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Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients
Aaron Carass1,2, Muhan Shao1, Xiang Li1
1Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
Summary
Accurate brain ventricle segmentation is crucial for diagnosing normal pressure hydrocephalus (NPH), a treatable dementia. This study introduces an improved method for precise ventricle segmentation, outperforming existing techniques in NPH patients.
Area of Science:
- Neuroimaging
- Medical image analysis
- Neurology
Background:
- Ventriculomegaly is linked to various brain disorders, including normal pressure hydrocephalus (NPH).
- NPH symptoms mimic Alzheimer's disease, leading to misdiagnosis.
- Surgical intervention offers high success rates for NPH, necessitating accurate diagnosis.
Purpose of the Study:
- To develop an improved whole brain segmentation approach for accurate ventricle identification and sub-compartment parcellation.
- To address limitations of existing algorithms in segmenting ventricles in patients with extreme pathology.
Main Methods:
- Combined patch-based tissue segmentation and multi-atlas registration-based labeling.
- Developed an improved whole brain segmentation algorithm.
Main Results:
- The proposed method accurately identifies ventricles and divides them into four sub-compartments.
- Demonstrated superior performance compared to state-of-the-art methods in a validation study on NPH patients.
Conclusions:
- The enhanced segmentation approach provides accurate identification of brain ventricles, particularly in NPH cases.
- This method holds potential for improving the diagnosis and treatment selection for NPH.
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