Structured white light scanning of rabbit Achilles tendon

Hayes, Alex; Easton, Katrina L.; Devanaboyina, Pavan Teja; Wu, Jianping; Kirk, T.B.; Lloyd, David G.

doi:10.1016/j.jbiomech.2016.09.042

Cited by 7 publications

(6 citation statements)

References 34 publications

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“…The application of talc coating to tendon fascicle bundles did not increase the quality of the obtained 3D models; thus, it may be omitted. Our observations regarding the sample coating were in line with the results from a previous study [17]. The repeatability of measurements was high, giving coefficients of variation of less than 4% for both coated and uncoated tendons.…”

Section: Tissue Samples: Comparison Between the Vision-based Methods Asupporting

confidence: 91%

“…Furthermore, the 3D scanning system that we developed allowed non-contact detection of sample concavities due to the use of a laser profile sensor. The accuracy of the blue light profile sensor used in this study was equal to ±2 μm, while much more expensive structured light scanners, which are capable of capturing concavities [ 17 ], have an accuracy of 0.05 mm, which can be insufficient for the imaging of individual fascicle bundles or fascicles. The 3D scanners based on CCD laser displacement sensors [ 19 , 20 ] take into account sample concavities as well, but have an accuracy that is two-fold lower than our blue light sensor.…”

Section: Resultsmentioning

confidence: 99%

“…However, this device cannot detect surface concavities as well as a laser scanning device. Other measurement techniques use the structured white light [17,18] or charge-coupled device (CCD) laser displacement sensors [19][20][21][22] in the determination of tissue morphological properties. These methods are characterized by good repeatability and can capture the entire geometry of the sample.…”

Section: Introductionmentioning

confidence: 99%

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A 3D Scanning System for Inverse Analysis of Moist Biological Samples: Design and Validation Using Tendon Fascicle Bundles

Dąbrowska

Ekiert

Wójcik

et al. 2020

Sensors

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In this article, we present the design and validation of a non-contact scanning system for the development of a three-dimensional (3D) model of moist biological samples. Due to the irregular shapes and low stiffness of soft tissue samples, the use of a non-contact, reliable geometry scanning system with good accuracy and repeatability is required. We propose a reliable 3D scanning system consisting of a blue light profile sensor, stationary and rotating frames with stepper motors, gears and a five-phase stepping motor unit, single-axis robot, control system, and replaceable sample grips, which once mounted onto the sample, are used for both scanning and mechanical tests. The proposed system was validated by comparison of the cross-sectional areas calculated based on 3D models, digital caliper, and vision-based methods. Validation was done on regularly-shaped samples, a wooden twig, as well as tendon fascicle bundles. The 3D profiles were used for the development of the 3D computational model of the sample, including surface concavities. Our system allowed for 3D model development of samples with a relative error of less than 1.2% and high repeatability in approximately three minutes. This was crucial for the extraction of the mechanical properties and subsequent inverse analysis, enabling the calibration of complex material models.

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Section: Tissue Samples: Comparison Between the Vision-based Methods Asupporting

confidence: 91%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A 3D Scanning System for Inverse Analysis of Moist Biological Samples: Design and Validation Using Tendon Fascicle Bundles

Dąbrowska

Ekiert

Wójcik

et al. 2020

Sensors

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“…Limited to external and ex vivo tissuesPhotogrammetry[143]• High accuracy• Repeatable• Reliable• Non-contact• Three-dimensional• Photorealistic reconstruction• Affected by concavities• Unable to visualise internal structuresClinically useful for 3D surface measurements. Limited to external and ex vivo tissuesStructured white light (SWL)[144–146]• Fast• High accuracy• Repeatable• Reliable• Non-contact• Three-dimensional• Photorealistic reconstruction• Affected by small concavities• Unable to visualise internal structuresClinically useful for 3D surface measurements. Limited to external and ex vivo tissuesDigital image correlation (DIC)[147–155]• Fast• High accuracy• Repeatable• Reliable• Non-contact• Three-dimensional• Requires sample preparation• Affected by small concavities• Unable to visualise internal structuresClinically useful for 3D surface and strain measurements.…”

Section: In Vivo Measurement Techniquesmentioning

confidence: 99%

“…Hayes et al [146] reported a technique, using SLS, to measure CSA of biological tissue. The technique was shown to be fast, simple, and accurate, with minimal sample preparation.…”

Section: Ex Vivo Measurement Techniquesmentioning

confidence: 99%

A review of methods to measure tendon dimensions

Hayes

Easton²,

Devanaboyina

et al. 2019

J Orthop Surg Res

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Tendons are soft tissues of the musculoskeletal system that are designed to facilitate joint movement. Tendons exhibit a wide range of mechanical properties matched to their functions and, as a result, have been of interest to researchers for many decades. Dimensions are an important aspect of tendon properties.Change in the dimensions of tissues is often seen as a sign of injury and degeneration, as it may suggest inflammation or general disorder of the tissue. Dimensions are also important for determining the mechanical properties and behaviours of materials, particularly the stress, strain, and elastic modulus. This makes the dimensions significant in the context of a mechanical study of degenerated tendons. Additionally, tendon dimensions are useful in planning harvesting for tendon transfer and joint reconstruction purposes.Historically, many methods have been used in an attempt to accurately measure the dimensions of soft tissue, since improper measurement can lead to large errors in the calculated properties. These methods can be categorised as destructive (by approximation), contact, and non-contact and can be considered in terms of in vivo and ex vivo.

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From masks to muscles: Mapping facial structure of Nycticebus

Weldon,

Burrows,

Wirdateti

et al. 2024

The Anatomical Record

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Facial musculature in mammals underlies mastication and nonverbal communicative facial displays. Our understanding of primate facial expression comes primarily from haplorrhines (monkeys and apes), while our understanding of strepsirrhine (lemurs and lorises) facial expression remains incomplete. We examined the facial muscles of six specimens from three Nycticebus species (Nycticebus coucang, Nycticebus javanicus, and Nycticebus menagensis) using traditional dissection methodology and novel three‐dimensional facial scanning to produce a detailed facial muscle map, and compared these results to another nocturnal strepsirrhine genus, the greater bushbaby (Otolemur spp.). We observed 19 muscles with no differences among Nycticebus specimens. A total of 17 muscles were observed in both Nycticebus and Otolemur, with little difference in attachment and function but some difference in directionality of movement. In the oral region, we note the presence of the depressor anguli oris, which has been reported in other primate species but is absent in Otolemur. The remaining muscle is a previously undescribed constrictor nasalis muscle located on the lateral nasal alar region, likely responsible for constriction of the nares. We propose this newly described muscle may relate to vomeronasal organ functioning and the importance of the use of nasal musculature in olfactory communication. We discuss how this combined methodology enabled imaging of small complex muscles. We further discuss how the facial anatomy of Nycticebus spp. relates to their unique physiology and behavioral ecology.

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Structured white light scanning of rabbit Achilles tendon

Cited by 7 publications

References 34 publications

A 3D Scanning System for Inverse Analysis of Moist Biological Samples: Design and Validation Using Tendon Fascicle Bundles

A 3D Scanning System for Inverse Analysis of Moist Biological Samples: Design and Validation Using Tendon Fascicle Bundles

A review of methods to measure tendon dimensions

From masks to muscles: Mapping facial structure of Nycticebus

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