Manuscript received June 9, 2025; revised June 16, 2025; accepted July 31, 2025; published November 25, 2025.

Abstract—Cone-beam spiral Computed Tomography (CT) naturally extends longitudinal coverage, yet its transverse Field of View (FOV) remains constrained, causing projection truncation at high geometric magnification. We present an offset-spiral acquisition scheme paired with a Parker-weighted reconstruction algorithm that doubles the usable transverse FOV without modifying hardware. The one-sided lateral shift introduces projection redundancy, which is compensated by a tailored weighting function, allowing accurate recovery of truncated data through the standard Feldkamp-Davis-Kress (FDK) pipeline. Tests on simulated phantoms and real lithium-battery scans show that the proposed method preserves fine structural details and attains image quality comparable to conventional full-FOV reconstructions (mean PSNR ≈ 32 dB, SSIM ≈ 0.99, MSE < 0.014, FSIM and VIF<0.97). The technique is readily deployable in existing industrial CT systems and broadens the applicability of spiral FDK reconstruction to large, high-aspect-ratio objects.

Keywords—industrial CT, spiral FDK, unilateral truncation, lithium battery, Parker weights

Cite: Dalong Tan, Xin Tian, Yixin He, Chenhao Xu, Kaisheng Li, and Min Yang, "A Novel Algorithm for Sprial Large FOV Reconstruction," Journal of Image and Graphics, Vol. 13, No. 6, pp. 637-644, 2025.

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC-BY-4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.