Iterative image reconstruction techniques: cardiothoracic computed tomography applications.


Autoria(s): Cho Y.J.; Schoepf U.J.; Silverman J.R.; Krazinski A.W.; Canstein C.; Deak Z.; Grimm J.; Geyer L.L.
Data(s)

2014

Resumo

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.

Identificador

http://serval.unil.ch/?id=serval:BIB_59BCBC3C3067

isbn:1536-0237 (Electronic)

pmid:24662334

doi:10.1097/RTI.0000000000000041

isiid:000338769800005

Idioma(s)

en

Fonte

Journal of Thoracic Imaging, vol. 29, no. 4, pp. 198-208

Tipo

info:eu-repo/semantics/review

article