4 papers
Automated Registration of 3D Neurovascular Territory Atlas to 2D DSA for Targeted Quantitative Angiography Analysis
George Dimopoulos, Sabrina De Los Angeles Reverol Parra, Parmita Mondal +8
Subarachnoid hemorrhage (SAH), typically due to intracranial aneurysms, demands precise imaging for effective treatment. Digital Subtraction Angiography (DSA), despite being the go…
Exploring Methods for Integrating and Augmenting Multimodal Data to Improve Prognostic Accuracy in Imbalanced Datasets for Intraoperative Aneurysm Occlusion
Parisa Naghdi, Mohammad Mahdi Shiraz Bhurwani, Ahmad Rahmatpour +5
This study evaluates a multimodal machine learning framework for predicting treatment outcomes in intracranial aneurysms (IAs). Combining angiographic parametric imaging (API), pat…
Leveraging Convolutional Neural Networks for 3D Quantitative Angiography Reconstructions from Sparse Cone Beam CT Projections Utilizing CFD Data
Ahmad Rahmatpour, Allison Shields, Parmita Mondal +6
This study leverages convolutional neural networks to enhance the temporal resolution of 3D angiography in intracranial aneurysms focusing on the reconstruction of volumetric contr…
Intra-operative Optimal Flow Diverter Selection for Intracranial aneurysm treatment
Parmita Mondal, Mohammed Mahdi Shiraz Bhurwani, Kyle A Williams +1
During intracranial aneurysm (IA) treatment with Diverters (FDs), the device/parent artery diameters ratio may influence the ability of the device to induce aneurysm healing respon…