Relationships among ultrasonic and mechanical properties of cancellous bone in human calcaneus in vitro

Wear, Keith A.; Nagaraja, Srinidhi; Dreher, Maureen L.; Sadoughi, Saghi; Zhu, Shu; Keaveny, Tony M.

doi:10.1016/j.bone.2017.06.021

Cited by 32 publications

(14 citation statements)

References 78 publications

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“…We presented here its steering capabilities for transcranial focusing. The concept was applied recently to improve the focusing through cancellous bone [66], and could be used to improve cancellous bone characterization using transmission and/or backscatter measurements [67,68].…”

Section: Discussionmentioning

confidence: 99%

Steering Capabilities of an Acoustic Lens for Transcranial Therapy: Numerical and Experimental Studies

Maimbourg

Houdouin

Thomas

et al. 2020

IEEE Trans. Biomed. Eng.

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Brain therapy by transcranial focused ultrasound needs to compensate for the delays locally induced by the skull. The patient-specific phase profile is currently generated by a multi-element array with a growing number of elements. We recently introduced a disruptive approach, consisting in using a single element transducer coupled to an acoustic lens of controlled thickness: by adjusting the local thickness of the lens, we were able to induce a phase difference which compensated that of the skull. Nevertheless, such an approach suffers from an apparent limitation: the lens is a priori designed for one specific target. In this paper, we demonstrate the possibility of taking advantage of the isoplanatic angle of the aberrating skull in order to steer the focus by mechanically moving the transducer/acoustic lens pair around its initial focusing position. This study, conducted on three human skull samples, confirms that tilting of the transducer with the lens restores a single focus at 914 kHz for a steering up to 11mm in the transverse direction, and 10mm in the longitudinal direction, around the initial focal region. Acoustic lens, transcranial ultrasound, therapeutic ultrasound

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Section: Discussionmentioning

confidence: 99%

Steering Capabilities of an Acoustic Lens for Transcranial Therapy: Numerical and Experimental Studies

Maimbourg

Houdouin

Thomas

et al. 2020

IEEE Trans. Biomed. Eng.

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“…Computational models of anatomy or physiology include improved drug delivery in the cornea with ultrasound energy ( 24 ); physiological models of heart cells ( 25 ), renal circulation ( 26 ), hemodynamic responses to blood volume perturbations ( 27 ), left bundle branch block ( 28 ), gas dynamics in the retina ( 29 ), coupled electrical and mechanical activity in the heart ( 30 ); energy absorption in patients with deep-brain stimulators ( 31 – 34 ), breast tissue expanders ( 35 ), in pregnant women and fetus during MRI exams ( 36 ); subthalamic nucleus ( 37 ), the breast ( 38 ), cancellous bone ( 39 ), the head ( 40 ) and whole body models ( 41 , 42 ).…”

Section: Computational Modeling Researchmentioning

confidence: 99%

Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA's Office of Science and Engineering Laboratories

et al. 2018

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Protecting and promoting public health is the mission of the U.S. Food and Drug Administration (FDA). FDA's Center for Devices and Radiological Health (CDRH), which regulates medical devices marketed in the U.S., envisions itself as the world's leader in medical device innovation and regulatory science–the development of new methods, standards, and approaches to assess the safety, efficacy, quality, and performance of medical devices. Traditionally, bench testing, animal studies, and clinical trials have been the main sources of evidence for getting medical devices on the market in the U.S. In recent years, however, computational modeling has become an increasingly powerful tool for evaluating medical devices, complementing bench, animal and clinical methods. Moreover, computational modeling methods are increasingly being used within software platforms, serving as clinical decision support tools, and are being embedded in medical devices. Because of its reach and huge potential, computational modeling has been identified as a priority by CDRH, and indeed by FDA's leadership. Therefore, the Office of Science and Engineering Laboratories (OSEL)—the research arm of CDRH—has committed significant resources to transforming computational modeling from a valuable scientific tool to a valuable regulatory tool, and developing mechanisms to rely more on digital evidence in place of other evidence. This article introduces the role of computational modeling for medical devices, describes OSEL's ongoing research, and overviews how evidence from computational modeling (i.e., digital evidence) has been used in regulatory submissions by industry to CDRH in recent years. It concludes by discussing the potential future role for computational modeling and digital evidence in medical devices.

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“…literature are also listed in Table 1 for the reader to compare the difference of the bovine and human trabecular bone. 8,43,44 Table 2 shows the Pearson correlation coefficients between bone characteristic parameters. Many of the microstructural characteristics are covariant with density-based parameters.…”

Section: Comparison With Photograph and µ-Ct Image Slicementioning

confidence: 99%

“…Ultrasound is a mechanical wave, which could be more sensitive to changes in bone mechanical properties and bone microstructure. 7,8 The ability of ultrasound to characterize bone tissue is based on the fact that ultrasonic waves could be affected by trabecular bone microstructure, composition, and density as they propagate through bone tissues.…”

Section: Introductionmentioning

confidence: 99%

The Ability of Ultrasonic Backscatter Parametric Imaging to Characterize Bovine Trabecular Bone

Liu

et al. 2019

Ultrason Imaging

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The ultrasonic backscatter technique holds the promise of characterizing bone density and microstructure. This paper conducts ultrasonic backscatter parametric imaging based on measurements of apparent integrated backscatter (AIB), spectral centroid shift (SCS), frequency slope of apparent backscatter (FSAB), and frequency intercept of apparent backscatter (FIAB) for representing trabecular bone mass and microstructure. We scanned 33 bovine trabecular bone samples using a 7.5 MHz focused transducer in a 20 mm × 20 mm region of interest (ROI) with a step interval of 0.05 mm. Images based on the ultrasonic backscatter parameters (i.e., AIB, SCS, FSAB, and FIAB) were constructed to compare with photographic images of the specimens as well as two-dimensional (2D) μ-CT images from approximately the same depth and location of the specimen. Similar structures and trabecular alignments can be observed among these images. Statistical analyses demonstrated that the means and standard deviations of the ultrasonic backscatter parameters exhibited significant correlations with bone density (|R| = 0.45-0.78, p < 0.01) and bone microstructure (|R| = 0.44-0.87, p < 0.001). Some bovine trabecular bone microstructure parameters were independently associated with the ultrasonic backscatter parameters (Δ R2 = 4.18%-44.45%, p < 0.05) after adjustment for bone apparent density (BAD). The results show that ultrasonic backscatter parametric imaging can provide a direct view of the trabecular microstructure and can reflect information about the density and microstructure of trabecular bone.

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Relationships among ultrasonic and mechanical properties of cancellous bone in human calcaneus in vitro

Cited by 32 publications

References 78 publications

Steering Capabilities of an Acoustic Lens for Transcranial Therapy: Numerical and Experimental Studies

Steering Capabilities of an Acoustic Lens for Transcranial Therapy: Numerical and Experimental Studies

Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA's Office of Science and Engineering Laboratories

The Ability of Ultrasonic Backscatter Parametric Imaging to Characterize Bovine Trabecular Bone

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