Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography
Introduction: Photon-counting computed tomography (CT) is equipped with an adaptive iterative reconstruction method called quantum iterative reconstruction (QIR), which allows the intensity to be changed during image reconstruction. It is known that the reconstruction conditions of CT images affect...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2025-01-01
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| Series: | Journal of Medical Physics |
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| Online Access: | https://journals.lww.com/10.4103/jmp.jmp_114_24 |
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| author | Miyu Ohata Ryohei Fukui Yusuke Morimitsu Daichi Kobayashi Takatsugu Yamauchi Noriaki Akagi Mitsugi Honda Aiko Hayashi Koshi Hasegawa Katsuhiro Kida Sachiko Goto Takao Hiraki |
| author_facet | Miyu Ohata Ryohei Fukui Yusuke Morimitsu Daichi Kobayashi Takatsugu Yamauchi Noriaki Akagi Mitsugi Honda Aiko Hayashi Koshi Hasegawa Katsuhiro Kida Sachiko Goto Takao Hiraki |
| author_sort | Miyu Ohata |
| collection | DOAJ |
| description | Introduction:
Photon-counting computed tomography (CT) is equipped with an adaptive iterative reconstruction method called quantum iterative reconstruction (QIR), which allows the intensity to be changed during image reconstruction. It is known that the reconstruction conditions of CT images affect the analysis results when performing radiomic analysis. The aim of this study is to investigate the effect of QIR intensity on image quality and radiomic analysis of renal cell carcinoma (RCC).
Materials and Methods:
The QIR intensities were selected as off, 2 and 4. The image quality evaluation items considered were task-based transfer function (TTF), noise power spectrum (NPS), and low-contrast object specific contrast-to-noise ratio (CNRLO). The influence on radiomic analysis was assessed using the discrimination accuracy of clear cell RCC.
Results:
For image quality evaluation, TTF and NPS values were lower and CNRLO values were higher with increasing QIR intensity; for radiomic analysis, sensitivity, specificity, and accuracy were higher with increasing QIR intensity. Principal component analysis and receiver operating characteristics analysis also showed higher values with increasing QIR intensity.
Conclusion:
It was confirmed that the intensity of the QIR intensity affects both the image quality and the radiomic analysis. |
| format | Article |
| id | doaj-art-d0221f99d7fa4db4a0b664cf2efa8563 |
| institution | OA Journals |
| issn | 0971-6203 1998-3913 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Medical Physics |
| spelling | doaj-art-d0221f99d7fa4db4a0b664cf2efa85632025-08-20T02:16:03ZengWolters Kluwer Medknow PublicationsJournal of Medical Physics0971-62031998-39132025-01-0150110010710.4103/jmp.jmp_114_24Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed TomographyMiyu OhataRyohei FukuiYusuke MorimitsuDaichi KobayashiTakatsugu YamauchiNoriaki AkagiMitsugi HondaAiko HayashiKoshi HasegawaKatsuhiro KidaSachiko GotoTakao HirakiIntroduction: Photon-counting computed tomography (CT) is equipped with an adaptive iterative reconstruction method called quantum iterative reconstruction (QIR), which allows the intensity to be changed during image reconstruction. It is known that the reconstruction conditions of CT images affect the analysis results when performing radiomic analysis. The aim of this study is to investigate the effect of QIR intensity on image quality and radiomic analysis of renal cell carcinoma (RCC). Materials and Methods: The QIR intensities were selected as off, 2 and 4. The image quality evaluation items considered were task-based transfer function (TTF), noise power spectrum (NPS), and low-contrast object specific contrast-to-noise ratio (CNRLO). The influence on radiomic analysis was assessed using the discrimination accuracy of clear cell RCC. Results: For image quality evaluation, TTF and NPS values were lower and CNRLO values were higher with increasing QIR intensity; for radiomic analysis, sensitivity, specificity, and accuracy were higher with increasing QIR intensity. Principal component analysis and receiver operating characteristics analysis also showed higher values with increasing QIR intensity. Conclusion: It was confirmed that the intensity of the QIR intensity affects both the image quality and the radiomic analysis.https://journals.lww.com/10.4103/jmp.jmp_114_24image qualityphoton-counting computed tomographyquantum iterative reconstructionradiomicsrenal cell carcinoma |
| spellingShingle | Miyu Ohata Ryohei Fukui Yusuke Morimitsu Daichi Kobayashi Takatsugu Yamauchi Noriaki Akagi Mitsugi Honda Aiko Hayashi Koshi Hasegawa Katsuhiro Kida Sachiko Goto Takao Hiraki Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography Journal of Medical Physics image quality photon-counting computed tomography quantum iterative reconstruction radiomics renal cell carcinoma |
| title | Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography |
| title_full | Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography |
| title_fullStr | Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography |
| title_full_unstemmed | Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography |
| title_short | Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography |
| title_sort | investigating the effects of reconstruction conditions on image quality and radiomic analysis in photon counting computed tomography |
| topic | image quality photon-counting computed tomography quantum iterative reconstruction radiomics renal cell carcinoma |
| url | https://journals.lww.com/10.4103/jmp.jmp_114_24 |
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