Shape modification of the Boston brace using a finite-element method with topology optimization

Yi Ching Liao, Chi Kuang Feng, Mei Wun Tsai, Chen Sheng Chen*, Cheng Kung Cheng, Yu Chih Ou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

STUDY DESIGN. Using a finite-element (FE) method to reshape the Boston brace, and evaluating the correction effect of the modified Boston brace in terms of Cobb angle. OBJECTIVE. This study aimed to reduce the weight of the Boston brace using a FE method with topology optimization. SUMMARY OF BACKGROUND DATA. The Boston brace is widely used to correct an abnormal spinal curve in adolescent idiopathic scoliosis. However, patients wearing the brace usually complain about discomfort caused by its bulkiness. METHODS. An FE model of a traditional Boston brace was constructed using the software ANSYS 9.0. The loading condition was taken from an X-sensor measuring contact pressures between torso and brace. Topology optimization was conducted to modify the Boston brace. Three patients wearing a traditional brace and then the modified brace were examined in terms of Cobb angle. RESULTS. For the patient with King Type III scoliosis, this modified brace was able to offer the same correction effect as the traditional brace, but the modified brace was lighter by about 12.4%, with the potential to be up to 18% lighter. CONCLUSION. Based on the traditional Boston brace, this FE model, combined with topology optimization, can effectively estimate redundant material distribution and accordingly custom-design a lighter brace without any loss of its corrective effect.

Original languageEnglish
Pages (from-to)3014-3019
Number of pages6
JournalSpine
Volume32
Issue number26
DOIs
StatePublished - Dec 2007

Keywords

  • Boston brace
  • Finite-element method
  • Scoliosis
  • Topology optimization

Fingerprint

Dive into the research topics of 'Shape modification of the Boston brace using a finite-element method with topology optimization'. Together they form a unique fingerprint.

Cite this