This study was designed to investigate the image quality of ultra-high-resolution ankle arthrography employing a photon-counting detector CT. Bilateral arthrograms were acquired in four cadaveric specimens with full-dose (10 mGy) and low-dose (3 mGy) scan protocols. Three convolution kernels with different spatial frequencies were utilized for image reconstruction (ρ; Br98: 39.0, Br84: 22.6, Br76: 16.5 lp/cm). Seven radiologists subjectively assessed the image quality regarding the depiction of bone, hyaline cartilage, and ligaments. An additional quantitative assessment comprised the measurement of noise and the computation of contrast-to-noise ratios (CNR). While an optimal depiction of bone tissue was achieved with the ultra-sharp Br98 kernel ( ≤ 0.043), the visualization of cartilage improved with lower modulation transfer functions at each dose level ( ≤ 0.014). The interrater reliability ranged from good to excellent for all assessed tissues (intraclass correlation coefficient ≥ 0.805). The noise levels in subcutaneous fat decreased with reduced spatial frequency ( < 0.001). Notably, the low-dose Br76 matched the CNR of the full-dose Br84 ( > 0.999) and superseded Br98 ( < 0.001) in all tissues. Based on the reported results, a photon-counting detector CT arthrography of the ankle with an ultra-high-resolution collimation offers stellar image quality and tissue assessability, improving the evaluation of miniscule anatomical structures. While bone depiction was superior in combination with an ultra-sharp convolution kernel, soft tissue evaluation benefited from employing a lower spatial frequency.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341106PMC
http://dx.doi.org/10.3390/diagnostics13132201DOI Listing

Publication Analysis

Top Keywords

photon-counting detector
12
image quality
12
detector arthrography
8
arthrography ankle
8
depiction bone
8
spatial frequency
8
ultra-high-resolution photon-counting
4
ankle feasibility
4
feasibility study
4
study study
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!