Information Fusion for Real-time Motion Estimation in Image-guided Breast Biopsy Navigation

Simple item page
dc.contributor.authorKocev, Bojanen_US
dc.contributor.authorGeorgii, Joachimen_US
dc.contributor.authorLinsen, Larsen_US
dc.contributor.authorHahn, Horst Karlen_US
dc.contributor.editorJan Bender and Christian Duriez and Fabrice Jaillet and Gabriel Zachmannen_US
dc.date.accessioned2014-12-16T07:27:46Z
dc.date.available2014-12-16T07:27:46Z
dc.date.issued2014en_US
dc.description.abstractA real-time delivery of accurate soft-tissue intervention navigation information is one of the most crucial aspects for accepting the soft-tissue navigation systems for intra-operative use. Currently, soft-tissue navigation systems face some obstacles in terms of registration of the virtual navigation information on the deformable soft-tissue organ. Most of them perform a rigid registration between the virtual data and the organ, and then provide the surgeon with all navigation information. However, they suffer from the disadvantage that the virtual information is not correctly registered to the deformable organ. In order to enable a real-time non-linear registration between the virtual navigation information and the deformable organ, we incorporate different means for tracking the soft- tissue internal and on-surface local motion. Furthermore, we introduce an intelligent information fusion engine for combining the various soft-tissue local motion tracking information into a global motion information channel. The fusion engine is the interface to the motion measurements, a motion dynamics model, and static shape infor- mation, which are combined to compute the a posteriori estimate of the current state of the deformed shape. The dynamics model is realized as a finite-element deformation simulation. In order to test the feasibility of our devised information fusion engine, we have employed it for capturing the global motion of a breast phantom during an image-guided biopsy. The biopsy planning navigation data, in the form of a prior diagnostic MRI, is continuously updated over time according to the a posteriori estimate of the global motion. As a result, the real-time changes in the shape of the breast are always reflected in the biopsy navigation information.en_US
dc.description.seriesinformationWorkshop on Virtual Reality Interaction and Physical Simulationen_US
dc.identifier.isbn978-3-905674-71-2en_US
dc.identifier.urihttps://doi.org/10.2312/vriphys.20141227en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysisen_US
dc.subjectMotionen_US
dc.subjectSensor fusionen_US
dc.subjectTrackingen_US
dc.subjectShapeen_US
dc.subjectJ.3 [Computer Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.subjectHealthen_US
dc.titleInformation Fusion for Real-time Motion Estimation in Image-guided Breast Biopsy Navigationen_US
Files
Original bundle
Now showing 1 - 3 of 3
Thumbnail Image
Name:
087-098.pdf
Size:
807.82 KB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
information_fusion_for_real-time_motion_estimation_in_image-guided_breast_biopsy_navigation_-_kocev_et_al_(lq).wmv
Size:
40.58 MB
Format:
Unknown data format
Download
No Thumbnail Available
Name:
video-description.txt
Size:
1.7 KB
Format:
Plain Text
Download
Collections
vriphys14