Cerebral Edema Detection Daily Updates

2 minute read

Published: August 22, 2022

2022 August 30

Completed CITI and HIPAA Certifications
Working on https://johnmuschelli.com/process_head_ct/example/# with lung images
ichseg package is not working for stripping. Trying to find an alternative around that.
Could not find any brain CT images dataset which is in DICOM format

Explored datasets.
Explored DICOM and NIFTI images.
Schedule a call with Mehak to learn more about the dicom to nifti conversion.
Following the article : https://johnmuschelli.com/process_head_ct/example/#
Do not have access to the TCIA file, therefore looking for some other brain CT image datasets.
Explored Nibabel
Next steps : Finding brain CT images.

Did the literature survey on the following :
- Automated medical image segmentation techniques
- Application of Machine Learning to Automated Analysis of Cerebral Edema in Large Cohorts of Ischemic Stroke Patients
- Quantitative Serial CT Imaging-Derived Features Improve Prediction of Malignant Cerebral Edema after Ischemic Stroke
- Enhanced Detection of Edema in Malignant Anterior Circulation Stroke (EDEMA) Score A Risk Prediction Tool
Thought around ways to achieve segmentation
Prepared slides for presentation
Documented the details here : https://ashwinpathak20.github.io/cerebralEdemaDetection/2022/08/blog-post-1
Need to explore the dataset to propose the approaches.
Next steps :
- Test the ways on publicly available datasets.

Did the literature survey on the following :
- Medical Image Segmentation: A Review
- Intensity population based unsupervised hemorrhage segmentation from brain CT images
- Multi-view fusion segmentation for brain glioma on CT images
- Accelerating Prediction of Malignant Cerebral Edema After Ischemic Stroke with Automated Image Analysis and Explainable Neural Networks
Documented the details here : https://ashwinpathak20.github.io/cerebralEdemaDetection/2022/08/blog-post-1
Need to explore the dataset to propose the approaches.
Next steps :
- Read the previous citations for the edema after ischemic stroke papers.
- Figure out detection target for CT images.

Did the literature survey on the following :
- CT Head Interpretation
- Intracranial Hemorrhage Detection by 3D Voxel Segmentation on Brain CT Images
- Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images
- Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study
Documented the details here : https://ashwinpathak20.github.io/cerebralEdemaDetection/2022/08/blog-post-1
Need to explore the dataset to propose the approaches.