Attenuation correction in PET using consistency conditions and a three-dimensional template

Bromiley, A.; Welch, Andrew; Chilcott, F.; Waikar, S.; McCallum, S.; Dodd, Melody; Craib, S.; Schweiger, L.; Sharp, P.

doi:10.1109/23.958358

Cited by 21 publications

(22 citation statements)

References 8 publications

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“…This may have important implications depending on the method where they the TDCC are used. For example, automatic attenuation correction methods [13,14] should pay attention to the particular value of the blurring of the PET scanner because it may invalidate the correction method if the stronger emission sources are not centered as it often occurs with heart or kidney studies.…”

Section: Realistic Pet Sinograms With Asymmetric Blurringmentioning

confidence: 99%

Revised consistency conditions for PET data

Herraiz

España

Vicente

et al. 2007

2007 IEEE Nuclear Science Symposium Conference Record

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Tomographic Data Consistency Conditions (TDCC) are frequently employed to improve the quality of PET data. However, most of these consistency conditions were derived from X-ray computerized tomography (CT) and their validity for other imaging modalities has not been well established. For instance, it is well known from (X-ray) CT data that the sum of the projection data from one view of the parallel-beam projections is a constant independent of the view-angle. This consistency condition is based on well-known mathematical properties of the Radon transform and yields good results when employed in noise removal or sinogram restoration. But this consistency condition assumes that emission and detection of radiation occur within a thin (ideally with zero width) line-ofresponse (LOR), with a flat probability distribution of the detection (in PET) or absorption (X-ray) along such LOR. This assumption, being valid for CT, is not realistic for PET acquisitions. Thus, TDCC for PET should be revised in order to check their validity with more realistic detection models.In this work we review the main differences between PET and CT data and study whether these consistency conditions should be modified in order to take into account the dependence of the probabilities on the distance to the center of the line-of-response. Results from simulations are also presented to illustrate the importance of these effects. They indicate that some consistency conditions can be violated at the 10% level.

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Section: Realistic Pet Sinograms With Asymmetric Blurringmentioning

confidence: 99%

Revised consistency conditions for PET data

Herraiz

España

Vicente

et al. 2007

2007 IEEE Nuclear Science Symposium Conference Record

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“…Bromiley and Welch, in a follow-up to their original work, used these conditions to perform attenuation-emission alignment in conventional PET imaging through transformations of a flawed (mis-aligned) attenuation image [1]. In this work, we modify their method for use with cardiac PET/CT imaging.…”

Section: Alignment Metricmentioning

confidence: 99%

Attenuation-Emission Alignment in Cardiac PET/CT with Consistency Conditions

Alessio

Caldwell

Chen

et al. 2006

2006 IEEE Nuclear Science Symposium Conference Record

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Abstract-Misaligned attenuation correction factors lead to artifacts and quantitative errors in cardiac PET images, potentially resulting in inaccurate interpretation and/or incorrect clinical decisions. Artifacts from misaligned attenuation-emission scans are common with conventional PET imaging. The potential for misalignment/artifacts is further increased in dual modality PET/CT systems since CT images a snapshot of the respiratory cycle and PET images multiple respiratory cycles. In this work, we developed and tested a method for automated alignment of attenuation and emission data. The alignment process enforces the Radon consistency conditions on the emission data and is derived from previous work by Welch et al. The attenuation image volume is aligned through simple rigid body transformations with the emission data. We test the process with simulated data and measured patient data from two ammonia cardiac PET/CT exams.

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“…46 (for PET), the attenuation distribution was assumed to be an affine distortion of a known prototype attenuation distribution, and the system of data consistency conditions was solved for this affine distortion using the Levenberg-Marquardt algorithm. These 2-D studies were followed by research on 3-D templates, this time using simplex methods evaluated in simulations and phantoms 189 and, later, in cardiac PET/CT patients using rigidbody registration. 190 More recent proposals involve TOF PET data and iterative methods.…”

Section: C3 Registration Of Available µ-Mapsmentioning

confidence: 99%

Attenuation correction in emission tomography using the emission data—A review

Berker

2016

Medical Physics

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The problem of attenuation correction (AC) for quantitative positron emission tomography (PET) had been considered solved to a large extent after the commercial availability of devices combining PET with computed tomography (CT) in 2001; single photon emission computed tomography (SPECT) has seen a similar development. However, stimulated in particular by technical advances toward clinical systems combining PET and magnetic resonance imaging (MRI), research interest in alternative approaches for PET AC has grown substantially in the last years. In this comprehensive literature review, the authors first present theoretical results with relevance to simultaneous reconstruction of attenuation and activity. The authors then look back at the early history of this research area especially in PET; since this history is closely interwoven with that of similar approaches in SPECT, these will also be covered. We then review algorithmic advances in PET, including analytic and iterative algorithms. The analytic approaches are either based on the Helgason-Ludwig data consistency conditions of the Radon transform, or generalizations of John's partial differential equation; with respect to iterative methods, we discuss maximum likelihood reconstruction of attenuation and activity (MLAA), the maximum likelihood attenuation correction factors (MLACF) algorithm, and their offspring. The description of methods is followed by a structured account of applications for simultaneous reconstruction techniques: this discussion covers organ-specific applications, applications specific to PET/MRI, applications using supplemental transmission information, and motion-aware applications. After briefly summarizing SPECT applications, we consider recent developments using emission data other than unscattered photons. In summary, developments using time-of-flight (TOF) PET emission data for AC have shown promising advances and open a wide range of applications. These techniques may both remedy deficiencies of purely MRI-based AC approaches in PET/MRI and improve standalone PET imaging. C

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Attenuation correction in PET using consistency conditions and a three-dimensional template

Cited by 21 publications

References 8 publications

Revised consistency conditions for PET data

Revised consistency conditions for PET data

Attenuation-Emission Alignment in Cardiac PET/CT with Consistency Conditions

Attenuation correction in emission tomography using the emission data—A review

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