A Method to Estimate Brain Volume from Head CT Images and Application to Detect Brain Atrophy in Alzheimer Disease.
V AdduruS A BaumC ZhangM HelgueraRamin ZandMaya LichtensteinChristoph J GriessenauerA M MichaelPublished in: AJNR. American journal of neuroradiology (2020)
In current clinical practice, brain atrophy is assessed by inaccurate and subjective "eyeballing" of CT images. Manual segmentation of head CT images is prohibitively arduous and time-consuming. CTseg can potentially help clinicians to automatically measure total brain volume and detect and track atrophy in neurodegenerative diseases. In addition, CTseg can be applied to large clinical archives for a variety of research studies.
Keyphrases
- deep learning
- resting state
- convolutional neural network
- white matter
- computed tomography
- image quality
- functional connectivity
- contrast enhanced
- clinical practice
- dual energy
- optical coherence tomography
- cerebral ischemia
- magnetic resonance imaging
- optic nerve
- multiple sclerosis
- depressive symptoms
- machine learning
- physical activity
- blood brain barrier
- case control