16 resultados para INTRAVASCULAR ULTRASOUND ELASTOGRAPHY
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Abertay Research Collections - Abertay University’s repository (2)
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Aston University Research Archive (10)
- Biblioteca de Teses e Dissertações da USP (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (22)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (3)
- Bioline International (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (214)
- Boston University Digital Common (9)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- Cambridge University Engineering Department Publications Database (162)
- CentAUR: Central Archive University of Reading - UK (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (3)
- Cochin University of Science & Technology (CUSAT), India (2)
- Coffee Science - Universidade Federal de Lavras (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (25)
- Digital Commons at Florida International University (3)
- Digital Repository at Iowa State University (3)
- DigitalCommons@The Texas Medical Center (5)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (6)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- Helda - Digital Repository of University of Helsinki (25)
- Hospitais da Universidade de Coimbra (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (2)
- Indian Institute of Science - Bangalore - Índia (20)
- Instituto Nacional de Saúde de Portugal (1)
- Instituto Politécnico de Bragança (2)
- Instituto Politécnico de Viseu (1)
- National Center for Biotechnology Information - NCBI (6)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (64)
- Queensland University of Technology - ePrints Archive (122)
- Repositorio Academico Digital UANL (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (115)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (4)
- School of Medicine, Washington University, United States (1)
- Scientific Open-access Literature Archive and Repository (5)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (5)
- Universidade Complutense de Madrid (1)
- Université de Lausanne, Switzerland (7)
- Université de Montréal (3)
- Université de Montréal, Canada (16)
- University of Michigan (4)
- University of Queensland eSpace - Australia (23)
- University of Washington (5)
- WestminsterResearch - UK (1)
Resumo:
This paper describes a novel algorithm for tracking the motion of the urethra from trans-perineal ultrasound. Our work is based on the structure-from-motion paradigm and therefore handles well structures with ill-defined and partially missing boundaries. The proposed approach is particularly well-suited for video sequences of low resolution and variable levels of blurriness introduced by anatomical motion of variable speed. Our tracking method identifies feature points on a frame by frame basis using the SURF detector/descriptor. Inter-frame correspondence is achieved using nearest-neighbor matching in the feature space. The motion is estimated using a non-linear bi-quadratic model, which adequately describes the deformable motion of the urethra. Experimental results are promising and show that our algorithm performs well when compared to manual tracking.