Authors: Frank Chen, Arvin Nguyen

Abstract: Visualization of blood flow is essential for the diagno- sis and treatment evaluation of cerebrovascular diseases. Perfusion angiography is a methodological framework for the quantitative analysis and visualization of blood flow parameters from DSA images. However, animated flow visualization in angiography remains to be an unexplored field. In this work, we propose our method to visualize angiography using dynamic vector fields gen- erated from a variant of the breadth-first search (BFS) algorithm. In the future, we also plan to release a web- based application that abstracts the implementation and provides a simplistic interface for researchers to drag and drop angiography files to be visualized.

Papers/Final Project

We present our class literature review, our final project paper, and one example of our blood flow vector field rendeirng.

Class Literature Review

Final Project Paper

Blood Flow Vector Field Rendering

Sample Papers Analysis:

Perfusion Angiography in Acute Ischemic Stroke

Efficient blood flow visualization using flowline extraction and opacity modulation based on vascular structure analysis.

More Sample Papers:

Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms

Understanding Angiography-Based Aneurysm Flow Fields through Comparison with Computational Fluid Dynamics

Quantitative analysis of digital subtraction angiography using optical flow method on occlusive cerebrovascular disease

A hitchhiker's guide to diffusion tensor imaging

Diffusion Tensor Imaging: Concepts and Applications

Prediction of individual subject's age across the human lifespan using diffusion tensor imaging: A machine learning approach

Comparison of 2D and 3D Digital Subtraction Angiography in Evaluation of Intracranial Aneurysms

Quantitative Assessment of Abdominal Aortic Aneurysm Geometry

Links

Useful Tools

Skeletonization

Vesselness Filter

RANSAC Algorithm