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Development of novel algorithm to visualize blood vessels on 3D ultrasound images during liver surgery

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Document pages: 17 pages

Abstract: Volume visualization is a method that displays three-dimensional (3D) data intwo-dimensional (2D) space. Using 3D datasets instead of 2D traditional imagesimproves the visualization of anatomical structures, and volume visualizationhelps radiologists and surgeons to review large datasets comprehensively sothat diagnosis and treatment can be enhanced. In liver surgery, blood vesseldetection is important. Liver vessels have various shapes and due to thepresence of noise in the ultrasound images, they can be confused with noise.Suboptimal images can sometimes lead to surgical errors where the surgeon maycut the blood vessel in error. The ultrasound system is versatile and portableand has the advantage of being able to be used in the operating theatre. Due tothe nature of B-mode ultrasound, 1-D transfer function volume visualization ofimages cannot abrogate shadow artifacts. While multi-dimensional transferfunction improves the ability to define features of interest, the highdimensionality in the parameter domain renders it unwieldy and difficult forclinicians to work with. To overcome these limitations, an algorithm for volumevisualization that can provide effective 3D visualization of noisy B-modeultrasound images, which can be useful for clinicians, is proposed. We proposea method that is appropriate for liver ultrasound images focusing on vesselsand tumors (if present) in order to delineate their structure and positionsclearly to preempt surgical error during operation. This method can preventpossible errors during liver surgery by providing more detailed high quality 3Dimages for clinicians. Key Words: Visualization, 3D ultrasound image, VolumeRendering, Liver surgery, Liver vessels.

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