Effect of Attenuation Correction on Regional Quantification Between PET/MR and PET/CT: A Multicenter Study Using a 3-Dimensional Brain Phantom

Abstract Background Cardiac PET has recently found novel applications in coronary atherosclerosis imaging using [18F]NaF as a radiotracer, highlighting vulnerable plaques. However, the resulting uptakes are relatively small, and cardiac motion and respiration-induced movement of the heart can impair the reconstructed images due to motion blurring and attenuation correction mismatches. This study aimed to apply an MR-based motion compensation framework to [18F]NaF data yielding high-resolution motion-compensated PET and MR images. Methods Free-breathing 3-dimensional Dixon MR data were acquired, retrospectively binned into multiple respiratory and cardiac motion states, and split into fat and water fraction using a model-based reconstruction framework. From the dynamic MR reconstructions, both a non-rigid cardiorespiratory motion model and a motion-resolved attenuation map were generated and applied to the PET data to improve image quality. The approach was tested in 10 patients and focal tracer hotspots were evaluated concerning their target-to-background ratio, contrast-to-background ratio, and their diameter. Results MR-based motion models were successfully applied to compensate for physiological motion in both PET and MR. Target-to-background ratios of identified plaques improved by 7 ± 7%, contrast-to-background ratios by 26 ± 38%, and the plaque diameter decreased by −22 ± 18%. MR-based dynamic attenuation correction strongly reduced attenuation correction artefacts and was not affected by stent-related signal voids in the underlying MR reconstructions. Conclusions The MR-based motion correction framework presented here can improve the target-to-background, contrast-to-background, and width of focal tracer hotspots in the coronary system. The dynamic attenuation correction could effectively mitigate the risk of attenuation correction artefacts in the coronaries at the lung-soft tissue boundary. In combination, this could enable a more reproducible and reliable plaque localisation.

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Anatomic Evaluation of 3-Dimensional Ultrashort-Echo-Time Bone Maps for PET/MR Attenuation Correction

Journal of Nuclear Medicine ◽

10.2967/jnumed.113.130880 ◽

2014 ◽

Vol 55 (5) ◽

pp. 780-785 ◽

Cited By ~ 40

Author(s):

G. Delso ◽

M. Carl ◽

F. Wiesinger ◽

L. Sacolick ◽

M. Porto ◽

...

Keyword(s):

Attenuation Correction ◽

Ultrashort Echo Time ◽

3 Dimensional ◽

Echo Time

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Method for transforming CT images for attenuation correction in PET/CT imaging

Medical Physics ◽

10.1118/1.2174132 ◽

2006 ◽

Vol 33 (4) ◽

pp. 976-983 ◽

Cited By ~ 158

Author(s):

Jonathan P. J. Carney ◽

David W. Townsend ◽

Vitaliy Rappoport ◽

Bernard Bendriem

Keyword(s):

Attenuation Correction ◽

Ct Images ◽

Ct Imaging ◽

Pet Ct

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Comparison of liver SUV using unenhanced CT versus contrast-enhanced CT for attenuation correction in 18F-FDG PET/CT

Nuclear Medicine Communications ◽

10.1097/mnm.0000000000000086 ◽

2014 ◽

Vol 35 (5) ◽

pp. 472-477 ◽

Cited By ~ 3

Author(s):

Edwin E.G.W. ter Voert ◽

Hanneke W.M. van Laarhoven ◽

Peter J.M. Kok ◽

Wim J.G. Oyen ◽

Eric P. Visser ◽

...

Keyword(s):

Attenuation Correction ◽

Fdg Pet ◽

Unenhanced Ct ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Pet Ct ◽

Enhanced Ct ◽

18F Fdg ◽

Fdg Pet Ct

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Reducing Radiation Dose in Rest-Stress Cardiac PET/CT by Single Poststress Cine CT for Attenuation Correction: Quantitative Validation

Journal of Nuclear Medicine ◽

10.2967/jnumed.107.049163 ◽

2008 ◽

Vol 49 (5) ◽

pp. 738-745 ◽

Cited By ~ 29

Author(s):

K. L. Gould ◽

T. Pan ◽

C. Loghin ◽

N. P. Johnson ◽

S. Sdringola

Keyword(s):

Radiation Dose ◽

Attenuation Correction ◽

Cardiac Pet ◽

Pet Ct ◽

Quantitative Validation ◽

Cine Ct

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Design of respiration averaged CT for attenuation correction of the PET data from PET/CT

Medical Physics ◽

10.1118/1.2733810 ◽

2007 ◽

Vol 34 (6Part1) ◽

pp. 2039-2047 ◽

Cited By ~ 30

Author(s):

Pai-Chun Melinda Chi ◽

Osama Mawlawi ◽

Sadek A. Nehmeh ◽

Yusuf E. Erdi ◽

Peter A. Balter ◽

...

Keyword(s):

Attenuation Correction ◽

Pet Ct

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PH-0040: A 6-point scale approach to 18F-FDG PET-CT for response assessment in HNSCC: a multicenter study

Radiotherapy and Oncology ◽

10.1016/s0167-8140(21)00066-9 ◽

2020 ◽

Vol 152 ◽

pp. S11-S12

Author(s):

P. Bonomo ◽

A. Merlotti ◽

S. Morbelli ◽

V. Berti ◽

C. Saieva ◽

...

Keyword(s):

Multicenter Study ◽

Fdg Pet ◽

Response Assessment ◽

Point Scale ◽

Pet Ct ◽

18F Fdg ◽

Fdg Pet Ct

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Comparison of standardized uptake values measured on 18F-NaF PET/CT scans using three different tube current intensities

Radiologia Brasileira ◽

10.1590/0100-3984.2014.0034 ◽

2015 ◽

Vol 48 (1) ◽

pp. 17-20 ◽

Cited By ~ 1

Author(s):

Agnes Araujo Valadares ◽

Paulo Schiavom Duarte ◽

Eduardo Bechtloff Woellner ◽

George Barberio Coura-Filho ◽

Marcelo Tatit Sapienza ◽

...

Keyword(s):

Attenuation Correction ◽

Lumbar Vertebra ◽

Ct Scans ◽

Femoral Diaphysis ◽

Standardized Uptake Values ◽

Pet Ct ◽

Tube Current ◽

The Mean ◽

Humeral Diaphysis ◽

Ct Studies

Objective: To analyze standardized uptake values (SUVs) using three different tube current intensities for attenuation correction on 18FNaF PET/CT scans. Materials and Methods: A total of 254 18F-NaF PET/CT studies were analyzed using 10, 20 and 30 mAs. The SUVs were calculated in volumes of interest (VOIs) drawn on three skeletal regions, namely, right proximal humeral diaphysis (RH), right proximal femoral diaphysis (RF), and first lumbar vertebra (LV1) in a total of 712 VOIs. The analyses covered 675 regions classified as normal (236 RH, 232 RF, and 207 LV1). Results: Mean SUV for each skeletal region was 3.8, 5.4 and 14.4 for RH, RF, and LV1, respectively. As the studies were grouped according to mAs value, the mean SUV values were 3.8, 3.9 and 3.7 for 10, 20 and 30 mAs, respectively, in the RH region; 5.4, 5.5 and 5.4 for 10, 20 and 30 mAs, respectively, in the RF region; 13.8, 14.9 and 14.5 for 10, 20 and 30 mAs, respectively, in the LV1 region. Conclusion: The three tube current values yielded similar results for SUV calculation.

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