Volume Weighting in Projection System Matrix for Cone-beam Computed Tomographic Volumeretic Image Reconstruction

Method of creating artifact-free and ultra high image reconstruction from X-ray computed tomography.

The Feldkamp-Davis-Kress (FDK) algorithm has been used prevalently for cone-beam computed tomography image reconstruction in the past decades. Images reconstructed by the standard FDK algorithm suffer from noise and artifacts caused by the unsuitable flicering of back-projection geometry models. The purpose of this Invention is to develop an accurate geometry model-based weighting scheme in the back-projection step to enhance the performance of the standard FDK algorithm.

Volumetric imaging needs volumetric modeling in the image reconstruction platform. Dr. Jerome Liang, Professor at Stony Brook University created an invention which provides a typical volume modeling example in order to create an ultra high resolution image reconstruction in X-ray computed tomography.

Most efficient and accurate method available

Creating artifact-free and ultra high resolution image reconstruction for X-ray computed tomography

Provisional Pending

We seek to develop and commercialize, by an exclusive or non-exclusive license agreement and/or sponsored research, with a company active in the area.

Available for License

Cone-beam volumetric CT, Low-dose CT imaging, Volume weighing


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