Literature DB >> 27535413

Usefulness of abdominal belt for restricting respiratory cardiac motion and improving image quality in myocardial perfusion PET.

Yasutaka Ichikawa1, Yoya Tomita2, Masaki Ishida2, Shigeki Kobayashi2, Kan Takeda2, Hajime Sakuma2.   

Abstract

BACKGROUND: The current study evaluated the usefulness of a belt technique for restricting respiratory motion of the heart and for improving image quality of 13N-ammonia myocardial PET/CT, and it assessed the tolerability of the belt technique in the clinical setting.
METHODS: Myocardial 13N-ammonia PET/CT scanning was performed in 8 volunteers on Discovery PET/CT 690 with an optical respiratory motion tracking system. Emission scans were performed with and without an abdominal belt. The amplitude of left ventricular (LV) respiratory motion was measured on respiratory-gated PET images. The degree of erroneous decreases in regional myocardial uptake was visually assessed on ungated PET images using a 5-point scale (0 = normal, 1/2/3 = mild/moderate/severe decrease, 4 = defect). The tolerability of the belt technique was evaluated in 53 patients.
RESULTS: All subjects tolerated the belt procedure. The amplitude of the LV respiratory motion decreased significantly with the belt (8.1 ± 7.1 vs 12.1 ± 6.1 mm, P = .0078). The belt significantly improved the image quality scores in the anterior (0.29 ± 0.81 vs 0.71 ± 1.04, P = .015) and inferior (0.33 ± 0.92 vs 1.04 ± 1.04, P < .0001) wall. No adverse events related to the belt technique were observed.
CONCLUSIONS: The belt technique restricts LV respiratory motion and improves the image quality of myocardial PET/CT, and it is well tolerated by patients.

Entities:  

Keywords:  N-13 ammonia; PET; PET/CT imaging; image artifacts; image quality

Mesh:

Substances:

Year:  2016        PMID: 27535413     DOI: 10.1007/s12350-016-0623-z

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  2 in total

1.  Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2018. Part 1 of 2: Positron emission tomography, computed tomography, and magnetic resonance.

Authors:  Wael A AlJaroudi; Fadi G Hage
Journal:  J Nucl Cardiol       Date:  2019-01-02       Impact factor: 5.952

2.  Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.

Authors:  Luyao Shi; Yihuan Lu; Nicha Dvornek; Christopher A Weyman; Edward J Miller; Albert J Sinusas; Chi Liu
Journal:  IEEE Trans Med Imaging       Date:  2021-11-30       Impact factor: 10.048

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.