Aneurysm detection

Aneurysm detection detects and characterizes cerebral aneurysms from Digital Subtraction Angiography (DSA) images using the Modified Hough Circle Transform (MHCT) to support risk assessment and treatment planning.

Key Features:

• Modified Hough Circle Transform (MHCT): Applies the MHCT algorithm to detect and characterize circular vascular anomalies in DSA images.
• Detection Accuracy: Demonstrates high efficiency in determining the location, size, and type of cerebral aneurysms for pre-rupture identification.
• Prevention Focus: Enables identification of cerebral aneurysms (CA) to support prevention of subarachnoid hemorrhage (SAH).

Scientific Applications:

• Neurosurgical and radiological diagnostics: Provides early and accurate detection of cerebral aneurysms from DSA to inform clinical decision-making.
• Risk Assessment: Identifies potential weak spots in the Circle of Willis to assess the risk of aneurysm formation.
• Treatment Planning: Supplies accurate aneurysm location, size, and type data to inform interventions such as surgical clipping or endovascular coiling.

Methodology:

Processes DSA images through the MHCT algorithm, including image extraction using high-resolution angiographic images that highlight vascular structures and algorithm application of MHCT to identify circular formations indicative of aneurysms with parameter adjustments to enhance detection accuracy.