Scientific papers

1. H. Kuno, T. Hiyama, T. Sasaki et al. Imaging-detected extranodal extension in head and neck cancer: clinical implications, diagnostic criteria, and the potential of photon-counting detector CT. Jpn J Radiol. 2025 Oct 16. doi: 10.1007/s11604-025-01894-3. Online ahead of print. PMID : 41099987.
2. T. Sasaki, H. Kuno, K. Nomura, Y. Muramatsu, K. Aokage, J. Samejima, T. Taki, E. Goto, M. Wakabayashi, H. Furuya, H. Taguchi, T. Kobayashi. CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment. Jpn J Radiol. 2025 Mar 7. doi: 10.1007/s11604-025-01759-9. Online ahead of print. PMID: 40053285.
3. Lee D, Zhan X, Tai WY, Zbijewski W, Taguchi K. Improving model-data mismatch for photon-counting detector model using global and local model parameters. Med Phys. 2023 Dec 8. doi: 10.1002/mp.16883. Epub ahead of print. PMID: 38064641.
4. Zhan X, Zhang R, Niu X, Hein I, Budden B, Wu S, Markov N, Clarke C, Qiang Y, Taguchi H, Nomura K, Muramatsu Y, Yu Z, Kobayashi T, Thompson R, Miyazaki H, Nakai H. Comprehensive evaluations of a prototype full field-of-view photon counting CT system through phantom studies. Phys Med Biol. 2023 Aug 14;68(17). doi: 10.1088/1361-6560/acebb3. PMID: 37506710

1. F. Tatsugami et al. Impact of Photon-Counting Detector CT on Visualization of the Adamkiewicz Artery Using Super-High-Resolution Mode with Deep Learning Reconstruction: A First Experience. RSNA 2025
2. T. Higaki et al. Maximizing Image Quality Through the Synergy of High-Resolution Photon-Counting Detector CT and Deep Learning Reconstruction: A Coronary Phantom Study. RSNA 2025
3. T. Sasaki et al. Quantitative Analysis of Pulmonary Emphysema Using Electron Density Images from Photon-Counting Detector CT: Correlation with Pulmonary Function Tests. RSNA 2025
4. Kai Mei et al. Photon-Counting Detector CT and Deep Learning Reconstruction in Lung Lesion Assessment. RSNA 2025
5. Leening P. Liu et al. Assessing the Utility of Photon-Counting CT in Obese Patients. RSNA 2025
6. Fong Chi Ho et al. Task-specific Evaluation of Photon-Counting CT Using a 3D-Printed Anthropomorphic Lung Phantom with COPD Pathology. RSNA 2025
7. Yuxin Sun et al. Use of Dark Attenuation Oral Contrast Agent Improves Delineation of Thin Structures at Ultra-High Resolution and Photon-Counting Detector CT. RSNA 2025
8. Gisell Ruiz. Association between Detectability Index and Volumetric Accuracy in Low-Dose Energy-Integrating and Photon-Counting CT. RSNA 2025
9. Gisell Ruiz et al. Evaluation of Reconstruction Kernels and Resolution Techniques for Volumetric Accuracy of Ground-Glass Opacity Nodules in Low-Dose Photon-Counting CT. RSNA 2025
10. W. Y. Tai et al. Impact of Scatter on Phantom-based Water Pathlength Calibration in Photon-Counting CT. 2025 IEEE NPSS
11. Leening P. Liu et al. Assessing the Utility of Photon-Counting CT in Obese Patients. 2025 IEEE MIC
12. Y. Nakamura et al. Utility of CZT-based photon counting detector CT for an abdominal thin-slice non-contrast CT images in comparison with energy integrating detector CT. ECR 2025
13. Y. Nakamura et al. Utility of virtual non-contrast images derived from CZT-based photon counting detector CT in comparison with true non-contrast images. ECR 2025
14. H. Kuno et al. Imaging-detected Extranodal Extension in Head and Neck Cancer: Clinical Implications and Diagnostic Criteria in the Era of High-Resolution Imaging including Photon-Counting Detector CT. RSNA 2024
15. T. Sasaki et al. CZT-based Photon-Counting-Detector CT with Deep-Learning Reconstruction: Image Quality and Diagnostic Confidence for Lung Tumor Assessment. RSNA 2024
16. K. Nomura et al. Sharpness Evaluation of Chest Multi Planar Reconstruction Images with Normal and Super High-resolution Mode of CZT-Based Photon-counting Detector CT. RSNA 2024
17. A. Pourmorteza et al. Dose-Efficient Characterization of Coronary Artery Plaques with a Prototype CdZnTe-Based Photon-Counting CT Scanner. SPIE 2024
18. A. Pourmorteza et al. Iodine Quantification with a CdZnTe Clinical Prototype Photon-Counting Scanner at Reduced Radiation Dose: Initial Cardiac Phantom Results, ECR 2024
19. K. Mei et al. Ultra-low-dose photon-counting CT: Assessing radiomic features with a patient-based lung phantom, ECR 2024
20. S. Mochinaga et al. First Results of Electron Density Quantification with CZT-based Photon Counting Detector CT, ECR 2024
21. W. Fukumoto et al. Comparison of newly developed CZT-based Photon Counting Detector CT (PCD-CT) and Ultra-High-Resolution CT (U-HRCT) for measuring airway dimensions: A phantom study. ECR 2024
22. K. Yokomachi et al. Physical characteristics in slice direction using a newly developed CZT-based Photon-Counting Detector CT. ECR 2024
23. Y. Nakamura et al. Accuracy of CT values on virtual monochromatic images of CZT-based Photon Counting Detector CT: comparison with dual-energy CT using energy integrating detector in a phantom model. ECR 2024
24. T. Higaki et al. Utility of multi-energy mode of CZT-based Photon Counting Detector CT for coronary CT angiography: A structured phantom study. ECR 2024
25. D. Lee et al. Advanced Photon-Counting Detector Simulator with a Count-Rate-Dependent Mapping Operator and a Pixel-to-Pixel Variation Generator. IEEE MSS MIC 2023
26. A. Pourmorteza et al. Dose-efficient Ultra-high-resolution imaging of coronary stents with a CdZnTe-based clinical prototype photon- counting scanner. RSNA 2023
27. K. L. Boedeker et al. Technical Performance of Super Resolution Deep Learning Reconstruction Algorithm on a Wide Area, Conventional Energy-Integrating Detector vs and a Photon-Counting Computed Tomography System with Conventional Reconstruction Algorithms. RSNA 2023
28. T. Sasaki et al. CT Imaging of Lung Cancer: Exploring the Clinical Potential of CZT-based Photon Counting Detector CT. RSNA 2023
29. K. Hirayama et al. Super-high-resolution abdominal imaging using CZT based photon counting CT with deep learning reconstruction: quantitative study and first clinical impression. RSNA 2023
30. K. Nomura et al. Super-high-resolution chest imaging using CZT-based photon counting CT: performance characterization and first clinical trial. RSNA 2023
31. S. Mochinaga et al. High z-axis resolution imaging using CZT based photon counting CT: quantitative study and first clinical trial. RSNA 2023
32. Kei Mei et al. Evaluation of a prototype photon-counting CT for pulmonary imaging using patient-based lung phantoms. RSNA 2023
33. S. Kondo et al. Visualization of simulated small vessels on photon counting detector CT: comparison with energy integrating CT in a phantom model. RSNA 2023
34. T. Higaki et al. Improving spatial resolution in coronary CT angiography with photon counting detector CT: A structured phantom study. RSNA 2023
35. T. Higaki et al. Noise reduction in coronary CT angiography with photon counting detector CT: A structured phantom study. RSNA 2023
36. F. Tatsugami et al. Coronary Artery Calcium Volume Measurement: A Comparison between Photon-Counting CT and Ultra-High-Resolution CT using a Cardiac CT Calibration Phantom. RSNA 2023
37. K. Nomura et al. Basic Image Quality Evaluation of New Platform Prototype Photon Counting CT. JRC 2023
38. X. Zhan et al. Spectral imaging performance evaluation for a prototype full-size photon counting CT system at clinical dose levels. JRC 2023
39. R. Zhang et al. Quantitative image quality comparison between normal resolution and super high resolution modes of a clinical prototype photon counting CT system. JRC 2023
40. T. W. Holmes et al. Pediatric head and neck imaging with a CZT-based photon-counting CT scanner: initial image quality evaluation. ECR 2023
41. K. Nomura et al. Comparison of CT image quality for different sized phantom between prototype full-size photon counting and conventional CT systems: CT number, image noise and artifact. ECR 2023
42. Edgar Salazar et al. Evaluation of a prototype photon-counting CT for low-dose pulmonary imaging using patient-based lung phantom. ECR 2023
43. X. Zhan et al. A study of cross-talk effect in pixelated photon counting detectors and impact to system imaging performance. SPIE 2023
44. Donghyeon Lee et al. Photon-Counting Detector Model Using Local Parameters for Pixel-to-Pixel Variation. SPIE 2023
45. W. Yang Tai et al. Effects of Bowtie Scatter on Material Decomposition in Photon-Counting CT. SPIE 2023
46. R. Zhang et al. Quantitative Image Quality Comparison between Photon Counting and Conventional CT Systems: Contrast-to-Noise Ratio. RSNA 2022
47. K. L. Boedeker et al. Low Contrast Detectability Comparison Between a Prototype Photon Counting Computed Tomography System and Conventional CT system Across a Range of Attenuation Levels. RSNA 2022
48. Xiaohui Z et al. Quantitative image quality evaluation for a prototype photon counting CT through phantom studies: Noise, Resolution and Quantitative Accuracy. CERN SpecXray 2022
49. A. Pourmorteza et al. First experience with a clinical prototype CZT-based PCCT scanner: applications in low-dose lung cancer screening. CERN SpecXray 2022
50. Xiaohui Z et al. Phantom imaging evaluations of a prototype CZT based photon counting system. ECR 2022
51. K. Nomura et al. Quantitative image quality comparison between a prototype full-size photon counting CT system and conventional CT systems with energy integrating detectors. ECR 2022
52. T. W. Holmes et al. Low-Dose Lung Cancer Screening with a Novel CZT Photon-Counting CT Prototype: A Phantom Study. ECR 2022
53. Y Suzuki et al. Physics Performance Evaluation of Prototype Photon Counting CT: Basic Image Quality Evaluation. JRC 2022
54. K. Nomura et al. Physics Performance Evaluation of Prototype Photon Counting CT: Quantitative Evaluation. JRC 2022
55. Y. Muramatsu et al. Physics Performance Evaluation of Prototype Photon Counting CT: Large-phantom Evaluation. JRC 2022
56. Xiaohui Z et al. First results from a prototype full-size photon counting CT system: counting and spectral imaging performance at clinical dose levels. RSNA 2021
57. K. Nomura et al. Quantitative image quality comparison between photon counting and conventional CT systems: noise, resolution and quantitative accuracy. RSNA 2021