Literature DB >> 15147619

Use of 2D histograms for volume rendering of multidetector CT data: development of a graphical user interface.

Hoen-oh Shin1, B King, M Galanski, H K Matthies.   

Abstract

RATIONALE AND
OBJECTIVES: Direct volume rendering reveals 3D information on anatomic structures without preprocessing the data. This increases the interest in this technique as a diagnostic tool. A fast and simple method for setting transfer functions is crucial for clinical routine work. However, this is still a complex task. Present commercial workstations are usually limited to design galleries and window/level functionality.
MATERIALS AND METHODS: We present a graphical user interface for volume rendering of multidetector row CT data that permits a much more flexible specification of rendering parameters. A 2D histogram of CT density versus gradient magnitude facilitates the understanding of the spatial connections of different tissues. The incorporation of gradient magnitude into the transfer function domain allows discrimination of features of interest that are not distinguishable on CT density alone. Penetration length, color, and gradient magnitude are depicted on a stack of 2D slices according to the settings of the opacity transfer function and the viewing direction. A gallery of thumbnails with presets of transfer functions is interactively adapted if the volume is rotated or cropped.
RESULTS: This allows for fast evaluation of numerous rendering protocols at once. The interface was evaluated with CT data covering skeletal trauma, pathologies of the thorax/abdomen, and CT angiography.
CONCLUSION: We observed that high-quality visualizations could be obtained with reasonable interaction times. The 2D histogram and penetration length displays provided valuable insight into the dataset that made the specification of transfer functions a goal-oriented process.

Entities:  

Mesh:

Year:  2004        PMID: 15147619     DOI: 10.1016/j.acra.2004.01.013

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  2 in total

1.  Adaptation of a support vector machine algorithm for segmentation and visualization of retinal structures in volumetric optical coherence tomography data sets.

Authors:  Robert J Zawadzki; Alfred R Fuller; David F Wiley; Bernd Hamann; Stacey S Choi; John S Werner
Journal:  J Biomed Opt       Date:  2007 Jul-Aug       Impact factor: 3.170

2.  The effect of computed tomographic scanner parameters and 3-dimensional volume rendering techniques on the accuracy of linear, angular, and volumetric measurements of the mandible.

Authors:  Brian J Whyms; Houri K Vorperian; Lindell R Gentry; Eugene M Schimek; Edward T Bersu; Moo K Chung
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2013-05
  2 in total

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