BioPARR

BioPARR predicts the rupture potential index (RPI) for abdominal aortic aneurysms (AAA) using finite element–based biomechanical analysis to assess aneurysm stability and rupture risk.

Key Features:

• Rupture Potential Index estimation: Computes a rupture potential index (RPI) for abdominal aortic aneurysms to quantify rupture risk.
• Finite Element Analysis (FEA): Uses finite element analysis for detailed biomechanical assessment of aneurysm wall stress and stability.
• Semi-automatic segmentation: Incorporates semi-automatic segmentation of the AAA and intraluminal thrombus (ILT) from medical images as an input step.
• Automated processing pipeline: Automates the majority of analytical processes to enable batch processing of cases.
• Simulation of modeling scenarios: Supports simulation of different modeling scenarios, including analyses with and without thrombus.
• No patient-specific material properties required: Performs analyses without requiring patient-specific tissue material property measurements.
• Multi-modal image compatibility: Processes CT and MRI image data for model construction and analysis.
• Modular and expandable architecture: Provides a modular design that supports integration of additional computational methods and components.
• Standardized comparative evaluation: Produces standardized outputs that enable comparative evaluations across cases and cohorts.

Scientific Applications:

• Biomechanical rupture risk assessment: Quantifies biomechanical factors contributing to AAA rupture risk using FEA-derived metrics.
• Comparative cohort studies: Enables standardized comparison of aneurysm mechanics across patient cohorts and imaging datasets.
• Predictive model development: Supports development and validation of predictive models for surgical decision-making and patient management.
• Large-scale AAA studies: Facilitates analysis of large CT or MRI datasets for population-level investigations of AAA biomechanics.

Methodology:

Semi-automatic segmentation of AAA and ILT from CT or MRI images followed by finite element analysis-based biomechanical modeling and simulation (including with/without thrombus) to compute the rupture potential index, implemented in an automated computational pipeline and without requiring patient-specific material properties.