Abstract
3D medical images are widely used to assist diagnosis and surgical planning in clinical applications, where quantitative measurement of interesting objects in the image is of great importance. Volume rendering is widely used for qualitative visualization of 3D medical images. In this paper, we introduce a volume-rendering-based interactive 3D measurement framework for quantitative analysis of 3D medical images. In the framework, 3D widgets and volume clipping are integrated with volume rendering. Specifically, 3D plane widgets are manipulated to clip the volume to expose interesting objects. 3D plane widgets, 3D line widgets, and 3D angle widgets are then manipulated to measure the areas, distances, and angles of interesting objects. The methodology of the proposed framework is described. Experimental results indicate the performance of the interactive 3D measurement framework.
Highlights
Modern medical imaging can produce 3D images, which have been widely used to assist qualitative and quantitative diagnosis in clinical applications
We have proposed a volume-rendering-based interactive 3D measurement framework, which integrates 3D widgets and volume clipping with volume rendering, to address the above problems
An interactive 3D measurement framework based on volume rendering is implemented for quantitative
Summary
Modern medical imaging (such as CT, MRI, and optical CT) can produce 3D images, which have been widely used to assist qualitative and quantitative diagnosis in clinical applications. One of the commonest needs in these imageguided diagnoses is quantitative measurement of the interesting object in the image. Various automated and semiautomated image processing methods (such as segmentation and registration) have been proposed to improve measurement efficiency, they have not achieved the accuracy by interactive measurement with human experience. Currently interactive measurement methods are still commonly used in practical applications. Most existing methods perform interactive measurement on each of the three orthogonal slices. This way is not intuitive enough and requires the operator to reconstruct stereoscopic structure of the interesting object in his mind. The idea to directly perform interactive measurement in 3D space is inspired, where volume visualization technology should be used
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