The Effect of Misregistration Between CT-Attenuation and PET-Emission Images in 13N-Ammonia Myocardial PET/CT

In 2-dimensional cardiac PET/CT, misregistration between the PET and CT images due to respiratory and cardiac motion causes tracer uptake to appear substantially reduced. The resolution and quality of the images have been considerably improved by the use of 3-dimensional (3D) PET acquisitions. In the current study, we investigated the impact that misregistration between PET and CT images has on myocardial 13N-ammonia uptake in images reconstructed with 3D ordered-subset expectation maximization combined with time-of-flight and point-spread-function modeling. Methods: Eight healthy volunteers (7 men and 1 woman; mean age ± SD, 53 ± 19 y) underwent 13N-ammonia cardiac PET/CT at rest. First, any misregistration between the PET and CT images was manually corrected to generate reference images. Then, the images were intentionally misregistered by shifting the PET images from the reference images by a degree of 1, 2, 3, 4, 5, 10, and 15 mm along both the x-axis (left) and the z-axis (cranial). For each degree of misregistration, the PET images were reconstructed using the CT-attenuation images. The left ventricular short-axis PET/CT images were divided into 4 segments: anterior wall, inferior wall, lateral wall, and septum. The erroneous decrease in myocardial uptake in basal, mid, and apical slices was visually graded using a 4-point scale (0 = none, 1 = mild, 2 = moderate, and 3 = severe). Wall-to-septum uptake ratios were evaluated for the anterior, inferior, and lateral walls in the basal, mid, and apical slices. Results: A statistically significant reduction in myocardial 13N-ammonia uptake in the anterior (P < 0.01) and lateral (P < 0.05) walls was observed when misregistration was 10 mm or more. The uptake ratios for the anterior, lateral, and inferior walls in the reference images were 1.00 ± 0.04, 0.96 ± 0.08, and 0.91 ± 0.03, respectively. The ratios for the anterior and lateral walls significantly decreased when misregistration exceeded 10 mm (anterior wall, 0.80 ± 0.06, P < 0.0001; lateral wall, 0.82 ± 0.07, P < 0.01), whereas the ratio for the inferior wall was relatively small at all 7 degrees of misregistration (0.86 ± 0.05 at 15-mm misregistration, P = 0.06). Conclusion: In PET/CT images reconstructed with 3D ordered-subset expectation maximization combined with time-of-flight and point-spread-function modeling, we found a statistically significant artifactual reduction in tracer uptake in heart regions overlapping lung when misregistration between PET and CT exceeded 10 mm.

[1]  O. Mawlawi,et al.  Performance characteristics of a newly developed PET/CT scanner using NEMA standards in 2D and 3D modes. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[2]  S. Manson,et al.  Decreased Perfusion in the Lateral Wall of the Left Ventricle in PET/CT Studies with 13N-Ammonia: Evaluation in Healthy Adults , 2009, Journal of Nuclear Medicine Technology.

[3]  Carole Lartizien,et al.  A lesion detection observer study comparing 2-dimensional versus fully 3-dimensional whole-body PET imaging protocols. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[4]  R E Carson,et al.  Noise reduction in oncology FDG PET images by iterative reconstruction: a quantitative assessment. , 2001, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[5]  Nassir Navab,et al.  Artifacts from misaligned CT in cardiac perfusion PET/CT studies: frequency, effects, and potential solutions. , 2007, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[6]  D. Townsend,et al.  Physical and clinical performance of the mCT time-of-flight PET/CT scanner , 2011, Physics in medicine and biology.

[7]  D. Townsend,et al.  Impact of Time-of-Flight on PET Tumor Detection , 2009, Journal of Nuclear Medicine.

[8]  V. Bettinardi,et al.  Physical performance of the new hybrid PET∕CT Discovery-690. , 2011, Medical physics.

[9]  K. Gould,et al.  Clinical evaluation of a new concept: resting myocardial perfusion heterogeneity quantified by markovian analysis of PET identifies coronary microvascular dysfunction and early atherosclerosis in 1,034 subjects. , 2005, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[10]  J. Knuuti,et al.  Myocardial perfusion quantitation with 15O-labelled water PET: high reproducibility of the new cardiac analysis software (Carimas™) , 2009, European Journal of Nuclear Medicine and Molecular Imaging.

[11]  Stephen L. Bacharach,et al.  PET/CT imaging: Effect of respiratory motion on apparent myocardial uptake , 2006, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

[12]  Suleman Surti,et al.  Update on Time-of-Flight PET Imaging , 2015, The Journal of Nuclear Medicine.

[13]  Hee-Joung Kim,et al.  Performance measurement of PSF modeling reconstruction (True X) on Siemens Biograph TruePoint TrueV PET/CT , 2014, Annals of Nuclear Medicine.

[14]  Tinsu Pan,et al.  Frequent Diagnostic Errors in Cardiac PET/CT Due to Misregistration of CT Attenuation and Emission PET Images: A Definitive Analysis of Causes, Consequences, and Corrections , 2007, Journal of Nuclear Medicine.

[15]  Shingo Baba,et al.  Influences of point-spread function and time-of-flight reconstructions on standardized uptake value of lymph node metastases in FDG-PET. , 2014, European journal of radiology.

[16]  The usefulness of fully three-dimensional OSEM algorithm on lymph node metastases from lung cancer with 18F-FDG PET/CT , 2011, Annals of nuclear medicine.

[17]  Carole Lartizien,et al.  Optimization of injected dose based on noise equivalent count rates for 2- and 3-dimensional whole-body PET. , 2002, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[18]  Valentino Bettinardi,et al.  Performance evaluation of the new whole-body PET/CT scanner: Discovery ST , 2004, European Journal of Nuclear Medicine and Molecular Imaging.

[19]  Cyrill Burger,et al.  CT attenuation correction for myocardial perfusion quantification using a PET/CT hybrid scanner. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[20]  N. Mullani,et al.  Frequency and clinical implications of fluid dynamically significant diffuse coronary artery disease manifest as graded, longitudinal, base-to-apex myocardial perfusion abnormalities by noninvasive positron emission tomography. , 2000, Circulation.

[21]  Frank M. Bengel,et al.  CT-based attenuation correction in 82Rb-myocardial perfusion PET–CT: incidence of misalignment and effect on regional tracer distribution , 2008, European Journal of Nuclear Medicine and Molecular Imaging.

[22]  Catalin Loghin,et al.  Common artifacts in PET myocardial perfusion images due to attenuation-emission misregistration: clinical significance, causes, and solutions. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[23]  Suleman Surti,et al.  Benefit of Time-of-Flight in PET: Experimental and Clinical Results , 2008, Journal of Nuclear Medicine.

[24]  J. Karp,et al.  Performance of Philips Gemini TF PET/CT scanner with special consideration for its time-of-flight imaging capabilities. , 2007, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[25]  Vladimir Y. Panin,et al.  Fully 3-D PET reconstruction with system matrix derived from point source measurements , 2006, IEEE Transactions on Medical Imaging.

[26]  R. Wahl,et al.  Cardiac PET/CT Misregistration Causes Significant Changes in Estimated Myocardial Blood Flow , 2013, The Journal of Nuclear Medicine.