A customizable MR brain imaging atlas of structure and function for decision support

Area of Science:

• Neuroimaging
• Medical Informatics

Background:

• Magnetic Resonance (MR) imaging is crucial for brain structure and function assessment.
• Interpreting complex MR data, including diffusion-weighted images, requires robust reference standards and decision support tools.

Purpose of the Study:

• To develop and present a novel, customizable MR brain atlas for neuroimaging analysis.
• To integrate normative values of MR parameters (T1, T2, ADC) for quantitative assessment.
• To enhance diagnostic interpretation through context-sensitive decision support within the radiology workflow.

Main Methods:

• Development of a customizable MR brain atlas adaptable to patient image contrast and orientation.
• Inclusion of normative MR parameter values (T1, T2, ADC).
• Integration of expert-curated 'Image Finding Descriptors' for diagnostic cues.
• Architectural design for seamless integration into existing radiology image analysis workflows.

Main Results:

• The atlas provides customizable visualization of brain structure and function from diffusion-weighted images.
• Normative MR parameter values (T1, T2, ADC) are available for comparison.
• The system offers context-sensitive decision support during primary image interpretation.
• Integration into departmental workflows facilitates real-time diagnostic assistance.

Conclusions:

• The presented MR brain atlas significantly aids in the interpretation of brain MR images.
• Its customizable nature and integrated normative data improve diagnostic accuracy and efficiency.
• The atlas represents a valuable tool for neuroimaging research and clinical practice, supporting primary diagnosis.