916 resultados para Photometric stereo
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (5)
- Adam Mickiewicz University Repository (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (17)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (20)
- Aquatic Commons (8)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (9)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (4)
- Aston University Research Archive (11)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (34)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (18)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (52)
- Boston University Digital Common (7)
- Brock University, Canada (6)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- CaltechTHESIS (11)
- Cambridge University Engineering Department Publications Database (62)
- CentAUR: Central Archive University of Reading - UK (57)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (32)
- Cochin University of Science & Technology (CUSAT), India (2)
- Coffee Science - Universidade Federal de Lavras (1)
- Dalarna University College Electronic Archive (3)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (1)
- Digital Peer Publishing (8)
- DigitalCommons - The University of Maine Research (2)
- DigitalCommons@The Texas Medical Center (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (7)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (28)
- Instituto Politécnico do Porto, Portugal (8)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (21)
- National Center for Biotechnology Information - NCBI (8)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Publishing Network for Geoscientific & Environmental Data (18)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (128)
- Queensland University of Technology - ePrints Archive (75)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (3)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (64)
- Royal College of Art Research Repository - Uninet Kingdom (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (3)
- Universidad de Alicante (23)
- Universidad Politécnica de Madrid (46)
- Universidade Complutense de Madrid (13)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (11)
- Universitat de Girona, Spain (12)
- Université de Montréal, Canada (19)
- University of Connecticut - USA (1)
- University of Michigan (11)
- University of Queensland eSpace - Australia (18)
- University of Washington (2)
Resumo:
A novel algorithm for performing registration of dynamic contrast-enhanced (DCE) MRI data of the breast is presented. It is based on an algorithm known as iterated dynamic programming originally devised to solve the stereo matching problem. Using artificially distorted DCE-MRI breast images it is shown that the proposed algorithm is able to correct for movement and distortions over a larger range than is likely to occur during routine clinical examination. In addition, using a clinical DCE-MRI data set with an expertly labeled suspicious region, it is shown that the proposed algorithm significantly reduces the variability of the enhancement curves at the pixel level yielding more pronounced uptake and washout phases.