Investigating the use of nonattenuation corrected PET images for the attenuation correction of PET data

Chang, Tingting; Diab, Rami; Clark, John W.; Mawlawi, Osama

doi:10.1118/1.4816304

Cited by 19 publications

(15 citation statements)

References 30 publications

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“…However, the boundary on the NAC-PET volume is different than the original μ-map, as the volume with PET uptake tends to be larger than the segmentation of the anatomical volume, as it was also reported in Ref. 12, and shown in Fig. 3(b).…”

Section: Type a Artifact Correctionmentioning

confidence: 80%

“…This problem is also noted by the authors of Ref. 12, who found the error had caused an overestimation of PET values of 6% and 8% in two lesions located in the neck region.…”

Section: Introductionmentioning

confidence: 75%

“…An active contour algorithm is used in Ref. 12 to detect the contour on the NAC-PET images. This approach is similar to the approach we are presenting in this study; however, our study deviates by the segmentation algorithm and, more importantly, by the fact that we also handle the problem that the body contour segmented on the NAC-PET image is larger than the μ-map.…”

Section: Introductionmentioning

confidence: 99%

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Automatic correction of dental artifacts in PET/MRI

et al. 2015

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Abstract.A challenge when using current magnetic resonance (MR)-based attenuation correction in positron emission tomography/MR imaging (PET/MRI) is that the MRIs can have a signal void around the dental fillings that is segmented as artificial air-regions in the attenuation map. For artifacts connected to the background, we propose an extension to an existing active contour algorithm to delineate the outer contour using the nonattenuation corrected PET image and the original attenuation map. We propose a combination of two different methods for differentiating the artifacts within the body from the anatomical air-regions by first using a template of artifact regions, and second, representing the artifact regions with a combination of active shape models and knearest-neighbors. The accuracy of the combined method has been evaluated using 25 18 F-fluorodeoxyglucose PET/MR patients. Results showed that the approach was able to correct an average of 97 AE 3% of the artifact areas. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Type a Artifact Correctionmentioning

confidence: 80%

“…This problem is also noted by the authors of Ref. 12, who found the error had caused an overestimation of PET values of 6% and 8% in two lesions located in the neck region.…”

Section: Introductionmentioning

confidence: 75%

Section: Introductionmentioning

confidence: 99%

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Automatic correction of dental artifacts in PET/MRI

et al. 2015

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“…69 In terms of dosimetric accuracy in radiation therapy treatment planning, the radiation dose distributions computed using generated pseudo-CT images agreed reasonably well with those derived using CT images (within 2%). 31,61,167,168 Moving from the present to the future will involve tremendous evaluation and further development of the three main classes of attenuation correction strategies discussed in this work both in academic and corporate settings to achieve the best compromise. The assessment and comparison of the various attenuation correction techniques should continue in the context of multicentric clinical trials supported and implemented by manufacturers involving the use of large databases to assure the reproducibility and robustness of the developed algorithms.…”

Section: B Clinical Perspectives Of Pet/mri Attenuation Correctionmentioning

confidence: 99%

“…60 Chang et al, 61 proposed a semiautomated iterative PET segmentation method for whole-body 18 F-FDG imaging to identify three tissue classes (i.e., background air, lung, and soft tissues). However, tissue classification from NAC PET images is generally limited to radiotracers that distribute throughout the body, such as 18 F-FDG, and probably will not work for specific (non-FDG) PET tracers.…”

Section: A3 Segmentation Of Nonattenuation Corrected (Nac) Pet Immentioning

confidence: 99%

Vision 20/20: Magnetic resonance imaging‐guided attenuation correction in PET/MRI: Challenges, solutions, and opportunities

2016

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Attenuation correction is an essential component of the long chain of data correction techniques required to achieve the full potential of quantitative positron emission tomography (PET) imaging. The development of combined PET/magnetic resonance imaging (MRI) systems mandated the widespread interest in developing novel strategies for deriving accurate attenuation maps with the aim to improve the quantitative accuracy of these emerging hybrid imaging systems. The attenuation map in PET/MRI should ideally be derived from anatomical MR images; however, MRI intensities reflect proton density and relaxation time properties of biological tissues rather than their electron density and photon attenuation properties. Therefore, in contrast to PET/computed tomography, there is a lack of standardized global mapping between the intensities of MRI signal and linear attenuation coefficients at 511 keV. Moreover, in standard MRI sequences, bones and lung tissues do not produce measurable signals owing to their low proton density and short transverse relaxation times. MR images are also inevitably subject to artifacts that degrade their quality, thus compromising their applicability for the task of attenuation correction in PET/MRI. MRI-guided attenuation correction strategies can be classified in three broad categories: (i) segmentation-based approaches, (ii) atlasregistration and machine learning methods, and (iii) emission/transmission-based approaches. This paper summarizes past and current state-of-the-art developments and latest advances in PET/MRI attenuation correction. The advantages and drawbacks of each approach for addressing the challenges of MR-based attenuation correction are comprehensively described. The opportunities brought by both MRI and PET imaging modalities for deriving accurate attenuation maps and improving PET quantification will be elaborated. Future prospects and potential clinical applications of these techniques and their integration in commercial systems will also be discussed. C 2016 American Association of Physicists in Medicine. [http://dx

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PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques

et al. 2020

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Positron emission tomography/magnetic resonance imaging (PET/MRI) potentially offers several advantages over positron emission tomography/computed tomography (PET/CT), for example, no CT radiation dose and soft tissue images from MR acquired at the same time as the PET. However, obtaining accurate linear attenuation correction (LAC) factors for the lung remains difficult in PET/MRI. LACs depend on electron density and in the lung, these vary significantly both within an individual and from person to person. Current commercial practice is to use a single‐valued population‐based lung LAC, and better estimation is needed to improve quantification. Given the under‐appreciation of lung attenuation estimation as an issue, the inaccuracy of PET quantification due to the use of single‐valued lung LACs, the unique challenges of lung estimation, and the emerging status of PET/MRI scanners in lung disease, a review is timely. This paper highlights past and present methods, categorizing them into segmentation, atlas/mapping, and emission‐based schemes. Potential strategies for future developments are also presented.

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Investigating the use of nonattenuation corrected PET images for the attenuation correction of PET data

Abstract: Preliminary results suggest that PET-NAC for the AC of PET images is feasible. Such an approach can potentially be used for dedicated PET or PET∕MR hybrid systems while minimizing scan time or potential image artifacts, respectively.

Cited by 19 publications

References 30 publications

Automatic correction of dental artifacts in PET/MRI

Automatic correction of dental artifacts in PET/MRI

Vision 20/20: Magnetic resonance imaging‐guided attenuation correction in PET/MRI: Challenges, solutions, and opportunities

PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques

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