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A CAD System for Hemorrhagic Stroke
Wieslaw L Nowinski1, Guoyu Qian2, Daniel F Hanley3
1Biomedical Imaging Laboratory, Agency for Science Technology and Research; Singapore, Singapore - wieslaw@sbic.a-star.edu.sg.
Insights
A new computer-aided detection (CAD) system for hemorrhagic stroke accurately segments and quantifies brain hematomas. This tool aids in monitoring treatment progression and quantifying clot removal during clinical trials.
Area of Science:
- Medical Imaging
- Neurology
- Computer Science
Background:
- Computer-aided detection/diagnosis (CAD) systems are crucial in clinical practice for medical image analysis.
- A clinically accepted CAD system for stroke detection and management is currently lacking.
- Hemorrhagic stroke presents unique challenges in diagnosis and treatment monitoring.
Purpose of the Study:
- To introduce a novel CAD system specifically designed for hemorrhagic stroke.
- To enable accurate segmentation, quantification, and visualization of hematomas.
- To support treatment monitoring and efficacy assessment in clinical trials.
Main Methods:
- Development of a CAD system with a seven-step workflow for patient scan processing.
- Implementation of a system architecture comprising library, tools, user interface, and segmentation algorithm.
- Utilizing tools for contour editing, 3D modeling, volume measurement, and time-series analysis.
Main Results:
- The CAD system successfully segments, quantifies, and displays hematoma in 2D/3D.
- It facilitates monitoring of hemorrhage progression and clot removal quantification.
- The system was implemented in C++ and utilized in phase-III clinical trials (CLEAR, MISTIE).
Conclusions:
- The developed stroke CAD system offers potential for research and clinical applications.
- It provides valuable decision support for managing hemorrhagic stroke.
- The system is particularly relevant for enhancing clinical trial efficiency and data analysis.
Abstract:
Computer-aided detection/diagnosis (CAD) is a key component of routine clinical practice, increasingly used for detection, interpretation, quantification and decision support. Despite a critical need, there is no clinically accepted CAD system for stroke yet. Here we introduce a CAD system for hemorrhagic stroke. This CAD system segments, quantifies, and displays hematoma in 2D/3D, and supports evacuation of hemorrhage by thrombolytic treatment monitoring progression and quantifying clot removal. It supports seven-step workflow: select patient, add a new study, process patient's scans, show segmentation results, plot hematoma volumes, show 3D synchronized time series hematomas, and generate report. The system architecture contains four components: library, tools, application with user interface, and hematoma segmentation algorithm. The tools include a contour editor, 3D surface modeler, 3D volume measure, histogramming, hematoma volume plot, and 3D synchronized time-series hematoma display. The CAD system has been designed and implemented in C++. It has also been employed in the CLEAR and MISTIE phase-III, multicenter clinical trials. This stroke CAD system is potentially useful in research and clinical applications, particularly for clinical trials.
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