Thc ovcrall purpose of this work is to identify objects in an angiographic sequence by exploiting the tem- poral correlation between adjacent frames for analysis and compression purposes. The detection of the vascular tree in a reference image can support segmentation in adjacent frames by reducing the detection problem to a tracking pro- cedure along the sequence. Object identification also allows an object-oriented approach to compression, as suggested by medical images nature. A vessel segmentation algorithm has been designed and implemented; it is an extrapolation and update procedure which exploits the a priori knowledge about the image content.

Semantic segmentation of angiographic images

Menegaz, Gloria;
1996

Abstract

Thc ovcrall purpose of this work is to identify objects in an angiographic sequence by exploiting the tem- poral correlation between adjacent frames for analysis and compression purposes. The detection of the vascular tree in a reference image can support segmentation in adjacent frames by reducing the detection problem to a tracking pro- cedure along the sequence. Object identification also allows an object-oriented approach to compression, as suggested by medical images nature. A vessel segmentation algorithm has been designed and implemented; it is an extrapolation and update procedure which exploits the a priori knowledge about the image content.
segmentation, angiography
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/1011516
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