Jerome Knoplioch

An algorithm for tracking vessels in three-dimensional angiograms

An adaptive algorithm for tracking vessels in three-dimensional angiogram is presented. This algorithm provides the vessel centerline and the vessel cross-section at each point of the centerline. Results obtained in Magnetic Resonance Angiography and 3D Computerized Angiography are discussed.

Evaluation of a new method for stenosis quantification from 3D x-ray angiography images

A new method for stenosis quantification from 3D X-ray angiography images has been evaluated on both phantom and clinical data. On phantoms, for the parts larger or equal to 3 mm, the standard deviation of the measurement error has always found to be less or equal to 0.4 mm, and the maximum measurement error less than 0.17 mm. No clear relationship has been observed between the performances of the quantification method and the acquisition FoV. On clinical data, the 3D quantification method proved to be more robust to vessel bifurcations than its 3D equivalent. On a total of 15 clinical cases, the differences between 2D and 3D quantification were always less than 0.7 mm. The conclusion is that stenosis quantification from 3D X-4ay angiography images is an attractive alternative to quantification from 2D X-ray images.