• Title/Summary/Keyword: reconstruction

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Forecasting the flap: predictors for pediatric lower extremity trauma reconstruction

  • Fallah, Kasra N.;Konty, Logan A.;Anderson, Brady J.;Cepeda, Alfredo Jr.;Lamaris, Grigorios A.;Nguyen, Phuong D.;Greives, Matthew R.
    • Archives of Plastic Surgery
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    • v.49 no.1
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    • pp.91-98
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    • 2022
  • Background Predicting the need for post-traumatic reconstruction of lower extremity injuries remains a challenge. Due to the larger volume of cases in adults than in children, the majority of the medical literature has focused on adult lower extremity reconstruction. This study evaluates predictive risk factors associated with the need for free flap reconstruction in pediatric patients following lower extremity trauma. Methods An IRB-approved retrospective chart analysis over a 5-year period (January 1, 2012 to December 31, 2017) was performed, including all pediatric patients (<18 years old) diagnosed with one or more lower extremity wounds. Patient demographics, trauma information, and operative information were reviewed. The statistical analysis consisted of univariate and multivariate regression models to identify predictor variables associated with free flap reconstruction. Results In total, 1,821 patients were identified who fit our search criteria, of whom 41 patients (2.25%) required free flap reconstruction, 65 patients (3.57%) required local flap reconstruction, and 19 patients (1.04%) required skin graft reconstruction. We determined that older age (odds ratio [OR], 1.134; P =0.002), all-terrain vehicle accidents (OR, 6.698; P<0.001), and trauma team activation (OR, 2.443; P=0.034) were associated with the need for free flap reconstruction following lower extremity trauma in our pediatric population. Conclusions Our study demonstrates a higher likelihood of free flap reconstruction in older pediatric patients, those involved in all-terrain vehicle accidents, and cases involving activation of the trauma team. This information can be implemented to help develop an early risk calculator that defines the need for complex lower extremity reconstruction in the pediatric population.

Solid Reconstruction from a Set of the Orthogonal Three Views (삼면도로부터 솔리드의 자동생성에 관한 연구)

  • 박시형;이성수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.683-686
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    • 1995
  • The automatic solid reconstruction is one of the important problems in CAD. Nowadays solid reconstruction has been done many areas, we will proposed this algorithm contribute to that development. this paper presents the algorithm to automatically reconstruct the soild form a set of the orthogonalal three views.

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3-D Reconstruction of Buildings using 3-D Line Grouping for Urban Modeling

  • Jung, Young-Kee
    • Journal of information and communication convergence engineering
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    • v.7 no.1
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    • pp.1-6
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    • 2009
  • In order to obtain a 3-D urban model, an abstraction of the surface model is required. This paper describes works on the 3D reconstruction and modeling by the grouping 3D line segments extracted from the stereo matching of edges, which is derived from multiple images. The grouping is achieved by conditions of degrees and distances between lines. Building objects are determined by the junction combinations of the grouped line segments. The proposed algorithm demonstrates effective results of 3D reconstruction of buildings with 2D aerial images.

Fast Elliptic Object Reconstruction from Projections by Support Estimation (서포트 추정을 이용한 빠른 이미지 사영 기반 타원형 물체 복원 기법)

  • Ko, Kyeong-Jun;Lee, Jung-Woo
    • Proceedings of the KIEE Conference
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    • 2007.10a
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    • pp.105-106
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    • 2007
  • We present a fast reconstruction technique for elliptic objects, which can be applied to real-time computer tomography (CT) for simple geometric objects. It will be also shown that only 3 projections are needed to reconstruct an ellipse. A piecewise quadratic model is also proposed for more efficient Kalman filter based support estimation, which is used for the fast reconstruction technique. The performance of the piecewise quadratic model is compared with that of the existing piecewise linear model. Simulation results for the fast reconstruction are also presented.

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A Locally Linear Reconstruction scheme on arbitrary unstructured meshes (임의의 비정렬 격자계에서의 국지적 선형 재구성 기법)

  • Lee K. S.;Baek J. H.
    • 한국전산유체공학회:학술대회논문집
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    • 2003.08a
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    • pp.31-36
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    • 2003
  • A field reconstruction scheme for a cell centered finite volume method on unstructured meshes is developed. Regardless of mesh quality, this method is exact within a machine accuracy if the solution is linear, which means it has full second order accuracy. It does not have any limitation on cell shape except convexity of the cells and recovers standard discretization stencils at structured orthogonal grids. Accuracy comparisons with other popular reconstruction schemes are performed on a simple example.

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3D Building Reconstructions for Urban Modeling using Line Junction Features

  • Lee, Kyu-Won
    • Journal of information and communication convergence engineering
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    • v.5 no.1
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    • pp.78-82
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    • 2007
  • This paper propose a building reconstruction method of urban area for a 3D GIS with stereo images. The 3D reconstruction is performed by the grouping 3D line segments extracted from the stereo matching of salient edges which are derived from multiple images. The grouping is achieved by conditions of degrees and distances between lines. Building objects are determined by the junction combinations of the grouped line segments. The proposed algorithm demonstrates effective results of 3D reconstruction of buildings with 2D aerial images.

Light-Microscopy-Based Sparse Neural Circuit Reconstruction: Array Tomography and Other Methods

  • Rah, Jong-Cheol
    • Applied Microscopy
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    • v.46 no.4
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    • pp.176-178
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    • 2016
  • Efficient neural circuit reconstruction requires sufficient lateral and axial resolution to resolve individual synapses and map a large enough volume of brain tissue to reveal the molecular identity and origin of these synapses. Sparse circuit reconstruction using array tomography meets many of these requirements but also has some limitations. In this minireview, the advantages and disadvantages of applicable imaging techniques will be discussed.