 |
OpenWalnut
1.5.0dev
|
|
OpenWalnut
1.5.0dev
|
Computes the RA (Relative Anisotropy) of a given Tensor. More...
#include <WRA.h>
Inheritance diagram for WRA: Collaboration diagram for WRA:Public Member Functions | |
| WRA () | |
| Creates an object to perform the computation. More... | |
| Public Member Functions inherited from WObjectNDIP< WDataSetDTIToScalar_I > | |
| virtual | ~WObjectNDIP () |
| Destructor. More... | |
| virtual std::string | getName () const |
| The name of the object. More... | |
| virtual std::string | getDescription () const |
| The description of this object. More... | |
| virtual const char ** | getIcon () const |
| The icon of this object. More... | |
| virtual WProperties::SPtr | getProperties () |
| Return the property group of this object. More... | |
| Public Member Functions inherited from WDataSetDTIToScalar_I | |
| virtual WDataSetScalar::SPtr | operator() (WProgress::SPtr progress, WBoolFlag const &shutdown, WDataSetDTI::SPtr tensors, WDataSetVector::SPtr evals) |
| This runs the given strategy on the given dataset. More... | |
| virtual | ~WDataSetDTIToScalar_I () |
| Destructor. More... | |
Protected Member Functions | |
| virtual double | tensorToScalar (const WVector3d &evals, const WTensorSym< 2, 3, float > &tensor) |
| Actual RA computation takes place inhere. More... | |
| Protected Member Functions inherited from WObjectNDIP< WDataSetDTIToScalar_I > | |
| WObjectNDIP (std::string name, std::string description, const char **icon=NULL) | |
| Construct a NDIP'ed object. More... | |
Additional Inherited Members | |
| Public Types inherited from WObjectNDIP< WDataSetDTIToScalar_I > | |
| typedef std::shared_ptr< WObjectNDIP > | SPtr |
| Shared ptr to an instance. More... | |
| typedef std::shared_ptr< const WObjectNDIP > | ConstSPtr |
| Shared ptr to a const instance. More... | |
| Protected Attributes inherited from WObjectNDIP< WDataSetDTIToScalar_I > | |
| WProperties::SPtr | m_properties |
| the properties of the object. More... | |
|
protectedvirtual |
Actual RA computation takes place inhere.
| evals | With the three given Eigenvalues, we may compute the RA. See the wikipedia article above for the formula. |
| tensor | Although not needed for RA computation, the API requires us to use the signature. |
Implements WDataSetDTIToScalar_I.
1.9.1
![\[ \hat{\lambda} = \frac{1}{3} \sum \lambda_i \]](form_6.png)
![\[ RA = \sqrt{ \frac{1}{3} } \frac{ \sqrt{ \left(\lambda_1 - \hat{\lambda} \right)^2 + \left(\lambda_2 - \hat{\lambda} \right)^2 + \left(\lambda_3 - \hat{\lambda} \right)^2}} {\hat{\lambda}} \]](form_9.png)