| Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets. | |
| | |
MedLine Citation:
|
PMID: 18383687 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
When the number of projections does not satisfy the Shannon/Nyquist sampling requirement, streaking artifacts are inevitable in x-ray computed tomography (CT) images reconstructed using filtered backprojection algorithms. In this letter, the spatial-temporal correlations in dynamic CT imaging have been exploited to sparsify dynamic CT image sequences and the newly proposed compressed sensing (CS) reconstruction method is applied to reconstruct the target image sequences. A prior image reconstructed from the union of interleaved dynamical data sets is utilized to constrain the CS image reconstruction for the individual time frames. This method is referred to as prior image constrained compressed sensing (PICCS). In vivo experimental animal studies were conducted to validate the PICCS algorithm, and the results indicate that PICCS enables accurate reconstruction of dynamic CT images using about 20 view angles, which corresponds to an under-sampling factor of 32. This undersampling factor implies a potential radiation dose reduction by a factor of 32 in myocardial CT perfusion imaging. |
| | |
Authors:
|
Guang-Hong Chen; Jie Tang; Shuai Leng |
Related Documents
:
|
15713927 - Catheter-directed mr angiography and cross-sectional imaging for the assessment of rena... 7697507 - Compromising abnormalities of the brachial plexus as displayed by magnetic resonance im... 18764227 - Experimental demonstration of isotropic negative permeability in a three-dimensional di... 8153307 - Pleural invasion by peripheral bronchogenic carcinoma: assessment with three-dimensiona... 17978897 - Small bowel obstructions secondary to bezoars. 16340337 - Subacute spongiform encephalopathies. |
Publication Detail:
|
Type: Evaluation Studies; Letter |
Journal Detail:
|
Title: Medical physics Volume: 35 ISSN: 0094-2405 ISO Abbreviation: Med Phys Publication Date: 2008 Feb |
Date Detail:
|
Created Date: 2008-04-03 Completed Date: 2008-04-30 Revised Date: 2011-04-21 |
Medline Journal Info:
|
Nlm Unique ID: 0425746 Medline TA: Med Phys Country: United States |
Other Details:
|
Languages: eng Pagination: 660-3 Citation Subset: IM |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Algorithms* Animals Data Compression / methods* Heart / radiography* Male Numerical Analysis, Computer-Assisted Radiographic Image Enhancement / methods* Radiographic Image Interpretation, Computer-Assisted / methods* Reproducibility of Results Sample Size Sensitivity and Specificity Signal Processing, Computer-Assisted* Swine Tomography, X-Ray Computed / methods* |
| Grant Support | |
ID/Acronym/Agency:
|
R01 EB005712-03/EB/NIBIB NIH HHS; R01 EB007021-03/EB/NIBIB NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Anniversary paper: evaluation of medical imaging systems.
Next Document: Automatic registration between reference and on-board digital tomosynthesis images for positioning v...