&lt;title&gt;Exploration of 3D medical data using combined emission and reflection volume rendering&lt;/title&gt;

Toennies, Klaus D.; Bock, Sandra

doi:10.1117/12.238467

Cited by 3 publications

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“…For extending the analytical capabilities of 3-d visualisation, we previously presented a method for displaying non-analysed data. It is intended to enable interactive interpretation of images from 3-d display 7 . Our method is able to display of 3-d depth cues such as surface curvature or object classification even though objects may only partially classified.…”

Section: Introductionmentioning

confidence: 99%

<title>Volume rendering for interactive 3D segmentation</title>

Toennies¹,

Derz

1997

SPIE Proceedings

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Combined emission/absorption and reflection/transmission volume rendering is able to display poorly segmented structures from 3-d medical image sequences. Visual cues such as shading and colour let the user distinguish structures in the 3-d display that are incompletely extracted by threshold segmentation. In order to be truly helpful, analysed information needs to be quantified and transferred back into the data. We extend our previously presented scheme for such display by establishing a communication between visual analysis and the display process. The main tool is a selective 3-d picking device. For being useful on a rather rough segmentation, the device itself and the display offer facilities for object selection. Selective intersection planes let the user discard information prior to choosing a tissue of interest. Subsequently, a picking is carried out on the 2-d display by casting a ray into the volume. The picking device is made pre-selective using already existing segmentation information. Thus, objects can be picked that are visible behind semi-transparent surfaces of other structures. Information generated by a later connected-component analysis can then be integrated into the data. Data examination is continued on an improved display letting the user actively participate in the analysis process. Results of this display-andinteraction scheme proved to be very effective. The viewer's ability to extract relevant information from a complex scene is combined with the computer's ability to quantify this information. The approach introduces 3-d computer graphics methods into user-guided image analysis creating an analysis-synthesis cycle for interactive 3-d segmentation.

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Section: Introductionmentioning

confidence: 99%

<title>Volume rendering for interactive 3D segmentation</title>

Toennies¹,

Derz

1997

SPIE Proceedings

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Rendering and interaction in co-operative 3-D image analysis

Toennies

Hinz

Pohle

2001

International Congress Series

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Most interactive segmentation methods are defined at a 2-d level requiring sometimes extensive interaction when the object of interest is difficult to be outlined by simple means of segmentation. This may become tedious if the data happens to be a 3-d scene of which a part of the differentiating features of a structure is buried in 3-d contextual information. We propose a concept of extending interactive or semi-automatic segmentation to 3-d where coherence information may be exploited more efficiently. A non-analysed scene may be evaluated using volume rendering techniques with which the user interacts to extract the structures that he or she is interested in. The approach is based on a concept of a co-operative system that communicates with the user for finding the best rendition and analysis. Within the concept we present a new method of estimating rendering parameters if the object of interest is only partially analysed.

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