1 resultado para LOW-INDEX SURFACES
em Boston University Digital Common
Filtro por publicador
- Academic Research Repository at Institute of Developing Economies (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 (1)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (6)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (3)
- Aston University Research Archive (36)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (33)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (9)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- Bioline International (3)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (46)
- Boston University Digital Common (1)
- Brock University, Canada (1)
- CaltechTHESIS (4)
- Cambridge University Engineering Department Publications Database (9)
- CentAUR: Central Archive University of Reading - UK (30)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (47)
- Cochin University of Science & Technology (CUSAT), India (9)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (56)
- Digital Commons - Michigan Tech (4)
- Digital Commons at Florida International University (3)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (8)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (3)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (33)
- Laboratório Nacional de Energia e Geologia - Portugal (1)
- National Center for Biotechnology Information - NCBI (4)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Portal de Revistas Científicas Complutenses - Espanha (3)
- Publishing Network for Geoscientific & Environmental Data (24)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (52)
- Queensland University of Technology - ePrints Archive (263)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (94)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (2)
- Scielo España (2)
- Scientific Open-access Literature Archive and Repository (2)
- Universidad de Alicante (7)
- Universidad del Rosario, Colombia (5)
- Universidad Politécnica de Madrid (17)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (4)
- Université de Montréal (1)
- Université de Montréal, Canada (7)
- University of Michigan (14)
- University of Queensland eSpace - Australia (11)
- University of Washington (1)
- WestminsterResearch - UK (1)
Resumo:
A difficulty in lung image registration is accounting for changes in the size of the lungs due to inspiration. We propose two methods for computing a uniform scale parameter for use in lung image registration that account for size change. A scaled rigid-body transformation allows analysis of corresponding lung CT scans taken at different times and can serve as a good low-order transformation to initialize non-rigid registration approaches. Two different features are used to compute the scale parameter. The first method uses lung surfaces. The second uses lung volumes. Both approaches are computationally inexpensive and improve the alignment of lung images over rigid registration. The two methods produce different scale parameters and may highlight different functional information about the lungs.