4 citations · 7 across the 10 of their papers we have counts for
10 papers
In-Silico Investigation of 3D Quantitative Angiography for Internal Carotid Aneurysms Using Biplane Imaging and 3D Vascular Geometry Constraints
Kyle A. Williams, Swetadri Vasan Setlur Nagesh, Daniel R. Bednarek +2
Quantitative angiography (QA) in two dimensions has been instrumental in assessing neurovascular contrast flow patterns, aiding disease severity and treatment outcome evaluations.…
Self-Calibrated Epipolar Reconstruction for Assessment of Aneurysms in the Internal Carotid Artery Using In-Silico Biplane Angiograms
Kyle A. Williams, S. V. Setlur Nagesh, Daniel R. Bednarek +2
The treatment of intracranial aneurysms (IA) relies on angiography guidance using biplane views. However, accurate flow estimation and device sizing for treatment are often comprom…
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…
Injection Bias Reduction Techniques in Quantitative Angiography Using Patient-Specific Phantoms of Intracranial Aneurysm
Parmita Mondal, Kyle A Williams, Parisa Naghdi +4
In intracranial aneurysm (IA) treatment, digital subtraction angiography (DSA) monitors device-induced hemodynamic changes. Quantitative angiography (QA) provides more precise asse…
Analysis of Quantitative Angiography using Projection Foreshortening Correction and Injection Bias Removal
Parmita Mondal, Allison Shields, Mohammad Mahdi Shiraz Bhurwani +4
This study aims to mitigate these biases and enhance QA analysis by applying a path-length correction (PLC) correction, followed by singular value decomposition (SVD)-based deconvo…
In-Silico Analysis of Curve Fitting in Angiographic Parametric Imaging in Intracranial Aneurysms
Parmita Mondal, Allison Shields, Mohammad Mahdi Shiraz Bhurwani +2
In Angiographic Parametric Imaging (API), accurate estimation of parameters from Time Density Curves (TDC) is crucial. However, these estimations are often marred by errors arising…
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…
Effect of Singular Value Decomposition Algorithms on Removing Injection Variability in 2D Quantitative Angiography of Intracranial Aneurysms
Parmita Mondal, Swetadri Vasan Setlur Nagesh, Sam Sommers-Thaler +8
Intraoperative 2D quantitative angiography (QA) for intracranial aneurysms (IAs) has accuracy challenges due to the variability of hand injections. Despite the success of singular…