Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture.
Ye WuXiaoming LiuXinyuan ZhangKhoi Minh HuynhSahar AhmadPew-Thian YapPublished in: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (2023)
Brain tissue microarchitecture is characterized by heterogeneous degrees of diffusivity and rates of transverse relaxation. Unlike standard diffusion MRI with a single echo time (TE), which provides information primarily on diffusivity, relaxation-diffusion MRI involves multiple TEs and multiple diffusion-weighting strengths for probing tissue-specific coupling between relaxation and diffusivity. Here, we introduce a relaxation-diffusion model that characterizes tissue apparent relaxation coefficients for a spectrum of diffusion length scales and at the same time factors out the effects of intra-voxel orientation heterogeneity. We examined the model with an in vivo dataset, acquired using a clinical scanner, involving different health conditions. Experimental results indicate that our model caters to heterogeneous tissue microstructure and can distinguish fiber bundles with similar diffusivities but different relaxation rates. Code with sample data is available at https://github.com/dryewu/RDSI.
Keyphrases
- single molecule
- magnetic resonance imaging
- diffusion weighted imaging
- contrast enhanced
- public health
- mental health
- high resolution
- computed tomography
- machine learning
- multiple sclerosis
- health information
- electronic health record
- climate change
- big data
- social media
- room temperature
- mass spectrometry
- functional connectivity
- deep learning
- blood brain barrier
- photodynamic therapy