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Conference Paper: Modeling of brain microstructure by Kurtosis Analysis of Neural Diffusion Organization (KANDO)
| Title | Modeling of brain microstructure by Kurtosis Analysis of Neural Diffusion Organization (KANDO) |
|---|---|
| Authors | |
| Issue Date | 2015 |
| Citation | The 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2015), Toronto, ON., 30 May-5 June 2015. How to Cite? |
| Abstract | A tissue modeling framework, referred to as kurtosis analysis of neural diffusion organization (KANDO), is proposed to help provide a biophysical interpretation of the diffusion metrics estimated with diffusional kurtosis imaging (DKI). The framework supports a variety of multiple Gaussian compartment models. The model parameters are determined by minimizing the square of the Frobenius norm of the difference between the model and measured kurtosis tensors. KANDO differs from most other tissue modeling methods for diffusion MRI in that it only utilizes the information contained in the diffusion and kurtosis tensors, which can both be estimated with DKI. |
| Description | Electronic Poster Session: Diffusion - Diffusion: Non Gaussian (2919): computer no. 41 |
| Persistent Identifier | http://hdl.handle.net/10722/209916 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hui, ESK | - |
| dc.contributor.author | Glenn, GR | - |
| dc.contributor.author | Helpern, JA | - |
| dc.contributor.author | Jensen, JH | - |
| dc.date.accessioned | 2015-05-18T03:30:15Z | - |
| dc.date.available | 2015-05-18T03:30:15Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.citation | The 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2015), Toronto, ON., 30 May-5 June 2015. | - |
| dc.identifier.uri | http://hdl.handle.net/10722/209916 | - |
| dc.description | Electronic Poster Session: Diffusion - Diffusion: Non Gaussian (2919): computer no. 41 | - |
| dc.description.abstract | A tissue modeling framework, referred to as kurtosis analysis of neural diffusion organization (KANDO), is proposed to help provide a biophysical interpretation of the diffusion metrics estimated with diffusional kurtosis imaging (DKI). The framework supports a variety of multiple Gaussian compartment models. The model parameters are determined by minimizing the square of the Frobenius norm of the difference between the model and measured kurtosis tensors. KANDO differs from most other tissue modeling methods for diffusion MRI in that it only utilizes the information contained in the diffusion and kurtosis tensors, which can both be estimated with DKI. | - |
| dc.language | eng | - |
| dc.relation.ispartof | ISMRM 23rd Annual Meeting | - |
| dc.title | Modeling of brain microstructure by Kurtosis Analysis of Neural Diffusion Organization (KANDO) | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Hui, ESK: edshui@hku.hk | - |
| dc.identifier.authority | Hui, ESK=rp01832 | - |
| dc.identifier.hkuros | 243277 | - |