Estimation of images and nonrigid deformations in gated emission CT

Mair, B.A.; Gilland, D.R.; Sun, Jing

doi:10.1109/tmi.2006.879323

Cited by 59 publications

(54 citation statements)

References 31 publications

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“…It can be broadly sub-classified into two categories: those that use a different image estimate for each frame [10]- [12], and those that use a common image estimate for all frames [13].…”

Section: Introductionmentioning

confidence: 99%

Joint Reconstruction of Image and Motion in Gated Positron Emission Tomography

Blume

Martínez-Möller

Keil

et al. 2010

IEEE Trans. Med. Imaging

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Abstract-We present a novel method for joint reconstruction of both image and motion in positron-emission-tomography (PET). Most other methods separate image from motion estimation: They use deformable image registration/optical flow techniques in order to estimate the motion from individually reconstructed gates. Then, the image is estimated based on this motion information. With these methods, a main problem lies in the motion estimation step, which is based on the noisy gated frames. The more noise is present, the more inaccurate the image registration becomes.As we show in a simulation study, our joint reconstruction approach overcomes these drawbacks and results in both visually and quantitatively better image quality. We attribute these results to the fact that for motion estimation always the currently best available image estimate is used and vice versa. Additionally, results for real dual respiratory and cardiac gated patient data are presented.

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“…It can be broadly sub-classified into two categories: those that use a different image estimate for each frame [10]- [12], and those that use a common image estimate for all frames [13].…”

Section: Introductionmentioning

confidence: 99%

Joint Reconstruction of Image and Motion in Gated Positron Emission Tomography

Blume

Martínez-Möller

Keil

et al. 2010

IEEE Trans. Med. Imaging

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“…The second method is to design a temporal regularizer that encourages two motion-corrected gated images to be the same [94], called motion-compensated temporal regularizer (MTR) [92,93]. This temporal regularizer can be incorporated into Eq.…”

Section: Anatomical Information For Motion Compensation Mathematical mentioning

confidence: 99%

The Use of Anatomical Information for Molecular Image Reconstruction Algorithms: Attenuation/Scatter Correction, Motion Compensation, and Noise Reduction

Chun

2016

Nucl Med Mol Imaging

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PET and SPECT are important tools for providing valuable molecular information about patients to clinicians. Advances in nuclear medicine hardware technologies and statistical image reconstruction algorithms enabled significantly improved image quality. Sequentially or simultaneously acquired anatomical images such as CT and MRI from hybrid scanners are also important ingredients for improving the image quality of PET or SPECT further. High-quality anatomical information has been used and investigated for attenuation and scatter corrections, motion compensation, and noise reduction via post-reconstruction filtering and regularization in inverse problems. In this article, we will review works using anatomical information for molecular image reconstruction algorithms for better image quality by describing mathematical models, discussing sources of anatomical information for different cases, and showing some examples.

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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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Estimation of images and nonrigid deformations in gated emission CT

Cited by 59 publications

References 31 publications

Joint Reconstruction of Image and Motion in Gated Positron Emission Tomography

Joint Reconstruction of Image and Motion in Gated Positron Emission Tomography

The Use of Anatomical Information for Molecular Image Reconstruction Algorithms: Attenuation/Scatter Correction, Motion Compensation, and Noise Reduction

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

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