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A Shape-based Statistical Method to Retrieve 2D TRUS-MR Slice Correspondence for Prostate Biopsy

2012

International audience; This paper presents a method based on shape-context and statistical measures to match interventional 2D Trans Rectal Ultrasound (TRUS) slice during prostate biopsy to a 2D Magnetic Resonance (MR) slice of a pre-acquired prostate volume. Accurate biopsy tissue sampling requires translation of the MR slice information on the TRUS guided biopsy slice. However, this translation or fusion requires the knowledge of the spatial position of the TRUS slice and this is only possible with the use of an electro-magnetic (EM) tracker attached to the TRUS probe. Since, the use of EM tracker is not common in clinical practice and 3D TRUS is not used during biopsy, we propose to per…

shape-contextProstate biopsyComputer science[INFO.INFO-IM] Computer Science [cs]/Medical Imaging030230 surgeryTranslation (geometry)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]urologic and male genital diseasesRectal ultrasound030218 nuclear medicine & medical imagingProstate biopsy03 medical and health sciences0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ProstateBiopsymedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingComputer visionnormalized mutual information.normalized mutual informationmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Magnetic resonance imagingTissue samplingmedicine.anatomical_structure2D TRUS/3D MR correspondenceArtificial intelligenceUltrasonographybusiness
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