METK — The Medical Exploration Toolkit

Tietjen, Christian; Mühler, Konrad; Ritter, Felix; Konrad, Olaf; Hindennach, Milo; Preim, Bernhard

doi:10.1007/978-3-540-78640-5_82

Cited by 3 publications

(1 citation statement)

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“…Whenever the doctor clicks on a certain part of the body, a search of the medical records is triggered to extract the relevant information. The Medical Exploration Toolkit presented by Tietjen et al [18] bundles various concepts for loading, visualizing, and exploring segmented medical data sets. Critical distances to pathological structures are computed, and displayed in a synchronized manner in 2D and 3D.…”

Section: Actionmentioning

confidence: 99%

Contextual picking of volumetric structures

Kohlmann

Brückner

Kanitsar

et al. 2009

2009 IEEE Pacific Visualization Symposium

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This paper presents a novel method for the interactive identification of contextual interest points within volumetric data by picking on a direct volume rendered image. In clinical diagnostics the points of interest are often located in the center of anatomical structures. In order to derive the volumetric position which allows a convenient examination of the intended structure, the system automatically extracts contextual meta information from the DICOM (Digital Imaging and Communications in Medicine) images and the setup of the medical workstation. Along a viewing ray for a volumetric picking, the ray profile is analyzed for structures which are similar to predefined templates from a knowledge base. We demonstrate with our results that the obtained position in 3D can be utilized to highlight a structure in 2D slice views, to interactively calculate centerlines of tubular objects, or to place labels at contextually-defined volumetric positions.

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Section: Actionmentioning

confidence: 99%