Bhargav Raman

7379574, May 27, 2008

Dec 2, 2004

11/004630

Raghav Raman - Cupertino CA, US
Bhargav Raman - San Jose CA, US
Sandy A. Napel - Menlo Park CA, US
Geoffrey D. Rubin - Woodside CA, US

The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA

G06K 9/00
A61F 2/06
A61B 5/05

382128, 600425, 623 134

A method to quantify the vascular irregularity of aortoiliac arteries is provided. Inner wall and/or outer wall outlines of a vessel of interest are determined. The cross sectional area is determined for the area outlined by each outline. Using this cross sectional area a shape is selected that has substantially the same area as the outline. Subsequently, the shape is fitted to the outline. In one aspect, the irregularity index is calculated as the ratio of the outline and the outline of the fitted shape. In another aspect, the irregularity index is calculated as the ratio of at least a part of the outline and the outline of the fitted shape that corresponds to the same part of the outline. The irregularity index is visualized using a color scheme, a range of numbers, or a set of labels.

7471814, Dec 30, 2008

Dec 2, 2004

11/004633

Raghav Raman - Cupertino CA, US
Bhargav Raman - San Jose CA, US
Sandy A. Napel - Menlo Park CA, US
Geoffrey D. Rubin - Woodside CA, US

The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA

G06T 17/00
G06K 9/00
A61B 5/05

382128, 600407

A method to define a curved slab region of interest that includes vessels while maximally excluding surrounding soft tissue and bone is provided. The thickness of the curved slab is automatically adapted to the thickness of the vessel and follows the tortuous vessel(s) so that an increase in tortuousity does not result in a disproportionate increase in the region of interest required to enclose the vessel. A plurality of boundary pairs is determined in the view plane to define a vessel. Vessel-intensities are determined for each one of the boundary pairs. The boundary pairs with associated intensities define the view of the vessel in the projection plane. Context-intensity could be defined in the area surrounding the boundary pairs in the projection and/or transverse plane. The method also includes several steps that will result in a better isolation and removal of non-vessel structures and view of the vessel(s) and its(their) branches.

20050195936, Sep 8, 2005

Dec 2, 2004

11/003937

Raghav Raman - Cupertino CA, US
Bhargav Raman - San Jose CA, US
Sandy Napel - Menlo Park CA, US
Geoffrey Rubin - Woodside CA, US

G21K001/12
H05G001/60

378006000

A method that allows the quantification of the true mass of a calcium fragment located along a vessel is provided. The method is independent of the level of arterial contrast enhancement, does not require protocol-specific or scanner-specific calibration scans, and allows a detailed analysis of calcium distribution patterns. For each identified calcium fragment, the average intensity and volume is determined as a function of a plurality of intensity thresholds. Using these determined values brightness volume products are calculated for each of the plurality of intensity thresholds. The mass of a calcium segment is subsequently obtained from the calculated brightness volume products extrapolated at zero intensity and reference calcium parameters. The mass and volume of the calcium fragments could be visualized with respect to a vessel in a computer display.

20050256400, Nov 17, 2005

Dec 2, 2004

11/003584

Bhargav Raman - Cupertino CA, US
Raghav Raman - Cupertino CA, US
Sandy Napel - Menlo Park CA, US
Geoffrey Rubin - Woodside CA, US

A61B005/05

600425000

A method for identifying a arteries and veins in a medical image is provided. A start point and endpoints of branches of a segmented tubular tree are identified. Distance maps for each of the endpoints relative to the startpoint are created. Then voxels in between the furthest of the endpoints and the startpoint are identified. This last step is iterated for the subsequent furthest of the endpoints. For each set of identified voxels parameters are identified. Examples of such parameters are cross sectional areas of the branches. The parameters for at least one each set of identified voxels are then used to anatomically label branches the segmented tubular tree, optionally with position information obtained from the image.