Added feature to propagate segmentation through a single slice within a multi-slice acquisition.

Refactored the surface display.

Added capability to create a surrounding or annulus region of interest around an existing tissue object.

An alternative edge contrast space that reduces the affect of noise is added; automatic labeling using the saccadic eye movement is updated.

Saccadic eye movement will now take multiple steps automatically; Recognition and labeling are automatically applied during movement.

Extended the saccadic eye movement model to detect and label up to two tissue objects automatically.

Augmented the saccadic eye movement model in preparation for automatic volume segmentation and tissue recognition.

Augmented the saccadic eye movement model in preparation for automatic volume segmentation and tissue recognition.

Extended the saccadic eye movement model.

Extended the saccadic eye movement model.

Fixed an issue recording observation learning data.

Added multiple image acquisition selection, improved edge detection and added tissue selection for further dissection.

Added a saccadic eye movement model that will automatically seek cardiac MRI tissue objects.

Reversed the vertical stepping direction for 3D slice display; updated help text.

Improved edge contrast display; added a 3D zoom feature; added a pixel intensity display control circular slider.

User interaction flow from analysis to labeling has been enhanced.

Tissue object recognition and labeling.

1. 4D edge contrast image display 2. Improved 3D slice edge graphic display

Edge contrast images have been added to all display formats.

Edge detection has been refined using a tissue object region of interest mosaic.

Added a slice edge 4D line display.

Volumetric analysis curves are depicted in a new curve view. Ejection fraction, ejection volumetric strain, velocity and acceleration curves are depicted. The DICOM repetition time variable is used to establish a time scale. Movies are shown at this rate.

Added a time scale using the DICOM repetition time variable. Curve display will now compute volumetric parameters for dynamic studies. Movie display is now in real time.

1. Refined the edge detection process. 2. The brain can now be trained with any number of tagged segmented tissue objects that you choose to build up experience.

1. 3D rendering of slice edges requires an array of adjacent and sequential edge coordinates to define vertex positions. Coordinate search is updated to create a single sequence for each tissue part that meets this requirement. 2. A novel 2D normal calculation greatly enhances a more realistic rendering.