A Novel Method of Visualizing Three-Dimensional Image Datasets
University of Pittsburgh researchers have developed a novel method for visualizing C mode images on three-dimensional (3D) image datasets. This technique optimizes the visualization of target tissues by adopting the natural curvature of the tissue or region of interest, thereby eliminating artifacts and distortions caused by body motion during scanning. This method enhances the accuracy and reliability of 3D imaging modalities such as MRI, CAT scan, ultrasound, and optical coherence tomography (OCT).
Description
The invention is a novel method of visualizing C mode images on any 3D image dataset (OCT, SOCT, MRI, CT, Ultrasound etc.) by adopting the natural curvature of tissue or region of interest. To achieve this goal, the inventors use both automated segmentation and manually configured contour models (but mathematically interpolated using Spline interpolation) methods. Users can set 3D model lines for a plane where C mode image sampling occurs. As a result, the C mode image shows only the targettissue of interest eliminating artifacts and distortions from the image.Applications
• MRI• CAT scan
• Ultrasound
• Optical coherence tomography (OCT)
• Any type of three-dimensional image dataset