrasound elastography lies in the fact that two different tissues can share similar echogenicities but may have other mechanical properties or, on the contrary, mechanical abnormalities of a designated tissue do not necessarily go hand in hand with an altered appearance on a conventional ultrasound image. In the last decade, strain and shear-wave elasticity imaging methods have become the most widely available among commercial ultrasound equipments. The importance of this new method expands rapidly also in the field of obstetrics and gynecology. Ultrasound elastography has a promising role in the diagnosis of endometriosis and adenomyosis and helps to differentiate benign and malignant cervical and ovarian lesions. The use in the prediction of the outcome of labor induction and preterm birth, and in the evaluation of preeclampsia are emerging. Orv Hetil. 2021; 162(18): 690–695.

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