| Full text | |
| Author(s): |
Total Authors: 4
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| Affiliation: | [1] Ctr Informat Technol Renato Archer, Div 3D Technol, Campinas, SP - Brazil
[2] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION; v. 8, n. 3, p. 294-300, MAY 3 2020. |
| Web of Science Citations: | 3 |
| Abstract | |
Several medical imaging techniques have been employed to create visual representations of internal anatomic structures, such as organs and tissues, for clinical procedures. Diagnosis and treatment of diseases have benefited from the use of imaging modalities, such as computed tomography, magnetic resonance imaging, ultrasonography, mammography, and photon emission tomography. Interpolation is a method for generating new data points on a regular grid from a set of known data points, as result of some image transformations, such as scaling and rotation. Several filters have been proposed to implement image interpolation. In this paper, we develop and evaluate a resampling method based on the three-dimensional Lanczos kernel. Experiments are conducted on several medical images and videos to demonstrate the effectiveness of the proposed interpolation approach. (AU) | |
| FAPESP's process: | 17/12646-3 - Déjà vu: feature-space-time coherence from heterogeneous data for media integrity analytics and interpretation of events |
| Grantee: | Anderson de Rezende Rocha |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |