Whole body parametric imaging on clinical scanner: Direct 4D reconstruction with simultaneous attenuation estimation and time-dependent normalization

Panin, Vladimir; Bal, Harshali; Defrise, Michel; Casey, Michael; Karakatsanis, Nicolas A.; Rahmim, Arman

doi:10.1109/nssmic.2015.7582244

Cited by 7 publications

(3 citation statements)

References 25 publications

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“…This is done by (i) processing the dynamic sinograms into a single sinogram followed by a single reconstruction [126][127][128], or (ii) by use of more advanced 4D statistical models [129][130][131][132][133][134] which have the advantage of accurately modeling Poisson noise distributions in the data space. These approaches to create parametric images directly from sinogram data are applicable to or were already explored for Patlak imaging in the past, and in more recent years for whole-body Patlak imaging [78,104,107]. This included 'nesting' the Patlak model within the iterative reconstruction framework for accelerated convergence [104] using optimization transfer principles [135].…”

Section: Tackling Noisy Imagesmentioning

confidence: 99%

Dynamic whole-body PET imaging: principles, potentials and applications

Rahmim

Lodge

Karakatsanis

et al. 2018

Eur J Nucl Med Mol Imaging

181

169

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Purpose In this article, we discuss dynamic whole-body (DWB) positron emission tomography (PET) as an imaging tool with significant clinical potential, in relation to conventional standard uptake value (SUV) imaging. Background DWB PET involves dynamic data acquisition over an extended axial range, capturing tracer kinetic information that is not available with conventional static acquisition protocols. The method can be performed within reasonable clinical imaging times, and enables generation of multiple types of PET images with complementary information in a single imaging session. Importantly, DWB PET can be used to produce multi-parametric images of (i) Patlak slope (influx rate) and (ii) intercept (referred to sometimes as Bdistribution volume^), while also providing (iii) a conventional 'SUV-equivalent' image for certain protocols. Results We provide an overview of ongoing efforts (primarily focused on FDG PET) and discuss potential clinically relevant applications. Conclusion Overall, the framework of DWB imaging [applicable to both PET/CT(computed tomography) and PET/MRI (magnetic resonance imaging)] generates quantitative measures that may add significant value to conventional SUV imagederived measures, with limited pitfalls as we also discuss in this work.

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Section: Tackling Noisy Imagesmentioning

confidence: 99%

Dynamic whole-body PET imaging: principles, potentials and applications

Rahmim

Lodge

Karakatsanis

et al. 2018

Eur J Nucl Med Mol Imaging

181

169

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“…In this study, all individual dynamic frames were reconstructed with a single CT. If mismatched attenuation correction occurred in any frame, such mismatch artifacts could propagate into the final parametric images [60]. We will investigate any potential mismatched attenuation correction issue in the future and improve the attenuation correction in dynamic PET reconstruction.…”

Section: Discussionmentioning

confidence: 99%

Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric Imaging

Guo

Chen

et al. 2023

IEEE Trans. Radiat. Plasma Med. Sci.

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Whole-body dynamic FDG-PET imaging through continuous-bed-motion (CBM) mode multi-pass acquisition protocol is a promising metabolism measurement. However, interpass misalignment originating from body movement could degrade parametric quantification. We aim to apply a non-rigid registration method for inter-pass motion correction in wholebody dynamic PET. 27 subjects underwent a 90-min whole-body FDG CBM PET scan on a Biograph mCT (Siemens Healthineers), acquiring 9 over-the-heart single-bed passes and subsequently 19 CBM passes (frames). The inter-pass motion correction was executed using non-rigid image registration with multi-resolution, B-spline free-form deformations. The parametric images were then generated by Patlak analysis. The overlaid Patlak slope Ki and y-intercept V b images were visualized to qualitatively evaluate motion impact and correction effect. The normalized weighted mean squared Patlak fitting errors (NFE) were compared in the whole body, head, and hypermetabolic regions of interest (ROI). In Ki images, ROI statistics were collected and malignancy discrimination capacity was estimated by the area under the receiver operating characteristic curve (AUC). After the interpass motion correction was applied, the spatial misalignment appearance between Ki and V b images was successfully reduced. Voxel-wise normalized fitting error maps showed global error reduction after motion correction. The NFE in the whole body (p = 0.0013), head (p = 0.0021), and ROIs (p = 0.0377) significantly decreased. The visual performance of each hypermetabolic ROI in Ki images was enhanced, while 3.59% and 3.67% average absolute percentage changes were observed in mean and maximum Ki values, respectively, across all evaluated ROIs. The estimated mean Ki values had substantial changes with motion correction

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“…Recent developments for direct generation of parametric maps of the radiotracer distribution during PET image reconstruction may contribute to their routine clinical use. 135 , 136 For quantitative PET analysis, several open-source (e.g. 3D Slicer 137 ) and commercial software packages (e.g.…”

Section: Petmentioning

confidence: 99%

Quantitative myelin imaging with MRI and PET: an overview of techniques and their validation status

Weijden

Biondetti

Gutmann

et al. 2022

Brain

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Myelin is the protective sheath wrapped around axons, consisting of a phospholipid bilayer with water between the wraps. The measurement of damage to the myelin sheaths, the evaluation of the efficacy of therapies aiming to promote remyelination as well as monitoring the degree of brain maturation in children require non-invasive quantitative myelin imaging methods. To date, various myelin imaging techniques have been developed. Five different MRI approaches can be distinguished based on their biophysical principles: (1) imaging of the water between the lipid bilayers directly (e.g. myelin water imaging), (2) imaging the non-aqueous protons of the phospholipid bilayer directly with ultrashort echo time techniques, (3) indirect imaging of the macromolecular content (e.g. magnetization transfer; inhomogeneous magnetization transfer), (4) mapping of the effects of the myelin sheath’s magnetic susceptibility on the MRI signal (e.g., quantitative susceptibility mapping), and (5) mapping of the effects of the myelin sheath on water diffusion. Myelin imaging with PET uses radioactive molecules with high affinity to specific myelin components, in particular myelin basic protein. This review aims to give an overview of the various myelin imaging techniques, their biophysical principles, image acquisition, data analysis, and their validation status.

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Whole body parametric imaging on clinical scanner: Direct 4D reconstruction with simultaneous attenuation estimation and time-dependent normalization

Cited by 7 publications

References 25 publications

Dynamic whole-body PET imaging: principles, potentials and applications

Dynamic whole-body PET imaging: principles, potentials and applications

Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric Imaging

Quantitative myelin imaging with MRI and PET: an overview of techniques and their validation status

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