Finite element analysis of the human thorax

Sundaram, Sivapatha; Feng, Chao

doi:10.1016/0021-9290(77)90104-x

Cited by 56 publications

(23 citation statements)

References 8 publications

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“…In order to analyze the mechanics of blunt chest trauma, several finite element models of the human thorax have been introduced (Amtmann, 1979;Andriacchi et al, 1974;Roberts and Chen, 1970;Sundaram and Feng, 1977). The mechanical properties of ribs are well known (Cormier et al, 2005;Schultz et al, 1974a, b;Stein and Granik, 1976;Yoganandan and Pintar, 1998).…”

Section: Article In Pressmentioning

confidence: 99%

Geometry of human ribs pertinent to orthopedic chest-wall reconstruction

Mohr¹,

Abrams²,

Engel³

et al. 2007

Journal of Biomechanics

109

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Section: Article In Pressmentioning

confidence: 99%

Geometry of human ribs pertinent to orthopedic chest-wall reconstruction

Mohr¹,

Abrams²,

Engel³

et al. 2007

Journal of Biomechanics

109

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“…One possible way to achieve such refinement would be to implement a finite-element model (FEM) of the chest and upper abdomen. FEM analysis of this region has been performed by others [28]- [30]. We propose that such modeling be based on CT slices acquired with SPECT/CT (and PET/CT).…”

Section: Discussionmentioning

confidence: 99%

Body Deformation Correction for SPECT Imaging

McNamara

Mitra

et al. 2010

IEEE Trans. Nucl. Sci.

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Patient motion degrades the quality of SPECT studies. Body bend and twist are types of patient deformation, which may occur during SPECT imaging, and which has been generally ignored in SPECT motion correction strategies. To correct for these types of motion, we propose a deformation model and its inclusion within an iterative reconstruction algorithm. Two experiments were conducted to investigate the applicability of our model. In the first experiment, the return of the postmotion-compensation locations of markers on the body-surface of a volunteer to approximate their original coordinates is used to examine our method of estimating the parameters of our model and the parameters' use in undoing deformation. The second experiment employed simulated projections of the MCAT phantom formed using an analytical projector which includes attenuation and distance-dependent resolution to investigate applications of our model in reconstruction. We demonstrate in the simulation studies that twist and bend can significantly degrade SPECT image quality visually. Our correction strategy is shown to be able to greatly diminish the degradation seen in the slices, provided the parameters are estimated accurately. We view this work as a first step towards being able to estimate and correct patient deformation based on information obtained from marker tracking data.

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“…2 Volumic elements were used to represent the abdominal wall and cavity (Figure 2), as suggested by Sundaram and Feng. 16 The torso was approximated as a cylinder shape that followed the sagittal spinal curve. The nodes from the 10th ribs were used to define the cylinder outline.…”

Section: Methodsmentioning

confidence: 99%