3D-2D ultrasound feature-based registration for navigated prostate biopsy: A feasibility study

Sonia Selmi 1 Emmanuel Promayon 1 Jocelyne Troccaz 1
1 TIMC-IMAG-GMCAO - Gestes Medico-chirurgicaux Assistés par Ordinateur
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
Abstract : The aim of this paper is to describe a 3D-2D ultrasound feature-based registration method for navigated prostate biopsy and its first results obtained on patient data. A system combining a low-cost tracking system and a 3D-2D registration algorithm was designed. The proposed 3D-2D registration method combines geometric and image-based distances. After extracting features from ultrasound images, 3D and 2D features within a defined distance are matched using an intensity-based function. The results are encouraging and show acceptable errors with simulated transforms applied on ultrasound volumes from real patients.
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Submitted on : Tuesday, October 25, 2016 - 12:36:04 PM
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Sonia Selmi, Emmanuel Promayon, Jocelyne Troccaz. 3D-2D ultrasound feature-based registration for navigated prostate biopsy: A feasibility study. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'16), Aug 2016, Orlando, FL, United States. pp.4109 - 4112, ⟨10.1109/EMBC.2016.7591630⟩. ⟨hal-01387243⟩

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