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The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography.
Int J Cardiovasc Imaging. 2013 Dec; 29(8):1879-88.IJ

Abstract

To evaluate the effect of adaptive statistical (ASIR) and model based (MBIR) iterative reconstruction algorithms on the feasibility of automated plaque assessment in coronary computed tomography angiography (CCTA) compared to filtered back projection reconstruction (FBPR) algorithm. Three ex vivo human donor hearts were imaged by CCTA and reconstructed with FBPR, ASIR and MBIR. Commercial plaque assessment software was applied for the automated delineation of the outer and inner vessel-wall boundaries. Manually corrections were performed where necessary and the percentages were compared between the reconstruction algorithms. In total 2,295 CCTA cross-sections with 0.5 mm increments were assessed (765 co-registered FBPR/ASIR/MBIR triplets). Any boundary corrections were performed in 31.0% of all cross-sections (N = 712). The percentage of corrected crosssections was lower for MBIR (24.1%) as compared to ASIR (32.4%, p = 0.0003) and FBPR (36.6%, p <0.0001), and marginal between ASIR/FBPR (p = 0.09). The benefit of MBIR over FBPR was associated with the presence of moderate and severe calcification (OR 2.9 and 5.7, p <0.0001; respectively). Using MBIR significantly reduced the need for vessel-wall boundary corrections compared to other reconstruction algorithms, particular at the site of calcifications. Thus, MBIR may improve the feasibility of automated plaque assessment in CCTA and potentially its clinical applicability.

Authors+Show Affiliations

Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 165 Cambridge Street, Boston, MA, 02114, USA, sbpuchner@partners.org.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23990390

Citation

Puchner, Stefan B., et al. "The Effect of Iterative Image Reconstruction Algorithms On the Feasibility of Automated Plaque Assessment in Coronary CT Angiography." The International Journal of Cardiovascular Imaging, vol. 29, no. 8, 2013, pp. 1879-88.
Puchner SB, Ferencik M, Karolyi M, et al. The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography. Int J Cardiovasc Imaging. 2013;29(8):1879-88.
Puchner, S. B., Ferencik, M., Karolyi, M., Do, S., Maurovich-Horvat, P., Kauczor, H. U., Hoffmann, U., & Schlett, C. L. (2013). The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography. The International Journal of Cardiovascular Imaging, 29(8), 1879-88. https://doi.org/10.1007/s10554-013-0281-z
Puchner SB, et al. The Effect of Iterative Image Reconstruction Algorithms On the Feasibility of Automated Plaque Assessment in Coronary CT Angiography. Int J Cardiovasc Imaging. 2013;29(8):1879-88. PubMed PMID: 23990390.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography. AU - Puchner,Stefan B, AU - Ferencik,Maros, AU - Karolyi,Mihaly, AU - Do,Synho, AU - Maurovich-Horvat,Pal, AU - Kauczor,Hans-Ulrich, AU - Hoffmann,Udo, AU - Schlett,Christopher L, Y1 - 2013/08/30/ PY - 2013/06/25/received PY - 2013/08/21/accepted PY - 2013/8/31/entrez PY - 2013/8/31/pubmed PY - 2014/7/17/medline SP - 1879 EP - 88 JF - The international journal of cardiovascular imaging JO - Int J Cardiovasc Imaging VL - 29 IS - 8 N2 - To evaluate the effect of adaptive statistical (ASIR) and model based (MBIR) iterative reconstruction algorithms on the feasibility of automated plaque assessment in coronary computed tomography angiography (CCTA) compared to filtered back projection reconstruction (FBPR) algorithm. Three ex vivo human donor hearts were imaged by CCTA and reconstructed with FBPR, ASIR and MBIR. Commercial plaque assessment software was applied for the automated delineation of the outer and inner vessel-wall boundaries. Manually corrections were performed where necessary and the percentages were compared between the reconstruction algorithms. In total 2,295 CCTA cross-sections with 0.5 mm increments were assessed (765 co-registered FBPR/ASIR/MBIR triplets). Any boundary corrections were performed in 31.0% of all cross-sections (N = 712). The percentage of corrected crosssections was lower for MBIR (24.1%) as compared to ASIR (32.4%, p = 0.0003) and FBPR (36.6%, p <0.0001), and marginal between ASIR/FBPR (p = 0.09). The benefit of MBIR over FBPR was associated with the presence of moderate and severe calcification (OR 2.9 and 5.7, p <0.0001; respectively). Using MBIR significantly reduced the need for vessel-wall boundary corrections compared to other reconstruction algorithms, particular at the site of calcifications. Thus, MBIR may improve the feasibility of automated plaque assessment in CCTA and potentially its clinical applicability. SN - 1875-8312 UR - https://www.unboundmedicine.com/medline/citation/23990390/The_effect_of_iterative_image_reconstruction_algorithms_on_the_feasibility_of_automated_plaque_assessment_in_coronary_CT_angiography_ L2 - https://doi.org/10.1007/s10554-013-0281-z DB - PRIME DP - Unbound Medicine ER -