Assessing tumour vascularity with 3D contrast-enhanced ultrasound; a new semi-automated segmentation framework

Anne Gasnier (1) , Roberto Ardon (1) , Cybèle Ciofolo-Veit (1) , Edward Leen (2) , Jean-Michel Corréas (3)

1 Medisys - MedisysResearch Lab
2 Imaging Sciences Department
3 Department of Adult Radiology

3D contrast-enhanced ultrasound (CEUS) is a powerful imaging technique for tumour vascularity assessment, which is critical for radio-frequency ablation (RFA) planning or for the assessment of response to antiangiogenic therapies. In this paper, we propose a novel semi-automated method for the quantification of tumour vascularity in 3D CEUS data. We apply a two-step framework combining an interactive segmentation of the tumour necrosis followed by an automatic detection of the vascularity based on implicit representations. Experimental results on 3D CEUS images of renal cell carcinomas (RCC) show that our method is promising in terms of speed and quality. (c) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

Mots clés: Tumour Vascularity Segmentation; 3D Contrast Enhanced Ultrasound

Domaines: Imagerie médicale; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Anne Gasnier, Roberto Ardon, Cybèle Ciofolo-Veit, Edward Leen, Jean-Michel Corréas. Assessing tumour vascularity with 3D contrast-enhanced ultrasound; a new semi-automated segmentation framework. 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Apr 2010, Rotterdam, Netherlands. pp.300-303, ⟨10.1109/ISBI.2010.5490351⟩. ⟨hal-00508785⟩