Impact of respiratory motion correction on SPECT myocardial perfusion imaging using a mechanically moving phantom assembly with variable cardiac defects

Polycarpou, Irene; Chrysanthou-Baustert, Isabelle; Demetriadou, Ourania; Parpottas, Yiannis; Panagidis, Christoforos; Marsden, Paul; Livieratos, Lefteris

doi:10.1007/s12350-015-0323-0

Cited by 18 publications

(22 citation statements)

References 17 publications

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“…In choosing the types of spatial transformation algorithms, assumptions on heart rigidity are generally made. In most cases, the heart is assumed to be a rigid body structure, where no changes or deformations occur from the time of imaging to the time of registration [ 79 , 104 , 154 – 164 ]. Rigid spatial transformation usually assumes the heart to be rigid with periodic heart motion throughout the imaging process.…”

Section: Implementation Strategymentioning

confidence: 99%

“…The rigid spatial transformation [ 79 , 104 , 154 – 164 ] in the registration framework is commonly used in clinical practice and is considered to be acceptable for reaching the correct diagnosis [ 151 ]. Although this hypothesis is valid in some surgical scenarios, the heart is indeed a nonrigid but dynamic structure.…”

Section: Implementation Strategymentioning

confidence: 99%

“…Meanwhile, nonrigid spatial transformation utilizes nonaffine registration algorithms [ 79 , 104 , 154 – 164 ]. In some cases, the nonaffine transformation is applied after initial estimation given by rigid body or affine transformation [ 27 , 123 , 165 – 169 ].…”

Section: Implementation Strategymentioning

confidence: 99%

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An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment

Khalil

Liew

et al. 2018

Cardiology Research and Practice

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Image registration has been used for a wide variety of tasks within cardiovascular imaging. This study aims to provide an overview of the existing image registration methods to assist researchers and impart valuable resource for studying the existing methods or developing new methods and evaluation strategies for cardiac image registration. For the cardiac diagnosis and treatment strategy, image registration and fusion can provide complementary information to the physician by using the integrated image from these two modalities. This review also contains a description of various imaging techniques to provide an appreciation of the problems associated with implementing image registration, particularly for cardiac pathology intervention and treatments.

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Section: Implementation Strategymentioning

confidence: 99%

Section: Implementation Strategymentioning

confidence: 99%

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An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment

Khalil

Liew

et al. 2018

Cardiology Research and Practice

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“…In our previous studies [2,3,[10][11][12], we acquired SPECT/CT images using an anthropomorphic thorax which enclosed moving thoracic compartments: (a) a cardiac phantom of an ECG beating and moving left ventricle during respiration in the cranio-caudal direction, and (b) a breathing phantom of a pair of lungs. These motions could be controlled in time interval of 0.1 sec and various parameters of the motions can vary such as the ejection fraction, heart rate, breath rate and tidal volume.…”

Section: Introductionmentioning

confidence: 99%

A Moving Liver Phantom in An Anthropomorphic Thorax for SPECT MP Imaging

Panagi¹,

Hadjiconstanti²,

Charitou³

et al. 2021

Preprint

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Cranio-caudal respiratory motion and liver activity cause a variety of complex myocardial perfusion (MP) artifacts, especially in the inferior myocardial wall, that may also mask cardiac defects. To assess and characterize such artifacts, an anthropomorphic thorax with moving thoracic phantoms can be utilized in SPECT MP imaging. In this study, a liver phantom was developed, and anatomically added into an anthropomorphic phantom, that encloses an ECG beating cardiac phantom and breathing lungs phantom. A cranio-caudal respiratory motion was also developed for the liver phantom and it was synchronized with the corresponding ones of the cardiac and lungs phantoms. This continuous motion could also be further divided into dynamic respiratory phases, from end-exhalation to end-inspiration, to perform SPECT acquisitions in different respiratory phases. The motion parameters, displacements and volumes, were validated by the acquired CT slices, the OsiriX and Vitrea software. Sample SPECT/16-slice-CT myocardial MP acquisitions were also performed and compared to the literature. The cardiac, lungs and liver phantoms can precisely perform, in time interval of 0.1 sec, physiological thoracic motions within an anthropomorphic thorax. This dynamic phantom assembly can be utilized for SPECT MP supine and, for first time, prone imaging to access and characterize artifacts due to different cranio-caudal respiratory amplitudes and cardiac-liver activity ratios.

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“…For slow imaging techniques such as CBCT, 9 SPECT (Ref. 10), and PET, 11 the resulting images reflect the averaged intensity of the anatomy throughout the breathing cycle. 4D imaging techniques have been developed to account for breathing motion for various imaging modalities.…”

Section: Introductionmentioning

confidence: 99%

A probability‐based multi‐cycle sorting method for 4D‐MRI: A simulation study

et al. 2016

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Purpose: To develop a novel probability-based sorting method capable of generating multiple breathing cycles of 4D-MRI images and to evaluate performance of this new method by comparing with conventional phase-based methods in terms of image quality and tumor motion measurement. Methods: Based on previous findings that breathing motion probability density function (PDF) of a single breathing cycle is dramatically different from true stabilized PDF that resulted from many breathing cycles, it is expected that a probability-based sorting method capable of generating multiple breathing cycles of 4D images may capture breathing variation information missing from conventional single-cycle sorting methods. The overall idea is to identify a few main breathing cycles (and their corresponding weightings) that can best represent the main breathing patterns of the patient and then reconstruct a set of 4D images for each of the identified main breathing cycles. This method is implemented in three steps: (1) The breathing signal is decomposed into individual breathing cycles, characterized by amplitude, and period; (2) individual breathing cycles are grouped based on amplitude and period to determine the main breathing cycles. If a group contains more than 10% of all breathing cycles in a breathing signal, it is determined as a main breathing pattern group and is represented by the average of individual breathing cycles in the group; (3) for each main breathing cycle, a set of 4D images is reconstructed using a result-driven sorting method adapted from our previous study. The probability-based sorting method was first tested on 26 patients' breathing signals to evaluate its feasibility of improving target motion PDF. The new method was subsequently tested for a sequential image acquisition scheme on the 4D digital extended cardiac torso (XCAT) phantom. Performance of the probability-based and conventional sorting methods was evaluated in terms of target volume precision and accuracy as measured by the 4D images, and also the accuracy of average intensity projection (AIP) of 4D images. Results: Probability-based sorting showed improved similarity of breathing motion PDF from 4D images to reference PDF compared to single cycle sorting, indicated by the significant increase in Dice similarity coefficient (DSC) (probability-based sorting, DSC = 0.89 ± 0.03, and single cycle sorting, DSC = 0.83 ± 0.05, p-value <0.001). Based on the simulation study on XCAT, the probability-based method outperforms the conventional phase-based methods in qualitative evaluation on motion artifacts and quantitative evaluation on tumor volume precision and accuracy and accuracy of AIP of the 4D images. Conclusions: In this paper the authors demonstrated the feasibility of a novel probability-based multicycle 4D image sorting method. The authors' preliminary results showed that the new method can improve the accuracy of tumor motion PDF and the AIP of 4D images, presenting potential advantages over the conventional phase-based sorting method for radia...

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Impact of respiratory motion correction on SPECT myocardial perfusion imaging using a mechanically moving phantom assembly with variable cardiac defects

Cited by 18 publications

References 17 publications

An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment

An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment

A Moving Liver Phantom in An Anthropomorphic Thorax for SPECT MP Imaging

A probability‐based multi‐cycle sorting method for 4D‐MRI: A simulation study

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