Automated Ventricle Parcellation and Evan’s Ratio Computation in Pre- and Post-Surgical Ventriculomegaly
- Resource Type
- Conference
- Authors
- Wang, Yuli; Feng, Anqi; Xue, Yuan; Zuo, Lianrui; Liu, Yihao; Blitz, Ari M.; Luciano, Mark G.; Carass, Aaron; Prince, Jerry L.
- Source
- 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2023 IEEE 20th International Symposium on. :1-5 Apr, 2023
- Subject
- Bioengineering
Computing and Processing
Photonics and Electrooptics
Signal Processing and Analysis
Image segmentation
Three-dimensional displays
Magnetic resonance imaging
Surgery
Manuals
Biomedical measurement
Time measurement
Normal pressure hydrocephalus
Evan’s ratio
- Language
- ISSN
- 1945-8452
Normal pressure hydrocephalus (NPH) is a brain disorder associated with enlarged ventricles and multiple cognitive and motor symptoms. The degree of ventricular enlargement can be measured using magnetic resonance images (MRIs) and characterized quantitatively using the Evan’s ratio (ER). Automatic computation of ER is desired to avoid the extra time and variations associated with manual measurements on MRI. Because shunt surgery is often used to treat NPH, it is necessary that this process be robust to image artifacts caused by the shunt and related implants. In this paper, we propose a 3D regions-of-interest aware (ROI-aware) network for segmenting the ventricles. The method achieves state-of-the-art performance on both pre-surgery MRIs and post-surgery MRIs with artifacts. Based on our segmentation results, we also describe an automated approach to compute ER from these results. Experimental results on multiple datasets demonstrate the potential of the proposed method to assist clinicians in the diagnosis and management of NPH.