Motion Correction of Whole-Body PET Data with a Joint PET-MRI Registration Functional

Fieseler, Michael; Gigengack, Fabian; Jiang, Xiaoyi; Schäfers, Klaus P.

doi:10.1186/1475-925x-13-s1-s2

Cited by 18 publications

(18 citation statements)

References 23 publications

(26 reference statements)

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“…Recent studies have been performed to evaluate the performance of these three methodologies [196,197]. More advanced methods, that use the synergistic information derived from the simultaneous PET and MR data acquisition, have been proposed to estimate [198] and to correct for motion in both PET and MR images [189]. Other attempts focused on the implementation of joint MoCo and PVC approaches to further improve the PET quantification of small lesions in regions that are susceptible to motion [199,200].…”

Section: Motion Compensationmentioning

confidence: 99%

Hybrid Imaging: Instrumentation and Data Processing

et al. 2018

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State-of-the-art patient management frequently requires the use of non-invasive imaging methods to assess the anatomy, function or molecular-biological conditions of patients or study subjects. Such imaging methods can be singular, providing either anatomical or molecular information, or they can be combined, thus, providing "anato-metabolic" information. Hybrid imaging denotes image acquisitions on systems that physically combine complementary imaging modalities for an improved diagnostic accuracy and confidence as well as for increased patient comfort. The physical combination of formerly independent imaging modalities was driven by leading innovators in the field of clinical research and benefited from technological advances that permitted the operation of PET and MR in close physical proximity, for example. This review covers milestones of the development of various hybrid imaging systems for use in clinical practice and small-animal research. Special attention is given to technological advances that helped the adoption of hybrid imaging, as well as to introducing methodological concepts that benefit from the availability of complementary anatomical and biological information, such as new types of image reconstruction and data correction schemes. The ultimate goal of hybrid imaging is to provide useful, complementary and quantitative information during patient work-up. Hybrid imaging also opens the door to multi-parametric assessment of diseases, which will help us better understand the causes of various diseases that currently contribute to a large fraction of healthcare costs.

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Section: Motion Compensationmentioning

confidence: 99%

Hybrid Imaging: Instrumentation and Data Processing

et al. 2018

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“…An interesting opportunity in the case of simultaneous PET and MRI data acquisition is to use the information derived from both modalities to estimate the motion (89). In principle, the same deformation fields should be derived from both datasets.…”

Section: Motion Characterizationmentioning

confidence: 99%

“…In this way, the influence of the PET data can be seen as a regularizer whose influence can be adjusted by modifying a single parameter, which is used in addition to a hyperelastic regularizer that penalizes changes in volume, area, and length. A preliminary evaluation of this method was performed in a simulated phantom and demonstrated improvements in the heart, lung and focal lesions (89). …”

Section: Motion Characterizationmentioning

confidence: 99%

Motion Correction Options in PET/MRI

Catana

2015

Seminars in Nuclear Medicine

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Subject motion is unavoidable in clinical and research imaging studies. Breathing is the most important source of motion in whole-body positron emission tomography (PET) and magnetic resonance imaging (MRI) studies, affecting not only thoracic organs but also those in the upper and even lower abdomen. The motion related to the pumping action of the heart is obviously relevant in high-resolution cardiac studies. These two sources of motion are periodic and predictable, at least to a first approximation, which means certain techniques can be used to control the motion (e.g. by acquiring the data when the organ of interest is relatively at rest). Additionally, non-periodic and unpredictable motion can also occur during the scan. One obvious limitation of methods relying on external devices (e.g. respiratory bellows or the ECG signal to monitor the respiratory or cardiac cycle, respectively) to trigger or gate the data acquisition is that the complex motion of internal organs cannot be fully characterized. However, detailed information can be obtained either using the PET or MRI data (or both) allowing the more complete characterization of the motion field so that a motion model can be built. Such a model and the information derived from simple external devices can be used to minimize the effects of motion on the collected data. In the ideal case, all the events recorded during the PET scan would be used to generate a motion free/corrected PET image. The detailed motion field can be used for this purpose by applying it to the PET data before, during or after the image reconstruction. Integrating all these methods for motion control, characterization and correction into a workflow that can be used for routine clinical studies is challenging but could potentially be extremely valuable given the improvement in image quality and reduction of motion-related image artifacts.

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“…Secondly, quantitative cardiovascular PET/MRI requires reliable correction for motion and partial volume effects. Of note, algorithms for MRI-based motion compensation and resolution modelling have been suggested [22,23] but have not translated into broader clinical adoption and validation.…”

Section: Future Challengesmentioning

confidence: 99%

Combined PET/MRI: Multi-modality Multi-parametric Imaging Is Here

et al. 2015

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This paper summarises key themes and discussions from the 4th international workshop dedicated to the advancement of the technical, scientific and clinical applications of combined positron emission tomography (PET)/magnetic resonance imaging (MRI) systems that was held in Tübingen, Germany, from February 23 to 27, 2015. Specifically, we summarise the three days of invited presentations from active researchers in this and associated fields augmented by round table discussions and dialogue boards with specific topics. These include the use of PET/MRI in cardiovascular disease, paediatrics, oncology, neurology and multi-parametric imaging, the latter of which was suggested as a key promoting factor for the wider adoption of integrated PET/MRI. Discussions throughout the workshop and a poll taken on the final day demonstrated that attendees felt more strongly that PET/MRI has further advanced in both technical versatility and acceptance by clinical and research-driven users from the status quo of last year. Still, with only minimal evidence of progress made in exploiting the true complementary nature of the PET and MRI-based information, PET/MRI is still yet to achieve its potential. In that regard, the conclusion of last year's meeting "the real work has just started" still holds true.

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Motion Correction of Whole-Body PET Data with a Joint PET-MRI Registration Functional

Cited by 18 publications

References 23 publications

Hybrid Imaging: Instrumentation and Data Processing

Hybrid Imaging: Instrumentation and Data Processing

Motion Correction Options in PET/MRI

Combined PET/MRI: Multi-modality Multi-parametric Imaging Is Here

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