Impact of CT reconstruction algorithm on auto‐segmentation performance

Miller, Claudia; Mittelstaedt, Daniel; Black, Noel; Klahr, Paul; Nejad-Davarani, Siamak P.; Schulz, Heinrich; Goshen, Liran; Han, Xiaoxia; Ghanem, Ahmed I; Morris, Eric D.; Glide-Hurst, Carri K

doi:10.1002/acm2.12710

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…The FBP algorithm has the characteristics of simple operation and short running time when processing CT images, but it has the problem of high radiation dose and needs to be further optimized [ 19 ]. In order to reduce the harm of X-rays to the human body, the CT image is reconstructed, the ROI projection data is used to increase or decrease the projection data of the region of interest (ROI), and the constructor is used to reconstruct the overall or partial image [ 20 ]. For the convolutional backprojection calculation of image reconstruction, the ROI area can be selected, and it is not necessary to scan the whole to obtain all the projection data [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing

Hong¹,

Lin

Chen³

et al. 2021

Computational and Mathematical Methods in Medicine

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The study was aimed at exploring the application value of the CT image based on a filtered back projection (FBP) algorithm in the diagnosis of patients with diabetes complicated with tuberculosis and at analyzing the influence of dietary nursing on patients with diabetes complicated with tuberculosis. In this study, the FBP algorithm was used to optimize CT images to effectively obtain reconstructed ROI images. Then, the deviation from measurement values of reconstructed images at different pixel levels was analyzed. 138 patients with diabetes complicated with tuberculosis were selected as research subjects to compare the number of lung segments involved and the CT imaging manifestations at different fasting glucose levels. All patients were divided into the control group (routine drug treatment) and observation group (diet intervention on the basis of drug treatment) by random number table method, and the effect of different nursing methods on the improvement of patients’ clinical symptoms was discussed. The results showed that the distance measurement value decreased with the increase in pixel level, there was no significant difference in the number of lung segments involved in patients with different fasting glucose levels ( P > 0.05 ), and there were statistically significant differences in the incidence of segmental lobar shadow, bronchial air sign, wall-less cavity, thick-walled cavity, pulmonary multiple cavity, and bronchial tuberculosis in patients with different fasting glucose levels ( P < 0.05 ). Compared with the control group, 2 h postprandial blood glucose level in the observation group was significantly improved ( P < 0.05 ), there was a statistical significance in the number with reduced pleural effusion and the number with reduced tuberculosis foci in the two groups ( P < 0.05 ), and the level of hemoglobin in the observation group was 7.1 ± 1.26 , significantly lower than that in the control group ( 8.91 ± 2.03 , P < 0.05 ). It suggested that the changes of CT images based on the FBP reconstruction algorithm were correlated with fasting blood glucose level. Personalized diet nursing intervention can improve the clinical symptoms of patients, which provides a reference for the clinical diagnosis and treatment of patients with diabetes complicated with tuberculosis.

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Section: Introductionmentioning

confidence: 99%

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing

Hong¹,

Lin

Chen³

et al. 2021

Computational and Mathematical Methods in Medicine

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show abstract

“…e noise level and the overall image were improved. Miller et al [18] used the CT reconstruction algorithm to analyze the automatic segmentation performance of the image, and the iterative reconstruction algorithm had greatly improved the automatic segmentation performance. e results of this study also showed that the image quality, blood vessel sharpness, average image score, SNR, and radiation dose of the algorithm were all increased, while the value of noise was reduced, suggesting that the algorithm showed obvious advantages in image processing.…”

Section: Discussionmentioning

confidence: 99%

Multislice Spiral Computed Tomography under Hybrid Iterative Reconstruction Algorithm in Staging Diagnosis of Bladder Cancer and Ceramide Glycosylation

Liu

Jiang

2021

Scientific Programming

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This study was to discuss the application of multislice spiral computed tomography (CT) in the staging diagnosis of bladder cancer and the effect of ceramide glycosylation. The hybrid iterative reconstruction algorithm was applied. Immunohistochemistry and western blot were used to detect the normal bladder tissues (30 cases) of GCS in group 1 (100 cases) and group 2. The scanned images of all the research objects were obtained, the images with the iterative reconstruction algorithm were reconstructed, and statistical analysis on the CT value under the algorithm was conducted. The results showed that the image quality, blood vessel sharpness, average image score, signal-to-noise ratio, and radiation dose after the spiral CT and iterative reconstruction algorithm all increased, while the noise value decreased. The optical density value of glucosylceramide synthase in group 2 patients increased by 71%, and the optical density value of group 1 increased by 29%. The optical density expression of glucosylceramide synthase in group 1 patients was significantly higher than that in the control group, and there was a statistical difference between the two ( P < 0.05 ). Among the results of multislice spiral CT for tumor staging, the lesions larger than 5 cm and in the range of 1.1–2 cm in diameter were more sensitive. In 41 patients, there were multiple lesions. A total of 142 cancer lesions were found. The diameter of the tissue ranged from 0.5 to 6.8 cm, with an average diameter of 2.03 ± 0.35 cm. The optical density of glucosylceramide synthase in the group 1 was 5526, and the optical density in group 2 was 2576. The OD expression of GCS in group 1 was greatly higher in contrast to that in group 2, and there was a statistical difference between the two groups ( P < 0.05 ). The multislice spiral CT examination under this algorithm found that the diagnosis and staging accuracy of lesions with a diameter greater than 5 cm and tumor diameters in the range of 1.1 to 2 cm was higher. The image processed by the hybrid iterative reconstruction algorithm had good effect, high definition, and accuracy.

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“…Spatial resolution and signal-to-noise ratio optimization as well as artifact limitations are prerequisites for constructing useful postprocessing result [15][16][17]. There is no doubt that recent technological developments have strengthened postprocessing possibilities and expanded its applications.…”

Section: Prerequisitesmentioning

confidence: 99%

3D reconstructions, 4D imaging and postprocessing with CT in musculoskeletal disorders: Past, present and future

Blum

Gillet²,

Rauch³

et al. 2020

Diagnostic and Interventional Imaging

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Impact of CT reconstruction algorithm on auto‐segmentation performance

Cited by 5 publications

References 30 publications

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing

CT Image Features of the FBP Reconstruction Algorithm in the Evaluation of Fasting Blood Sugar Level of Diabetic Pulmonary Tuberculosis Patients and Early Diet Nursing

Multislice Spiral Computed Tomography under Hybrid Iterative Reconstruction Algorithm in Staging Diagnosis of Bladder Cancer and Ceramide Glycosylation

3D reconstructions, 4D imaging and postprocessing with CT in musculoskeletal disorders: Past, present and future

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