Abstract
Background Congenital heart defects affect 8 out of every 1,000 newborns. Although many do not require immediate treatment, most cases will require a surgical or catheter based intervention during their lifetime. Complex cases can involve multiple anomalies. These unique and complex procedures require comprehensive pre-intervention or surgical planning. A state of the art method for creating patient-specific compliant models of heart anatomy from medical image data is investigated. A case study is explored to assess the feasibility of this modeling method. Methods
Highlights
Congenital heart defects affect 8 out of every 1,000 newborns
State of the art: 3D printing for creating compliant patient-specific congenital heart defect models
This case study includes a patient with complx congenital heart disease consistenting of L-Transposition of the Great Arteries, subpulmonic stenosis, ventricular septal defect complicated by straddling tricusipid valve, and hypoplastic right ventricle
Summary
Congenital heart defects affect 8 out of every 1,000 newborns. Many do not require immediate treatment, most cases will require a surgical or catheter based intervention during their lifetime. These unique and complex procedures require comprehensive pre-intervention or surgical planning. A state of the art method for creating patient-specific compliant models of heart anatomy from medical image data is investigated. A case study is explored to assess the feasibility of this modeling method
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