Iterative reconstruction for image enhancement and dose reduction in diagnostic cone beam CT imaging

Matenine, Dmitri; Schmittbuhl, Matthieu; Bedwani, Stéphane; Després, Philippe; Guise, Jacques A. de

doi:10.3233/xst-190523

Cited by 6 publications

(5 citation statements)

References 40 publications

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“…When only bony anatomy visualization is needed for CBCT, reducing the kV from 100 to 80 and the mAs by a factor of 3 will reduce the dose by a factor of approximately 8 from that with the standard linac imaging protocol, yet the resulting images will be no less accurate in 3D matching with the planning CT images 41 . Iterative CBCT reconstruction is now commercially available, providing the opportunity to further reduce the imaging dose without sacrificing image quality 42 …”

Section: Discussionmentioning

confidence: 99%

“…41 Iterative CBCT reconstruction is now commercially available, provid-ing the opportunity to further reduce the imaging dose without sacrificing image quality. 42 Surface imaging does not employ ionizing radiation. This method may help reduce the need for repeated imaging by guiding the initial setup for IGRT and monitoring patient motion during treatment.MRlinac or MR-cobalt systems are recent inventions that localize and track tumors without relying on ionizing radiation.…”

Section: Strategies For Reducing the Image Guidance Dosementioning

confidence: 99%

See 1 more Smart Citation

Practice patterns and recommendations for pediatric image‐guided radiotherapy: A Children's Oncology Group report

Hua

Vern-Gross

Hess

et al. 2020

Pediatric Blood & Cancer

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This report by the Radiation Oncology Discipline of Children's Oncology Group (COG) describes the practice patterns of pediatric image‐guided radiotherapy (IGRT) based on a member survey and provides practice recommendations accordingly. The survey comprised of 11 vignettes asking clinicians about their recommended treatment modalities, IGRT preferences, and frequency of in‐room verification. Technical questions asked physicists about imaging protocols, dose reduction, setup correction, and adaptive therapy. In this report, the COG Radiation Oncology Discipline provides an IGRT modality/frequency decision tree and the expert guidelines for the practice of ionizing image guidance in pediatric radiotherapy patients.

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Section: Discussionmentioning

confidence: 99%

Section: Strategies For Reducing the Image Guidance Dosementioning

confidence: 99%

Practice patterns and recommendations for pediatric image‐guided radiotherapy: A Children's Oncology Group report

Hua

Vern-Gross

Hess

et al. 2020

Pediatric Blood & Cancer

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“…Low-dose CBCT oral image enhancement [1][2][3][4] is important in the field of dentistry and dentistry because it uses diagnostic examinations performed with low X-ray radiation doses to reduce the radiation exposure to the human body while improving the quality of the CBCT oral images and to provide a more accurate diagnosis and treatment plan for the patient's oral disease. The following are some of the important implications of low-dose CBCT oral image enhancement: (1) Improvement of image quality [5]: low-dose CBCT is a technique for obtaining structural images of the oral cavity by X-ray scanning.…”

Section: Introductionmentioning

confidence: 99%

Image fusion-based low-dose CBCT enhancement method for visualizing miniscrew insertion in the infrazygomatic crest

Sun,

Yang,

Tian

et al. 2024

BMC Med Imaging

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Digital dental technology covers oral cone-beam computed tomography (CBCT) image processing and low-dose CBCT dental applications. A low-dose CBCT image enhancement method based on image fusion is proposed to address the need for subzygomatic small screw insertion. Specifically, firstly, a sharpening correction module is proposed, where the CBCT image is sharpened to compensate for the loss of details in the underexposed/over-exposed region. Secondly, a visibility restoration module based on type II fuzzy sets is designed, and a contrast enhancement module using curve transformation is designed. In addition to this, we propose a perceptual fusion module that fuses visibility and contrast of oral CBCT images. As a result, the problems of overexposure/underexposure, low visibility, and low contrast that occur in oral CBCT images can be effectively addressed with consistent interpretability. The proposed algorithm was analyzed in comparison experiments with a variety of algorithms, as well as ablation experiments. After analysis, compared with advanced enhancement algorithms, this algorithm achieved excellent results in low-dose CBCT enhancement and effective observation of subzygomatic small screw implantation. Compared with the best performing method, the evaluation metric is 0.07–2 higher on both datasets. The project can be found at: https://github.com/sunpeipei2024/low-dose-CBCT.

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“…It has been proposed to unitize the Feldkamp-Davis-Kress (FDK) algorithm for CT images reconstruction in clinical practice. However, investigations have shown that the CT images that come out have poor quality and cannot be used for clinical diagnosis when the FDK algorithm works on reconstructing the image of incomplete cone-beam computerized tomography (CBCT) [17,18]. For the superiority of generative adversarial network (GAN) in image processing, the reconstruction algorithm based on the network of generative adversarial and contextual coding (RANGC) was raised in this study and was used in CT imaging evaluation of giant thoracic tumors [19].…”

Section: Introductionmentioning

confidence: 99%

Impact Evaluation of Comfort Care on the Prognosis of Giant Thoracic Tumor Patients with Computerized Tomography Imaging under Intelligent Reconstruction Algorithm

Yan

2022

Scientific Programming

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The reconstruction algorithm based on the network of generative adversarial and contextual coding (RANGC) was proposed in this study to analyze the impacts on the prognosis of patients with giant thoracic tumors with CT imaging under artificial intelligence algorithms. The algorithms of Feldkamp–Davis–Kress (FDK) and the generative adversarial network (GAN) were introduced. The patients were divided into the test group with comfort care and the control group with conventional care. Three sets of indicators below were also compared between the patients in two groups, including the pain level and complication incidence, the self-rating anxiety scale (SAS), the self-rating depression scale (SDS), and the patients’ satisfaction and average duration of hospital stay. When the scanning range was [0°, 89°], the peak signal-to-noise ratio (PSNR) and structural similarity index measurement (SSIM) under the RANGC algorithm were 45.6 dB and 0.99, respectively. When the scanning range changed to [0°, 119°], the PSNR and SSIM were 39.21 dB and 0.98, respectively. The results were significantly higher than those under the FDK and GAN algorithms, and the difference was obviously of statistical significance P < 0.05 . The average postoperative pain level of the patients in the control group was 3.12 points, and the postoperative complication incidence was 36.13%, while those of the test group patients were 2.27 points and 20.02%, respectively, which was greatly lower than those of the control group patients, and such a difference was of statistical significance P < 0.05 . There was no statistically significant difference in the SDS and SAS scores between the patients in the two groups before surgery. However, the SAS and SDS scores of the test group patients were 41.23 and 43.25, respectively, after surgery, which are obviously lower than those of the control group patients, with a statistically significant difference P < 0.05 . The average duration of hospital stay of the test group patients was 6.31 days, which was lower than that of the control group patients, with a statistically significant difference P < 0.05 . The overall satisfaction of the test group patients was 83.33%, which was remarkably higher than that of the control group patients, and the difference had statistical significance P < 0.05 . All these showed that the performance of the RANGC algorithm was relatively better, and comfort care did good to improve the negative mood, satisfaction, and life quality of patients after surgery.

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Iterative reconstruction for image enhancement and dose reduction in diagnostic cone beam CT imaging

Cited by 6 publications

References 40 publications

Practice patterns and recommendations for pediatric image‐guided radiotherapy: A Children's Oncology Group report

Practice patterns and recommendations for pediatric image‐guided radiotherapy: A Children's Oncology Group report

Image fusion-based low-dose CBCT enhancement method for visualizing miniscrew insertion in the infrazygomatic crest

Impact Evaluation of Comfort Care on the Prognosis of Giant Thoracic Tumor Patients with Computerized Tomography Imaging under Intelligent Reconstruction Algorithm

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