Search arXivSearch

arXiv · 2609.27398

Integration of Spectral CT with PET and SPECT: Bringing Tissue Composition Information to Molecular Imaging

Abstract

Molecular imaging has been transformed by integrating positron emission tomography (PET) or single-photon emission computed tomography (SPECT) with x-ray computed tomography (CT). However, x-ray CT in hybrid imaging is used primarily for anatomical localization and for attenuation and scatter correction of emission data. Its ability to characterize tissue composition remains underutilized. Spectral CT, including dual-energy CT (DECT) and photon-counting CT (PCCT), can provide material-specific information, such as images of iodine concentration, bone or calcium fractions, electron-density, effective atomic number and other spatially-varying material properties. These capabilities create an opportunity to bring tissue-composition information into molecular imaging. In addition, spectral CT can also reduce CT artifacts and provide more accurate corrections for emission data. In this review, we discuss the technical basis, integration pathways, and translational opportunities for combining spectral CT with molecular imaging. We review sequential and integrated PET/DECT approaches, emerging PET/PCCT concepts, PET-enabled spectral CT, and extensions to SPECT/CT. We then examine how spectral CT information may improve attenuation correction, scatter correction, tissue-fraction correction, positron range correction, reconstruction priors, and dosimetry. Clinical and translational applications include contrast-enhanced molecular imaging, vascular and perfusion imaging, quantitative bone marrow imaging, musculoskeletal imaging, and theranostics. Overall, spectral CT integration may move hybrid molecular imaging toward tissue-composition-informed molecular imaging, in which radiotracer signals are interpreted within their material context.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Guobao Wang, Kris Thielemans, Peter B. Noël, Joel S. Karp, Paul E. Kinahan. 2026-09-23. Integration of Spectral CT with PET and SPECT: Bringing Tissue Composition Information to Molecular Imaging. https://arxiv.org/abs/2609.27398

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Explicit pixel-value correction of lateral response artifacts in radiochromic film dosimetry: Evaluation of single-, double-, and triple-channel methods

Background:Flatbed scanners introduce a lateral response artifact (LRA) perpendicular to lamp motion. Because LRA varies with position, pixel value (PV), color channel, and film model, it may violate the channel-common perturbation assumption of multichannel dosimetry. Purpose:To characterize PV-domain LRA in EBT4 and EBT-XD films, compare Lewis and Full corrections, and evaluate their effects on single-, double-, and triple-channel dosimetry. Methods:Seven films were scanned at seven lateral positions using a cyclic-shift design. For each position and RGB channel, center-equivalent response was modeled as PVc = A + B * PV. Lewis correction used two films with linear interpolation of A and B; Full correction used all center-local pairs with PCHIP interpolation of PVc - PV. Performance was assessed by portrait-landscape profile consistency and dose accuracy. Results: LRA was affine in PV, asymmetric about scanner center, and dependent on film model and channel. Both corrections reduced profile differences. Mean absolute profile differences across MU levels ranged from 1.4%-5.3% for EBT4 and 2.4%-6.8% for EBT-XD. The methods performed similarly for EBT4, while Full correction reduced discrepancies for several EBT-XD double- and triple-channel methods. Residual blue-channel errors limited blue, red-blue, and triple-channel performance. At 500 MU and above, red showed the best dose agreement; at 100 MU, both corrections increased deviations for several single-channel estimates. Full correction produced smaller deviations than Lewis in several EBT-XD conditions. Conclusions:LRA should be corrected in the raw-PV domain before dose reconstruction. Full correction better preserved profile consistency and dose accuracy, particularly for EBT-XD. Because improved profile consistency did not always improve central-dose agreement, both should be evaluated separately in commissioning.

physics.med-ph

Non-circular scan trajectories for reducing cone-beam artifacts in Gamma Knife CBCT images: a simulation study

Objective. Gamma Knife cone-beam computed tomography (CBCT) images are deteriorated by cone-beam artifacts whose magnitude increases along the superior direction. In this study, a novel scan trajectory compatible with the Gamma Knife CBCT system is optimized to reduce cone-beam artifacts, with the aim to replace the current 200-degree single-arc scan. Approach. Data sampling analysis with tomographic incompleteness maps indicates the level of undersampling across the field of view based on the geometry of the system and of a scan trajectory. Moreover, CBCT simulations are performed from a virtual phantom with disks aligned along the axial direction and from a CT reconstruction of a stereotactic end-to-end validation (STEEV) phantom. CBCT projections are simulated for a given scan trajectory through a polychromatic forward projection model with added noise and scatter, then the CBCT image is reconstructed using an iterative algorithm which minimizes weighted least squares. Main results. Both the incompleteness analysis and the CBCT simulations indicate adding lines to the current single-arc trajectory is more efficient to reduce cone-beam artifacts than adding more arcs, both in terms of number of additional projections and new artifacts. A line-arc-line trajectory with source axial steps of 3.5 mm removes virtually all cone-beam artifacts. The widths of the cone-beam artifacts created by the disks show a positive correlation between the artifact magnitude and the incompleteness value. Significance. A line-arc-line scan trajectory is promising to reduce cone-beam artifacts of the Gamma Knife CBCT images while being a compatible and reasonable trajectory for the current system design.

physics.med-ph

GenMC: Real-Time Generative Monte Carlo Surrogate for Quantitative Photoacoustic Imaging

Photoacoustic (PA) imaging provides molecular and functional information about tissue, such as blood oxygen saturation (sO2), yet its clinical translation is hindered by inaccurate quantification. A major source of error is the spectral colouring effect, in which wavelength-dependent optical attenuation distorts the local optical fluence. Monte Carlo (MC) simulation is the gold standard for modelling light transport, but its computational demand precludes real-time use. Here, GenMC is presented, a deep generative framework based on a conditional generative adversarial network that estimates optical fluence distributions from tissue anatomy and literature-derived optical properties, with anatomical priors obtained from co-registered ultrasound images. Trained on MC-generated synthetic datasets, GenMC produces high-fidelity fluence maps in under 30 ms per frame, a four-orders-of-magnitude speed-up over conventional MC simulation, and reaches peak signal-to-noise ratios of up to 36.24 dB in vivo, outperforming UNet and Pix2Pix baselines. Validation in blood-mimicking phantoms and in 37 human volunteers spanning Fitzpatrick skin types III-V demonstrates improved accuracy, robustness, and physiological consistency of sO2 estimation. By enabling real-time, accurate, and reproducible quantification of tissue oxygenation, GenMC addresses a critical barrier to quantitative PA imaging and offers a general strategy for rapid, high-fidelity approximation of light transport in tissue.

physics.med-ph