Standard

Artefacts reduction in cardiac SPECT images by using a novel reconstruction algorithm Maximum a Posteriori with local regularization. / Denisova, N.; Ansheles, A.; Sergienko, V. et al.

In: European journal of nuclear medicine and molecular imaging, Vol. 46, No. SUPPL 1, 10.2019, p. S62-S63.

Research output: Contribution to journalMeeting Abstractpeer-review

Harvard

Denisova, N, Ansheles, A, Sergienko, V, Kertesz, H, Beyer, T & Kolinko, I 2019, 'Artefacts reduction in cardiac SPECT images by using a novel reconstruction algorithm Maximum a Posteriori with local regularization', European journal of nuclear medicine and molecular imaging, vol. 46, no. SUPPL 1, pp. S62-S63.

APA

Denisova, N., Ansheles, A., Sergienko, V., Kertesz, H., Beyer, T., & Kolinko, I. (2019). Artefacts reduction in cardiac SPECT images by using a novel reconstruction algorithm Maximum a Posteriori with local regularization. European journal of nuclear medicine and molecular imaging, 46(SUPPL 1), S62-S63.

Vancouver

Denisova N, Ansheles A, Sergienko V, Kertesz H, Beyer T, Kolinko I. Artefacts reduction in cardiac SPECT images by using a novel reconstruction algorithm Maximum a Posteriori with local regularization. European journal of nuclear medicine and molecular imaging. 2019 Oct;46(SUPPL 1):S62-S63.

Author

Denisova, N. ; Ansheles, A. ; Sergienko, V. et al. / Artefacts reduction in cardiac SPECT images by using a novel reconstruction algorithm Maximum a Posteriori with local regularization. In: European journal of nuclear medicine and molecular imaging. 2019 ; Vol. 46, No. SUPPL 1. pp. S62-S63.

BibTeX

@article{b7a2945fc3514401b3f830ff1b0febeb,
title = "Artefacts reduction in cardiac SPECT images by using a novel reconstruction algorithm Maximum a Posteriori with local regularization",
abstract = "Clinical methods are limited in studying the causes of artefacts associated with mathematical aspects of reconstruction algorithms and methods. In this work, a novel Maximum a Posteriori (MAP) reconstruction algorithm with local regularization is developed to increase the resolution and to improve the quality of reconstructed images. The aim of this work is to evaluate the proposed algorithm in artefacts reduction in cardiac SPECT imaging. Materials and Methods: Joint clinical and simulation studies are performed. A special mathematical model of torso (MMT) was designed which plays the role of virtual patient and models spatial distribution of 99mTc-MIBI in thoracic organs. The MMT is easy transformed to study patients with various constitutions and different myocardial left ventricle (LV) forms. MMT was sampled on grids 128*128*128 and 64*64*64. Computer simulations of the SPECT/CT myocardial perfusion imaging (MPI) procedure were performed. Projection (raw) data were calculated for 32 and 64 angular views over an arc extending from the right anterior oblique to the left posterior oblique in accordance with acquisition protocol of MPI SPECT. Standard OSEM and a novel MAP reconstruction algorithm with local regularization were applied for images reconstruction. Two types of artefacts were studied: false apical defects and artefacts of extra-cardiac activity. The simulation results were verified by comparing to the clinical data. Clinical MPI studies were performed in the National Medical Research Center of Cardiology (Moscow) by using the Philips Bright View XCT SPECT/CT hybrid system with lowenergy high-resolution (LEHR) collimator. Results: The results of simulations have shown that the cause of false apical defects is not associated with attenuation correction, as it was discussed in some clinical studies, but it is related to the LV form and to the limitations of the standard OSEM reconstruction algorithm. Severity of false apical defects was decreased by 10-15% using the proposed MAP algorithm. It is shown that extra-cardiac activity artifacts are reduced by using the MAP algorithm with local regularization. Conclusion: Joint clinical and simulation studies in nuclear cardiology may be considered as a firstline approach in analyzing sources of possible artifacts and pitfalls. The proposed MAP algorithm with local regularization has shown as a promising approach to improve resolution of reconstructed images and to reduce artefacts in cardiac SPECT images",
author = "N. Denisova and A. Ansheles and V. Sergienko and H. Kertesz and T. Beyer and I. Kolinko",
year = "2019",
month = oct,
language = "English",
volume = "46",
pages = "S62--S63",
journal = "European journal of nuclear medicine and molecular imaging",
issn = "1619-7070",
publisher = "Springer Gabler",
number = "SUPPL 1",
note = "32nd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) ; Conference date: 12-10-2019 Through 16-10-2019",

}

RIS

TY - JOUR

T1 - Artefacts reduction in cardiac SPECT images by using a novel reconstruction algorithm Maximum a Posteriori with local regularization

AU - Denisova, N.

AU - Ansheles, A.

AU - Sergienko, V.

AU - Kertesz, H.

AU - Beyer, T.

AU - Kolinko, I.

PY - 2019/10

Y1 - 2019/10

N2 - Clinical methods are limited in studying the causes of artefacts associated with mathematical aspects of reconstruction algorithms and methods. In this work, a novel Maximum a Posteriori (MAP) reconstruction algorithm with local regularization is developed to increase the resolution and to improve the quality of reconstructed images. The aim of this work is to evaluate the proposed algorithm in artefacts reduction in cardiac SPECT imaging. Materials and Methods: Joint clinical and simulation studies are performed. A special mathematical model of torso (MMT) was designed which plays the role of virtual patient and models spatial distribution of 99mTc-MIBI in thoracic organs. The MMT is easy transformed to study patients with various constitutions and different myocardial left ventricle (LV) forms. MMT was sampled on grids 128*128*128 and 64*64*64. Computer simulations of the SPECT/CT myocardial perfusion imaging (MPI) procedure were performed. Projection (raw) data were calculated for 32 and 64 angular views over an arc extending from the right anterior oblique to the left posterior oblique in accordance with acquisition protocol of MPI SPECT. Standard OSEM and a novel MAP reconstruction algorithm with local regularization were applied for images reconstruction. Two types of artefacts were studied: false apical defects and artefacts of extra-cardiac activity. The simulation results were verified by comparing to the clinical data. Clinical MPI studies were performed in the National Medical Research Center of Cardiology (Moscow) by using the Philips Bright View XCT SPECT/CT hybrid system with lowenergy high-resolution (LEHR) collimator. Results: The results of simulations have shown that the cause of false apical defects is not associated with attenuation correction, as it was discussed in some clinical studies, but it is related to the LV form and to the limitations of the standard OSEM reconstruction algorithm. Severity of false apical defects was decreased by 10-15% using the proposed MAP algorithm. It is shown that extra-cardiac activity artifacts are reduced by using the MAP algorithm with local regularization. Conclusion: Joint clinical and simulation studies in nuclear cardiology may be considered as a firstline approach in analyzing sources of possible artifacts and pitfalls. The proposed MAP algorithm with local regularization has shown as a promising approach to improve resolution of reconstructed images and to reduce artefacts in cardiac SPECT images

AB - Clinical methods are limited in studying the causes of artefacts associated with mathematical aspects of reconstruction algorithms and methods. In this work, a novel Maximum a Posteriori (MAP) reconstruction algorithm with local regularization is developed to increase the resolution and to improve the quality of reconstructed images. The aim of this work is to evaluate the proposed algorithm in artefacts reduction in cardiac SPECT imaging. Materials and Methods: Joint clinical and simulation studies are performed. A special mathematical model of torso (MMT) was designed which plays the role of virtual patient and models spatial distribution of 99mTc-MIBI in thoracic organs. The MMT is easy transformed to study patients with various constitutions and different myocardial left ventricle (LV) forms. MMT was sampled on grids 128*128*128 and 64*64*64. Computer simulations of the SPECT/CT myocardial perfusion imaging (MPI) procedure were performed. Projection (raw) data were calculated for 32 and 64 angular views over an arc extending from the right anterior oblique to the left posterior oblique in accordance with acquisition protocol of MPI SPECT. Standard OSEM and a novel MAP reconstruction algorithm with local regularization were applied for images reconstruction. Two types of artefacts were studied: false apical defects and artefacts of extra-cardiac activity. The simulation results were verified by comparing to the clinical data. Clinical MPI studies were performed in the National Medical Research Center of Cardiology (Moscow) by using the Philips Bright View XCT SPECT/CT hybrid system with lowenergy high-resolution (LEHR) collimator. Results: The results of simulations have shown that the cause of false apical defects is not associated with attenuation correction, as it was discussed in some clinical studies, but it is related to the LV form and to the limitations of the standard OSEM reconstruction algorithm. Severity of false apical defects was decreased by 10-15% using the proposed MAP algorithm. It is shown that extra-cardiac activity artifacts are reduced by using the MAP algorithm with local regularization. Conclusion: Joint clinical and simulation studies in nuclear cardiology may be considered as a firstline approach in analyzing sources of possible artifacts and pitfalls. The proposed MAP algorithm with local regularization has shown as a promising approach to improve resolution of reconstructed images and to reduce artefacts in cardiac SPECT images

UR - https://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=4&SID=D6rTq4AR6huSB9fIxpd&page=1&doc=1

UR - https://elibrary.ru/item.asp?id=41154760

M3 - Meeting Abstract

VL - 46

SP - S62-S63

JO - European journal of nuclear medicine and molecular imaging

JF - European journal of nuclear medicine and molecular imaging

SN - 1619-7070

IS - SUPPL 1

T2 - 32nd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM)

Y2 - 12 October 2019 through 16 October 2019

ER -

ID: 23386132