Non-connected versus interconnected macroporosity in poly(2-hydroxyethyl methacrylate) polymers. An X-ray microtomographic and histomorphometric study

Filmon, R.; Retailleau-Gaborit, Nadine; Grizon, F.; Galloyer, M.; Cincu, Corneliu; Basle, Michel‐Félix; Chappard, Daniel

doi:10.1163/156856202320813828

Cited by 28 publications

(15 citation statements)

References 41 publications

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“…The quantitative aspects of mCT for the characterization of scaffold architecture make it a useful tool to compare scaffold production techniques [24,36,37], and to assess the effects of production parameters. It was used by Lin et al [24] to quantify micro-architectural parameters as a function of porogen concentration.…”

Section: Quantification Of Scaffold Architecturementioning

confidence: 99%

Nondestructive micro-computed tomography for biological imaging and quantification of scaffold–bone interaction in vivo

et al. 2007

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Section: Quantification Of Scaffold Architecturementioning

confidence: 99%

Nondestructive micro-computed tomography for biological imaging and quantification of scaffold–bone interaction in vivo

et al. 2007

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“…6,[13][14][15][16] Room lighting, monitor brightness, contrast settings, operator fatigue, randomness in pore-solid distribution, limited gray-scale shade perception, and other factors affect the reliability of visual thresholding. 17 Lin et al 6 imaged poly (l-lactide-codl-lactide) scaffolds created with five different porogen concentrations.…”

Section: Thresholding Ct Images Of Scaffolds: Status Quomentioning

confidence: 99%

Optimal segmentation of microcomputed tomographic images of porous tissue‐engineering scaffolds

Rajagopalan

Yaszemski

et al. 2005

J Biomedical Materials Res

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The morphometric properties of the porous tissue-engineering scaffolds play a dominant role in the initial cell attachment and subsequent tissue regeneration. These properties can be derived nondestructively with the use of quantitative analysis of high-resolution microcomputed tomography (microCT) imaging of scaffolds. Accurate segmentation of these acquired images into solid and porous subspaces is critical to the integrity of morphometric analysis. The absence of a single image-processing technique to provide such accurate separability immune to all the intricacies of the acquired data makes this seemingly simple task significantly error prone. Consequently, an optimal segmentation has to be selected by ranking the segmentations produced by a multiplicity of methods. This article proposes a robust, easy-to-implement, unambiguous, signal-processing-based, ground-truth-free, segmentation rating metric that correlates with visual acuity. With the use of this metric it is possible, for the first time, to threshold the data with a wide range of techniques and select automatically the technique that best delineates the acquired image. The proposed solution has been extensively tested on microCT images of scaffolds fabricated with biodegradable poly (propylene fumarate) (PPF) with the use of a solvent casting particulate leaching process. The approaches proposed and the results obtained may have profound implications for accurate image-based characterization of tissue-engineering scaffolds.

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“…X‐ray microcomputed tomography (micro‐CT, or μCT) has been used previously in medical applications to demonstrate 3D bone microstructure,5–7 to evaluate microvascular architecture,8, 9 and to demonstrate porous architecture in biomaterials 10–13. The advantages of μCT include its nondestructive, 3D image acquisition of opaque samples at microscopic resolution.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of interconnectivity of porous biodegradable scaffolds with micro‐computed tomography

Moore

Jabbari

Ritman

et al. 2004

J Biomedical Materials Res

153

123

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Pore interconnectivity within scaffolds is an important parameter influencing cell migration and tissue ingrowth needed to promote tissue regeneration. Methods for assessment of interconnectivity are usually qualitative, restricted to two-dimensional images, or are destructive. Microcomputed tomography nondestructively provides three-dimensional (3D) images of intact specimens at high spatial resolutions. We describe an image analysis technique for quantitative assessment of scaffold interconnectivity. Scaffolds were made via a particulate leaching process with 75%, 80%, 85%, and 88% volumetric porogen fractions. Specimens were scanned and resulting 3D, digital images were analyzed with a custom algorithm. A series of virtual, idealized scaffolds were also created for illustration of the algorithm's analysis approach and for its validation. The program calculated accessible void fractions over a range of minimum connection sizes. In real specimens, nearly 100% of the porous volume was connected with outside air for connections greater than or equal to 20 microm in their smallest dimension. In scaffolds made with 75% porogen, the accessible void fraction decreased to 78% if only those connections greater than or equal to 260 microm were considered. The relationship between accessible void fraction and connection size varied as a function of porogen content. The interconnectivity parameter described here may have implications for cell migration and tissue growth into scaffolds.

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Non-connected versus interconnected macroporosity in poly(2-hydroxyethyl methacrylate) polymers. An X-ray microtomographic and histomorphometric study

Cited by 28 publications

References 41 publications

Nondestructive micro-computed tomography for biological imaging and quantification of scaffold–bone interaction in vivo

Nondestructive micro-computed tomography for biological imaging and quantification of scaffold–bone interaction in vivo

Optimal segmentation of microcomputed tomographic images of porous tissue‐engineering scaffolds

Quantitative analysis of interconnectivity of porous biodegradable scaffolds with micro‐computed tomography

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