Compressive sensing of images with a priori known spatial support

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In medical imaging, image background is often defined by zero signal. Moreover, in medical images the background area - or conversely, the spatial support (the extent of the non-zero part of the image) - is often known a priori or can be easily estimated. For example, support information can be estimated from the low-resolution "scout" images typically acquired during pre-scan localization in both MRI and CT. In dynamic scans, object support in a single time-frame is often obtainable from a prior time frame, or from a composite image formed from data from multiple time frames. In this work, incorporation of cither complete or partial a priori knowledge of object spatial support into the compressive sensing (CS) framework is investigated. Following development of the augmented reconstruction model, examples of support-constrained CS reconstruction of phantom and MR images under both exact and inexact support definitions are given. For each experiment, the straightforward incorporation of the proposed spatial support constraint into the standard CS model was shown to both significantly accelerate reconstruction convergence and yield a lower terminal RMSE compared to a conventional CS reconstruction. The proposed augmented reconstruction model was also shown to be robust to inaccuracies in the estimated object support.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7622
EditionPART 2
DOIs
StatePublished - 2010
EventMedical Imaging 2010: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 15 2010Feb 18 2010

Other

OtherMedical Imaging 2010: Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/15/102/18/10

Fingerprint

Medical imaging
Diagnostic Imaging
Image resolution
Magnetic resonance imaging
Composite materials
Experiments
composite materials

Keywords

  • Compressed sensing
  • Compressive sensing
  • CT
  • Dose reduction
  • MRI
  • Support
  • Undersampling

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Manduca, A., Trazasko, J. D., & Li, Z. (2010). Compressive sensing of images with a priori known spatial support. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (PART 2 ed., Vol. 7622). [762223] https://doi.org/10.1117/12.845617

Compressive sensing of images with a priori known spatial support. / Manduca, Armando; Trazasko, Joshua D; Li, Zhoubo.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7622 PART 2. ed. 2010. 762223.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Manduca, A, Trazasko, JD & Li, Z 2010, Compressive sensing of images with a priori known spatial support. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 2 edn, vol. 7622, 762223, Medical Imaging 2010: Physics of Medical Imaging, San Diego, CA, United States, 2/15/10. https://doi.org/10.1117/12.845617
Manduca A, Trazasko JD, Li Z. Compressive sensing of images with a priori known spatial support. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 2 ed. Vol. 7622. 2010. 762223 https://doi.org/10.1117/12.845617
Manduca, Armando ; Trazasko, Joshua D ; Li, Zhoubo. / Compressive sensing of images with a priori known spatial support. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7622 PART 2. ed. 2010.
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