Iterative Image Reconstruction Techniques Cardiothoracic Computed Tomography Applications

被引:24
|
作者
Cho, Young Jun [1 ,3 ]
Schoepf, U. Joseph [1 ]
Silverman, Justin R. [1 ]
Krazinski, Aleksander W. [1 ]
Canstein, Christian [1 ,2 ]
Deak, Zsuzsanna [4 ]
Grimm, Jochen [5 ,6 ]
Geyer, Lucas L. [1 ,4 ]
机构
[1] Med Univ S Carolina, Dept Radiol & Radiol Sci, Charleston, SC 29401 USA
[2] Siemens Healthcare Sect, Malvern, PA USA
[3] Konyang Univ, Coll Med, Dept Radiol, Taejon, South Korea
[4] Univ Hosp LMU, Dept Clin Radiol, Munich, Germany
[5] CHU Vaudois, Dept Med Radiol, CH-1011 Lausanne, Switzerland
[6] CHU Vaudois, Dept Legal Med, CH-1011 Lausanne, Switzerland
关键词
iterative image reconstruction; cardiac computed tomography; image noise; artifacts; radiation dose; CORONARY CT ANGIOGRAPHY; RADIATION-DOSE REDUCTION; DUAL-SOURCE CT; FILTERED BACK-PROJECTION; LOW-TUBE-VOLTAGE; IN-STENT VISUALIZATION; HIGH-RESOLUTION KERNEL; HEART-RATE-VARIABILITY; BODY-MASS INDEX; DIAGNOSTIC-ACCURACY;
D O I
10.1097/RTI.0000000000000041
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Iterative image reconstruction algorithms provide significant improvements over traditional filtered back projection in computed tomography (CT). Clinically available through recent advances in modern CT technology, iterative reconstruction enhances image quality through cyclical image calculation, suppressing image noise and artifacts, particularly blooming artifacts. The advantages of iterative reconstruction are apparent in traditionally challenging cases-for example, in obese patients, those with significant artery calcification, or those with coronary artery stents. In addition, as clinical use of CT has grown, so have concerns over ionizing radiation associated with CT examinations. Through noise reduction, iterative reconstruction has been shown to permit radiation dose reduction while preserving diagnostic image quality. This approach is becoming increasingly attractive as the routine use of CT for pediatric and repeated follow-up evaluation grows ever more common. Cardiovascular CT in particular, with its focus on detailed structural and functional analyses, stands to benefit greatly from the promising iterative solutions that are readily available.
引用
收藏
页码:198 / 208
页数:11
相关论文
共 50 条
  • [1] Iterative Image Reconstruction and Its Role in Cardiothoracic Computed Tomography
    Singh, Sarabjeet
    Khawaja, Ranish Deedar Ali
    Pourjabbar, Sarvenaz
    Padole, Atul
    Lira, Diego
    Kalra, Mannudeep K.
    JOURNAL OF THORACIC IMAGING, 2013, 28 (06) : 355 - 367
  • [2] Iterative image reconstruction techniques: Applications for cardiac CT
    Renker, Matthias
    Ramachandra, Ashok
    Schoepf, U. Joseph
    Raupach, Rainer
    Apfaltrer, Paul
    Rowe, Garrett W.
    Vogt, Sebastian
    Flohr, Thomas G.
    Kerl, J. Matthias
    Bauer, Ralf W.
    Fink, Christian
    Henzler, Thomas
    JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 2011, 5 (04) : 225 - 230
  • [3] Iterative reconstruction techniques for computed tomography Part 1: Technical principles
    Willemink, Martin J.
    de Jong, Pim A.
    Leiner, Tim
    de Heer, Linda M.
    Nievelstein, Rutger A. J.
    Budde, Ricardo P. J.
    Schilham, Arnold M. R.
    EUROPEAN RADIOLOGY, 2013, 23 (06) : 1623 - 1631
  • [4] Pushing the Envelope New Computed Tomography Techniques for Cardiothoracic Imaging
    Flohr, Thomas G.
    Klotz, Ernst
    Allmendinger, Thomas
    Raupach, Rainer
    Bruder, Herbert
    Schmidt, Bernhard
    JOURNAL OF THORACIC IMAGING, 2010, 25 (02) : 100 - 111
  • [5] Iterative reconstruction techniques for computed tomography part 2: initial results in dose reduction and image quality
    Willemink, Martin J.
    Leiner, Tim
    de Jong, Pim A.
    de Heer, Linda M.
    Nievelstein, Rutger A. J.
    Schilham, Arnold M. R.
    Budde, Ricardo P. J.
    EUROPEAN RADIOLOGY, 2013, 23 (06) : 1632 - 1642
  • [6] Spatial resolution measurement for iterative reconstruction by use of image-averaging techniques in computed tomography
    Urikura A.
    Ichikawa K.
    Hara T.
    Nishimaru E.
    Nakaya Y.
    Radiological Physics and Technology, 2014, 7 (2) : 358 - 366
  • [7] Bifurcation analysis of iterative image reconstruction method for computed tomography
    Yoshinaga, Tetsuya
    Imakura, Yoshihiro
    Fujimoto, Ken'ichi
    Ueta, Tetsushi
    INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2008, 18 (04): : 1219 - 1225
  • [8] Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction
    Ichikawa, Yasutaka
    Kanii, Yoshinori
    Yamazaki, Akio
    Nagasawa, Naoki
    Nagata, Motonori
    Ishida, Masaki
    Kitagawa, Kakuya
    Sakuma, Hajime
    JAPANESE JOURNAL OF RADIOLOGY, 2021, 39 (06) : 598 - 604
  • [9] Iterative reconstruction techniques for computed tomography part 2: initial results in dose reduction and image quality
    Martin J. Willemink
    Tim Leiner
    Pim A. de Jong
    Linda M. de Heer
    Rutger A. J. Nievelstein
    Arnold M. R. Schilham
    Ricardo P. J. Budde
    European Radiology, 2013, 23 : 1632 - 1642
  • [10] Iterative reconstruction techniques for computed tomography Part 1: Technical principles
    Martin J. Willemink
    Pim A. de Jong
    Tim Leiner
    Linda M. de Heer
    Rutger A. J. Nievelstein
    Ricardo P. J. Budde
    Arnold M. R. Schilham
    European Radiology, 2013, 23 : 1623 - 1631