Dental cone-beam CT reconstruction from limited-angle view data based on compressed-sensing (CS) theory for fast, low-dose X-ray imaging

Recently, reducing radiation doses has become an issue of critical importance in the broader radiological community. As a possible technical approach, especially, in dental cone-beam computed tomography (CBCT), reconstruction from limited-angle view data (< 360°) would enable fast scanning with r...

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Published inJournal of the Korean Physical Society Vol. 64; no. 12; pp. 1907 - 1911
Main Authors Je, Uikyu, Cho, Hyosung, Lee, Minsik, Oh, Jieun, Park, Yeonok, Hong, Daeki, Park, Cheulkyu, Cho, Heemoon, Choi, Sungil, Koo, Yangseo
Format Journal Article
LanguageEnglish
Published Seoul The Korean Physical Society 01.06.2014
한국물리학회
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ISSN0374-4884
1976-8524
DOI10.3938/jkps.64.1907

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Abstract Recently, reducing radiation doses has become an issue of critical importance in the broader radiological community. As a possible technical approach, especially, in dental cone-beam computed tomography (CBCT), reconstruction from limited-angle view data (< 360°) would enable fast scanning with reduced doses to the patient. In this study, we investigated and implemented an efficient reconstruction algorithm based on compressed-sensing (CS) theory for the scan geometry and performed systematic simulation works to investigate the image characteristics. We also performed experimental works by applying the algorithm to a commercially-available dental CBCT system to demonstrate its effectiveness for image reconstruction in incomplete data problems. We successfully reconstructed CBCT images with incomplete projections acquired at selected scan angles of 120, 150, 180, and 200° with a fixed angle step of 1.2° and evaluated the reconstruction quality quantitatively. Both simulation and experimental demonstrations of the CS-based reconstruction from limited-angle view data show that the algorithm can be applied directly to current dental CBCT systems for reducing the imaging doses and further improving the image quality.
AbstractList Recently, reducing radiation doses has become an issue of critical importance in the broader radiologicalcommunity. As a possible technical approach, especially, in dental cone-beam computedtomography (CBCT), reconstruction from limited-angle view data (< 360) would enable fast scanningwith reduced doses to the patient. In this study, we investigated and implemented an efficientreconstruction algorithm based on compressed-sensing (CS) theory for the scan geometry and performedsystematic simulation works to investigate the image characteristics. We also performedexperimental works by applying the algorithm to a commercially-available dental CBCT system todemonstrate its effectiveness for image reconstruction in incomplete data problems. We successfullyreconstructed CBCT images with incomplete projections acquired at selected scan angles of 120,150, 180, and 200 with a fixed angle step of 1.2 and evaluated the reconstruction quality quantitatively. Both simulation and experimental demonstrations of the CS-based reconstruction fromlimited-angle view data show that the algorithm can be applied directly to current dental CBCTsystems for reducing the imaging doses and further improving the image quality. KCI Citation Count: 0
Recently, reducing radiation doses has become an issue of critical importance in the broader radiological community. As a possible technical approach, especially, in dental cone-beam computed tomography (CBCT), reconstruction from limited-angle view data (< 360°) would enable fast scanning with reduced doses to the patient. In this study, we investigated and implemented an efficient reconstruction algorithm based on compressed-sensing (CS) theory for the scan geometry and performed systematic simulation works to investigate the image characteristics. We also performed experimental works by applying the algorithm to a commercially-available dental CBCT system to demonstrate its effectiveness for image reconstruction in incomplete data problems. We successfully reconstructed CBCT images with incomplete projections acquired at selected scan angles of 120, 150, 180, and 200° with a fixed angle step of 1.2° and evaluated the reconstruction quality quantitatively. Both simulation and experimental demonstrations of the CS-based reconstruction from limited-angle view data show that the algorithm can be applied directly to current dental CBCT systems for reducing the imaging doses and further improving the image quality.
Author Choi, Sungil
Hong, Daeki
Koo, Yangseo
Lee, Minsik
Park, Cheulkyu
Oh, Jieun
Park, Yeonok
Je, Uikyu
Cho, Hyosung
Cho, Heemoon
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Keywords Low doses
Computed tomography
Limited scan angle
Compressed-sensing
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Snippet Recently, reducing radiation doses has become an issue of critical importance in the broader radiological community. As a possible technical approach,...
Recently, reducing radiation doses has become an issue of critical importance in the broader radiologicalcommunity. As a possible technical approach,...
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SubjectTerms Mathematical and Computational Physics
Particle and Nuclear Physics
Physics
Physics and Astronomy
Theoretical
물리학
Title Dental cone-beam CT reconstruction from limited-angle view data based on compressed-sensing (CS) theory for fast, low-dose X-ray imaging
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