A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography

Lehtonen, Eero; Teuho, Jarmo; Koskinen, Juho; Tadi, Mojtaba Jafari; Клен, Рику; Siekkinen, Reetta; Gambin, Joaquin Rives; Vasankari, Tuija; Saraste, Antti

doi:10.3390/s21123983

Cited by 5 publications

(8 citation statements)

References 33 publications

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“…As it is a sensitive, accurate, and low-cost method, it can also make multiple measurements across the body. It was found it was able to achieve a mean absolute breathing error rate of 0.44 per minute and a low amplitude error of 0.24 cm (35). However, one of the inherent drawbacks of IMU's is the sensor's susceptibility to accumulating error over time.…”

Section: Respiratory Motionmentioning

confidence: 99%

Motion-correction strategies for enhancing whole-body PET imaging

Wang,

Bermudez,

Chen

et al. 2024

Front. Nucl. Med.

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Positron Emission Tomography (PET) is a powerful medical imaging modality widely used for detection and monitoring of disease. However, PET imaging can be adversely affected by patient motion, leading to degraded image quality and diagnostic capability. Hence, motion gating schemes have been developed to monitor various motion sources including head motion, respiratory motion, and cardiac motion. The approaches for these techniques have commonly come in the form of hardware-driven gating and data-driven gating, where the distinguishing aspect is the use of external hardware to make motion measurements vs. deriving these measures from the data itself. The implementation of these techniques help corrects for motion artifacts and improve tracer uptake measurements. With the great impact that these methods have on the diagnostic and quantitative quality of PET images, much research has been performed in this area and this paper outlines the various approaches that have been developed as applied to whole-body PET imaging.

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Section: Respiratory Motionmentioning

confidence: 99%

Motion-correction strategies for enhancing whole-body PET imaging

Wang,

Bermudez,

Chen

et al. 2024

Front. Nucl. Med.

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“…To evaluate myocardial a v b 3 integrin expression, patients underwent [ 15 O]O-water PET followed by [ 68 Ga]Ga-NODAGA-RGD PET within 3 to 14 d after AMI. To evaluate LV function, echocardiography was performed at baseline on the day of PET imaging and at the 6-mo follow-up.…”

Section: Study Cohort and Designmentioning

confidence: 99%

Imaging of Myocardial α_vβ₃Integrin Expression for Evaluation of Myocardial Injury After Acute Myocardial Infarction

Nammas,

Paunonen,

Teuho

et al. 2023

J Nucl Med

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Ga-NODAGA-Arg-Gly-Asp (RGD) is a PET tracer targeting a v b 3 integrin, which is upregulated during angiogenesis soon after acute myocardial infarction (AMI). We prospectively evaluated determinants of myocardial uptake of [ 68 Ga]Ga-NODAGA-RGD and its associations with left ventricular (LV) function in patients after AMI. Methods: Myocardial blood flow and [ 68 Ga]Ga-NODAGA-RGD uptake (60 min after injection) were evaluated by PET in 31 patients 7.7 6 3.8 d after primary percutaneous coronary intervention for ST-elevation AMI. Transthoracic echocardiography of LV function was performed on the day of PET and at the 6-mo follow-up. Results: PET images showed increased uptake of [ 68 Ga]Ga-NODAGA-RGD in the ischemic area at risk (AAR), predominantly in injured myocardial segments. The SUV in the segment with the highest uptake (SUV max ) in the ischemic AAR was higher than the SUV mean of the remote myocardium (0.73 6 0.16 vs. 0.51 6 0.11, P , 0.001). Multivariable predictors of [ 68 Ga]Ga-NODAGA-RGD uptake in the AAR included high peak N-terminal pro-B-type natriuretic peptide (P , 0.001), low LV ejection fraction, low global longitudinal strain (P 5 0.01), and low longitudinal strain in the AAR (P 5 0.01). [ 68 Ga]Ga-NODAGA-RGD uptake corrected for myocardial blood flow and perfusable tissue fraction in the AAR predicted improvement in global longitudinal strain at follow-up (P 5 0.002), independent of peak troponin, N-terminal pro-B-type natriuretic peptide, and LV ejection fraction. Conclusion: [ 68 Ga]Ga-NODAGA-RGD uptake shows increased a v b 3 integrin expression in the ischemic AAR early after AMI that is associated with regional and global systolic dysfunction, as well as increased LV filling pressure. Increased [ 68 Ga]Ga-NODAGA-RGD uptake predicts improvement of global LV function 6 mo after AMI.

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“…In the last decades, there has been fervent research activity aimed at the development and validation of mechanical sensors for cardiac and respiratory monitoring [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ]. As an example, mechanical sensors have been proposed to acquire respiratory signals, both for physiological monitoring [ 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ] and for respiratory-gating applications in medical imaging [ 35 , 36 , 37 , 38 ]. Concerning the monitoring of cardiac mechanical functions, various techniques have been proposed since the late 19th century [ 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ].…”

Section: Introductionmentioning

confidence: 99%

Changes in Forcecardiography Heartbeat Morphology Induced by Cardio-Respiratory Interactions

Centracchio

Esposito

Andreozzi

2022

Sensors

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The cardiac function is influenced by respiration. In particular, various parameters such as cardiac time intervals and the stroke volume are modulated by respiratory activity. It has long been recognized that cardio-respiratory interactions modify the morphology of cardio-mechanical signals, e.g., phonocardiogram, seismocardiogram (SCG), and ballistocardiogram. Forcecardiography (FCG) records the weak forces induced on the chest wall by the mechanical activity of the heart and lungs and relies on specific force sensors that are capable of monitoring respiration, infrasonic cardiac vibrations, and heart sounds, all simultaneously from a single site on the chest. This study addressed the changes in FCG heartbeat morphology caused by respiration. Two respiratory-modulated parameters were considered, namely the left ventricular ejection time (LVET) and a morphological similarity index (MSi) between heartbeats. The time trends of these parameters were extracted from FCG signals and further analyzed to evaluate their consistency within the respiratory cycle in order to assess their relationship with the breathing activity. The respiratory acts were localized in the time trends of the LVET and MSi and compared with a reference respiratory signal by computing the sensitivity and positive predictive value (PPV). In addition, the agreement between the inter-breath intervals estimated from the LVET and MSi and those estimated from the reference respiratory signal was assessed via linear regression and Bland–Altman analyses. The results of this study clearly showed a tight relationship between the respiratory activity and the considered respiratory-modulated parameters. Both the LVET and MSi exhibited cyclic time trends that remarkably matched the reference respiratory signal. In addition, they achieved a very high sensitivity and PPV (LVET: 94.7% and 95.7%, respectively; MSi: 99.3% and 95.3%, respectively). The linear regression analysis reported almost unit slopes for both the LVET (R2 = 0.86) and MSi (R2 = 0.97); the Bland–Altman analysis reported a non-significant bias for both the LVET and MSi as well as limits of agreement of ±1.68 s and ±0.771 s, respectively. In summary, the results obtained were substantially in line with previous findings on SCG signals, adding to the evidence that FCG and SCG signals share a similar information content.

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A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography

Cited by 5 publications

References 33 publications

Motion-correction strategies for enhancing whole-body PET imaging

Motion-correction strategies for enhancing whole-body PET imaging

Imaging of Myocardial α_vβ₃Integrin Expression for Evaluation of Myocardial Injury After Acute Myocardial Infarction

Changes in Forcecardiography Heartbeat Morphology Induced by Cardio-Respiratory Interactions

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A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography

Cited by 5 publications

References 33 publications

Motion-correction strategies for enhancing whole-body PET imaging

Motion-correction strategies for enhancing whole-body PET imaging

Imaging of Myocardial αvβ3Integrin Expression for Evaluation of Myocardial Injury After Acute Myocardial Infarction

Changes in Forcecardiography Heartbeat Morphology Induced by Cardio-Respiratory Interactions

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Imaging of Myocardial α_vβ₃Integrin Expression for Evaluation of Myocardial Injury After Acute Myocardial Infarction