Conference proceeding
Novel structured low-rank algorithm to recover spatially smooth exponential image time series
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Vol.2017, pp.1-4
04/2017
DOI: 10.1109/ISBI.2017.7950454
PMCID: PMC7985823
PMID: 33763179
Abstract
We propose a structured low rank matrix completion algorithm to recover a time series of images consisting of linear combination of exponential parameters at every pixel, from undersampled Fourier measurements. The spatial smoothness of these parameters is exploited along with the exponential structure of the time series at every pixel, to derive an annihilation relation in the k - t domain. This annihilation relation translates into a structured low rank matrix formed from the k - t samples. We demonstrate the algorithm in the parameter mapping setting and show significant improvement over state of the art methods.
Details
- Title: Subtitle
- Novel structured low-rank algorithm to recover spatially smooth exponential image time series
- Creators
- Arvind Balachandrasekaran - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USAMathews Jacob - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Vol.2017, pp.1-4
- DOI
- 10.1109/ISBI.2017.7950454
- PMID
- 33763179
- PMCID
- PMC7985823
- NLM abbreviation
- Proc IEEE Int Symp Biomed Imaging
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Publisher
- IEEE
- Language
- English
- Date published
- 04/2017
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984070754602771
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