Comparison of 3D OS-EM and 4D MAP-RBI-EM Reconstruction Algorithms for Cardiac Motion Abnormality Classification Using a Motion Observer

Tang, Jing; Lee, Taek-Soo; He, Xin; Segars, W. Paul; Tsui, B.M.W.

doi:10.1109/tns.2010.2050604

Cited by 5 publications

(3 citation statements)

References 21 publications

(27 reference statements)

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“…Despite extensive research in other imaging modalities over the last two decades, MP ECT, especially gated SPECT and more recently PET, has continued to be the major biomedical imaging technique for the assessment of MP in clinical practice. The potential of extracting additional quantitative information, such as abnormalities from existing data without additional clinical studies, radiation dose or discomfort to the patients, has great significance in biomedical imaging [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Advances in 4D Gated Cardiac PET Imaging for Image Quality Improvement and Cardiac Motion and Contractility Estimation

Tsui¹,

Feng²,

Wang³

et al. 2016

Perspectives on Nuclear Medicine for Molecular Diagnosis and Integrated Therapy

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Quantitative four-dimensional (4D) image reconstruction methods with respiratory and cardiac motion compensation are an active area of research in ECT imaging, including SPECT and PET. They are the extensions of three-dimensional (3D) statistical image reconstruction methods with iterative algorithms that incorporate accurate models of the imaging process and provide significant improvement in the quality and quantitative accuracy of the reconstructed images as compared to that obtained from conventional analytical image reconstruction methods. The new 4D image reconstruction methods incorporate additional models of the respiratory and cardiac motion of the patient to reduce image blurring due to respiratory motion and image noise of the cardiac-gated frames of the 4D cardiac-gated images. We describe respiratory motion estimation and gating method based on patient PET listmode data. The estimated respiratory motion is applied to the respiratory gated data to reduce respiratory motion blur. The gated cardiac images derived from the listmodel data are used to estimate cardiac motion. They are then used in the cardiacgated images summing the motion-transformed cardiac-gated images for significant reduction in the gated images noise. Dual respiratory and cardiac motion compensation is achieved by combining the respiratory and cardiac motion compensation steps. The results are further significant improvements of the 4D gated cardiac PET images. The much improved gated cardiac PET image quality increases the visibility of anatomical details of the heart, which can be explored to provide more accurate estimation of the cardiac motion vector field and cardiac contractility.

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Section: Introductionmentioning

confidence: 99%

Advances in 4D Gated Cardiac PET Imaging for Image Quality Improvement and Cardiac Motion and Contractility Estimation

Tsui¹,

Feng²,

Wang³

et al. 2016

Perspectives on Nuclear Medicine for Molecular Diagnosis and Integrated Therapy

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“…However, evaluation of motion visibility is arguably different from detection of a signal in a random intensity background. For motion analysis, initial motion observers were proposed in [25]-[26], but these model observers are not specifically designed to correlate with a human observer. A more general approach to motion observers has been investigated by our group [27], but not directly in the context of cardiac SPECT.…”

Section: Introductionmentioning

confidence: 99%

Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images

Marin

Kalayeh

Parages

et al. 2014

IEEE Trans. Med. Imaging

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In medical imaging, the gold standard for image-quality assessment is a task-based approach in which one evaluates human observer performance for a given diagnostic task (e.g., detection of a myocardial perfusion or motion defect). To facilitate practical task-based image-quality assessment, model observers are needed as approximate surrogates for human observers. In cardiac-gated SPECT imaging, diagnosis relies on evaluation of the myocardial motion as well as perfusion. Model observers for the perfusion-defect detection task have been studied previously, but little effort has been devoted toward development of a model observer for cardiac-motion defect detection. In this work describe two model observers for predicting human observer performance in detection of cardiac-motion defects. Both proposed methods rely on motion features extracted using previously reported deformable mesh model for myocardium motion estimation. The first method is based on a Hotelling linear discriminant that is similar in concept to that used commonly for perfusion-defect detection. In the second method, based on relevance vector machines (RVM) for regression, we compute average human observer performance by first directly predicting individual human observer scores, and then using multi reader receiver operating characteristic (ROC) analysis. Our results suggest that the proposed RVM model observer can predict human observer performance accurately, while the new Hotelling motion-defect detector is somewhat less effective.

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“…For cardiac PET and SPECT studies, one of the primary goals of performing dynamic studies is to quantify the myocardial blood flow. The extended cardiac-torso (XCAT) phantom [1] is widely used in the simulation studies of medical imaging research of different modalities, especially in SPECT and PET studies [2–6]. Realistic human anatomic structure and cardiac and respiratory motion are modeled and fully adjustable through parameter files.…”

Section: Introductionmentioning

confidence: 99%

Development of a 4D digital phantom for tracer kinetic modeling and analysis of dynamic perfusion PET and SPECT simulation studies

Fung

Higuchi

Park

et al. 2011

2011 IEEE Nuclear Science Symposium Conference Record

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The goal is to develop a 4D digital perfusion cardiac-torso (PCAT) phantom, a tracer kinetic extension of the XCAT phantom, by modeling the time activity curves (TACs) of individual organ regions in the phantom for dynamic perfusion PET and SPECT simulation studies. The PCAT phantom is based on a generalized compartmental model, which accepts the blood input function, multiple series or parallel compartments, the bidirectional rate constants between the compartments, the blood volume in the tissue, the extraction curves, and other properties of a specific tracer. Based on the kinetic differential equations of the compartmental model, the TACs of the targeted organ regions were determined. For a specific time point, a voxelized anatomical realistic phantom, which with or without the cardiac and respiratory motions, was generated and the activity concentrations in the organ regions were assigned according to the corresponding TACs. According to the dynamic scanning protocol, multiple phantoms at different acquisition time points, which could have uniform or non-uniform time intervals, were generated. When combining the dynamic phantoms with realistic projection simulator, realistic dynamic projection data could be generated by easily adopting to various scanning protocols and imaging systems. With the availability of the “known truth”, the activity map of the targeted organ regions, the TACs, the estimated rate constants and other kinetic parameters, from the projection data and the reconstructed images could be quantitatively evaluated. We demonstrate the usefulness of the 4D PCAT phantom in initial simulation studies in dynamic myocardial perfusion PET imaging with different tracers. The PCAT phantom was found to be an important bridge between the creation of TACs and the generation of simulated projection data. It is a useful simulation tool to study different kinetic analysis methods, acquisition protocols, reconstruction methods, and imaging parameter settings.

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Comparison of 3D OS-EM and 4D MAP-RBI-EM Reconstruction Algorithms for Cardiac Motion Abnormality Classification Using a Motion Observer

Cited by 5 publications

References 21 publications

Advances in 4D Gated Cardiac PET Imaging for Image Quality Improvement and Cardiac Motion and Contractility Estimation

Advances in 4D Gated Cardiac PET Imaging for Image Quality Improvement and Cardiac Motion and Contractility Estimation

Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images

Development of a 4D digital phantom for tracer kinetic modeling and analysis of dynamic perfusion PET and SPECT simulation studies

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