Literature DB >> 29574494

Motion Correction and Its Impact on Absolute Myocardial Blood Flow Measures with PET.

Marina Piccinelli1, John R Votaw2,3, Ernest V Garcia2.   

Abstract

PURPOSE OF REVIEW: Motion artifacts, due to cardiac and respiratory cycles, myocardial cardiac creep, or gross patient movements, have been extensively investigated in the context of relative myocardial perfusion imaging with SPECT and PET. These movements have been identified as a major source of errors in image quantification and diagnosis. Recently, as dynamic PET quantification for myocardial blood flow assessment has entered clinical practice, similar questions have arisen on the impact of motion on final blood flow values. RECENT
FINDINGS: While preliminary investigations have underlined the potential impact of these motions on MBF quantification, their correction on dynamic acquisition remains challenging and limited to research studies. Gross patient's body movements occur in a consistent number of cases, particularly during stress acquisition, typically involving a limited number of image frames. If undetected, these movements can lead to great differences in flow values and consequently misdiagnosis. Quality control routines can be applied to automatically inspect the shape of time activity curves and to help identify motion artifacts. Cyclic cardiac and respiratory motion may have a considerable impact on final flow values. Correction of gross body motion represents a priority in the context of optimizing absolute flow clinical routine utilization and protocol standardization.

Entities:  

Keywords:  Body motion artifacts; Cardiac PET; Cardiac and respiratory artifacts; MBF quantification

Mesh:

Substances:

Year:  2018        PMID: 29574494     DOI: 10.1007/s11886-018-0977-8

Source DB:  PubMed          Journal:  Curr Cardiol Rep        ISSN: 1523-3782            Impact factor:   2.931


  40 in total

1.  "Motion-frozen" display and quantification of myocardial perfusion.

Authors:  Piotr J Slomka; Hidetaka Nishina; Daniel S Berman; Xingping Kang; Cigdem Akincioglu; John D Friedman; Sean W Hayes; Usaf E Aladl; Guido Germano
Journal:  J Nucl Med       Date:  2004-07       Impact factor: 10.057

2.  Displacement and velocity of the coronary arteries: cardiac and respiratory motion.

Authors:  Guy Shechter; Jon R Resar; Elliot R McVeigh
Journal:  IEEE Trans Med Imaging       Date:  2006-03       Impact factor: 10.048

3.  Motion estimation for cardiac emission tomography by optical flow methods.

Authors:  D R Gilland; B A Mair; J G Parker
Journal:  Phys Med Biol       Date:  2008-05-12       Impact factor: 3.609

4.  Multi-modal volume registration by maximization of mutual information.

Authors:  W M Wells; P Viola; H Atsumi; S Nakajima; R Kikinis
Journal:  Med Image Anal       Date:  1996-03       Impact factor: 8.545

5.  Cardiac PET/CT misregistration causes significant changes in estimated myocardial blood flow.

Authors:  Mahadevan Rajaram; Abdel K Tahari; Andy H Lee; Martin A Lodge; Benjamin Tsui; Stephan Nekolla; Richard L Wahl; Frank M Bengel; Paco E Bravo
Journal:  J Nucl Med       Date:  2012-10-22       Impact factor: 10.057

6.  Optimisation of reconstruction--reprojection-based motion correction for cardiac SPECT.

Authors:  Tuija S Kangasmaa; Antti O Sohlberg
Journal:  Ann Nucl Med       Date:  2014-03-06       Impact factor: 2.668

7.  Cardiac motion of coronary arteries: variability in the rest period and implications for coronary MR angiography.

Authors:  Y Wang; E Vidan; G W Bergman
Journal:  Radiology       Date:  1999-12       Impact factor: 11.105

8.  Automatic 3D registration of dynamic stress and rest (82)Rb and flurpiridaz F 18 myocardial perfusion PET data for patient motion detection and correction.

Authors:  Jonghye Woo; Balaji Tamarappoo; Damini Dey; Ryo Nakazato; Ludovic Le Meunier; Amit Ramesh; Joel Lazewatsky; Guido Germano; Daniel S Berman; Piotr J Slomka
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

9.  Comparison of clinical tools for measurements of regional stress and rest myocardial blood flow assessed with 13N-ammonia PET/CT.

Authors:  Piotr J Slomka; Erick Alexanderson; Rodrigo Jácome; Moises Jiménez; Edgar Romero; Aloha Meave; Ludovic Le Meunier; Magnus Dalhbom; Daniel S Berman; Guido Germano; Heinrich Schelbert
Journal:  J Nucl Med       Date:  2012-01-06       Impact factor: 10.057

10.  Dual cardiac-respiratory gated PET: implementation and results from a feasibility study.

Authors:  Axel Martinez-Möller; Darko Zikic; René M Botnar; Ralph A Bundschuh; William Howe; Sibylle I Ziegler; Nassir Navab; Markus Schwaiger; Stephan G Nekolla
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-02-21       Impact factor: 9.236

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  6 in total

1.  MR-based cardiac and respiratory motion correction of PET: application to static and dynamic cardiac 18F-FDG imaging.

Authors:  Y Petibon; T Sun; P K Han; C Ma; G El Fakhri; J Ouyang
Journal:  Phys Med Biol       Date:  2019-10-04       Impact factor: 3.609

Review 2.  Gating Approaches in Cardiac PET Imaging.

Authors:  Martin Lyngby Lassen; Jacek Kwiecinski; Piotr J Slomka
Journal:  PET Clin       Date:  2019-02-01

3.  No need for frame-wise attenuation correction in dynamic Rubidium-82 PET for myocardial blood flow quantification.

Authors:  J D van Dijk; P L Jager; J P Ottervanger; C H Slump; J A van Dalen
Journal:  J Nucl Cardiol       Date:  2019-02-21       Impact factor: 5.952

4.  Improved myocardial blood flow estimation with residual activity correction and motion correction in 18F-flurpiridaz PET myocardial perfusion imaging.

Authors:  Yuka Otaki; Serge D Van Kriekinge; Chih-Chun Wei; Paul Kavanagh; Ananya Singh; Tejas Parekh; Marcelo Di Carli; Jamshid Maddahi; Arkadiusz Sitek; Christopher Buckley; Daniel S Berman; Piotr J Slomka
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-12-30       Impact factor: 10.057

5.  EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging.

Authors:  Roberto Sciagrà; Mark Lubberink; Fabien Hyafil; Antti Saraste; Riemer H J A Slart; Denis Agostini; Carmela Nappi; Panagiotis Georgoulias; Jan Bucerius; Christoph Rischpler; Hein J Verberne
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-11-02       Impact factor: 9.236

6.  Dynamic cardiac PET motion correction using 3D normalized gradient fields in patients and phantom simulations.

Authors:  Jonathon A Nye; Marina Piccinelli; Doyeon Hwang; Charles David Cooke; Jin Chul Paeng; Joo Myung Lee; Sang-Geon Cho; Russell Folks; Hee-Seung Bom; Bon-Kwon Koo; Ernest V Garcia
Journal:  Med Phys       Date:  2021-07-20       Impact factor: 4.506

  6 in total

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