Book chapter
B-Spline Registration of Neuroimaging Modalites with Map-Reduce Framework
Brain Informatics and Health, pp 285-294
21 Aug 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, we propose an improved B-spline registration algorithm for feature fusion of images from different neuroimaging techniques. The current B-spline registration method generally consists of several steps: initial curve estimation, similarity estimation between the warped image and fixed image, gradient computation, optimization and curve re-estimation. We improved the accuracy and efficiency of gradient computation by introducing a map-reduce framework which partitions the volume into multiple subregions and each subregion can be processed independently and efficiently. Experimental results show that our method achieves higher accuracy than the traditional registration algorithm and computational burden is released for large scale neuroimages.
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Details
- Title
- B-Spline Registration of Neuroimaging Modalites with Map-Reduce Framework
- Creators
- Pingge Jiang - Electrical and Computer Engineering Department, Drexel University, Philadelphia, USAJames A Shackleford - Electrical and Computer Engineering Department, Drexel University, Philadelphia, USA
- Publication Details
- Brain Informatics and Health, pp 285-294
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000363761200028
- Scopus ID
- 2-s2.0-84945970148
- Other Identifier
- 991014877933804721
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- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Robotics