Technical Note: Evaluation of an iterative reconstruction algorithm for optical <scp>CT</scp> radiation dosimetry

Dekker, Kurtis H; Battista, Jerry; Jordan, Kevin

doi:10.1002/mp.12635

Cited by 14 publications

(10 citation statements)

References 41 publications

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“…The etiology and pathogenesis of gastric cancer still remain unclear. The early diagnosis rate is low because of a lack of tumor markers that can be used for early diagnosis [ 4 ]. Traditional treatment mainly uses fluorouracil or cisplatin, whereas they have large side effects and a low effective rate.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Algorithm-Based CT Imaging for Evaluation of Efficacy of Docetaxel Combined with Fluorouracil on Patients with Gastric Cancer

Chen

Wang

Ding³

et al. 2021

Journal of Healthcare Engineering

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The study focused on the dual-source computed tomography (CT) images segmented by the decision tree algorithm, to explore the efficacy of docetaxel combined with fluorouracil therapy on gastric patients undergoing chemotherapy. In this study, 98 patients with gastric cancer who were treated in the hospital were selected as the research subjects. The decision tree algorithm was applied to segment dual-source CT images of gastric cancer patients. The decision tree is established according to the feature ring and the segmentation position. The machine inductively learns from the decision tree to extract the features of the CT image to obtain the optimal segmentation boundary. The observation group was treated with docetaxel combined with fluorouracil, and the control group was treated with docetaxel combined with tegafur gimeracil oteracil potassium capsules. The general data of the two groups of patients were comparable and not statistically significant ( P > 0.05 ). The two groups were compared for clinical efficacy, physical status, KPS score, improvement rate, and adverse drug reactions after treatment. The results showed that the improvement rate of physical fitness in the observation group was 38.78%, and the improvement rate in the control group was 18.37%. The total effective rate in the observation group was 42.85%, and the total effective rate in the control group was 36.73%. Obviously, the curative effect and improvement rate of physical fitness in the observation group were significantly better than those in the control group ( P < 0.05 ). In conclusion, the decision tree algorithm proposed in this study demonstrates superb capabilities in feature extraction of CT images. The machine inductively learns from the decision tree to extract the features of the CT image to obtain the optimal segmentation boundary. The effect of docetaxel combined with fluorouracil is better than that of docetaxel combined with tegafur gimeracil oteracil potassium capsules.

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Section: Introductionmentioning

confidence: 99%

Intelligent Algorithm-Based CT Imaging for Evaluation of Efficacy of Docetaxel Combined with Fluorouracil on Patients with Gastric Cancer

Chen

Wang

Ding³

et al. 2021

Journal of Healthcare Engineering

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“…Iterative reconstruction (IR) algorithm is a new infrared ray technology that can get the images conforming to the diagnostic requirements under lower scanning conditions. The calculation of IR algorithm is more, which takes a long time, and it is a good reconstruction method when the projection data were incomplete and with noisy [10]. The optimized CT reconstruction algorithm based on original CT collected data can reduce the noise on the image and improve the signal-to-noise ratio (SNR) of the image and thereby enhancing spatial and density resolution of the image.…”

Section: Introductionmentioning

confidence: 99%

Computed Tomography Three-Dimensional Reconstruction Algorithm in the Diagnosis of Periodontitis and Its Correlation with Hypertension

Pan

Liu

et al. 2022

Computational and Mathematical Methods in Medicine

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This study was aimed at exploring the value of iterative reconstruction (IR) algorithm to treat the periodontitis using computed tomography (CT) image and analyze the relationship between periodontitis and hypertension. 95 patients with periodontitis were selected, including 43 patients with periodontitis, 41 patients with advanced periodontitis and hypertension, and 11 patients with periodontitis and nonhigh blood pressure (NBP). The IR algorithm was introduced to the CT image scanning of them to reduce the noise. In addition, the CT value was statistically analyzed. High-sensitivity C-reactive protein (hs-CRP) and interleukin 6 (IL-6) were dramatically increased compared with periodontitis patients with NBP and with hypertension ( P < 0.05 ). After the IR algorithm of the image, the quality, information, and mean square error (MSE) of the image were all effectively improved. Image with a 50% dose showed the lowest noise, but the reconstruction algorithm improved the low-contrast resolution. Moderate and severe periodontitis was independently related to hypertension. Inflammatory cytokines were independently related to hypertension of periodontitis patients ( P < 0.05 ). Therefore, it was concluded that the IR algorithm could effectively improve the spatial resolution of the CT image when it was adopted to treat periodontitis and showed a high accuracy rate; the incidence of hypertension in patients with periodontitis was relatively high, and it had a certain relationship with periodontitis; and inflammatory cytokines were related to periodontitis and hypertension of patients.

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“…Mainly, iterative and analytical image reconstruction methods are applied in medical imaging modalities such as the optoacoustic tomography (OAT) (or photoacoustic tomography (PAT)) (Paltauf et al, 2002;Wang et al, 2012), the optical tomography (OT) (Dekker, Battista, & Jordan, 2017;Klose & Hielscher, 1999), the diffuse optical tomography (DOT) (Üncü et al, 2017;Sevim et al, 2017;Mercan et al, 2017;Mercan et al, 2019), the computed tomography (CT) (Sidky et al, 2006;Biguri et al, 2017) and the digital breast tomosynthesis (DBT) (Oliveira et al, 2016;Polat & Yildirim, 2018;Polat et al, 2019a). The CT, developed by Hounsfield and Cormack in the 1970s (Nobel Media AB, 2014;Raju, 1999), enables three-dimensional (3D) images of the examined part of the body like the head, chest, and breast.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Analysis of Alpha-Parametric Set for the Calculation of Intersection Lengths of Radiological Ray Path in Siddon's Algorithm Used in 3D Image Reconstruction

Polat

2021

Journal of Advanced Research in Natural and Applied Sciences

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The Siddon algorithm is one of the radiological ray path (x-ray) calculation tools used in 3D image reconstruction in medical imaging. In the algorithm, a set of alpha-parametric values is computed containing the length and index values where the voxel array of the x-ray intersects the x-y-z axes. In the alpha-set creation section of the Siddon algorithm, the set elements are sorted from small to large, but some elements have been noticed to have the same value in simulations. These elements are used to calculate which voxels are hit by the ray along the radiological path and at what ratio, but it was recognized that some values of the set were zero, which means some rays did not intersect some voxels at all. This situation may lead to data loss in 3D image reconstructions in medical imaging such as digital breast tomosynthesis (DBT) and computed tomography (CT) especially for huge dimensions such as size up to 800×800×50. Considering the mentioned problems, in this study, the effect of using or eliminating the same repetitive values in the alpha parametric set of the Siddon algorithm on calculations was investigated. To prove our proposal, we performed 3D image reconstruction (lossless and lossy) of a synthetic phantom at a size of 100×100×50. Using special functions that do not take into account the duplicate values in the algorithm, excluding the duplicate values from the calculation solved the stated problems (lossless reconstruction). In this way, data loss that may occur in 3D image reconstruction was reduced since voxel indices and intersection lengths were matched correctly and meaningfully.

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Technical Note: Evaluation of an iterative reconstruction algorithm for optical CT radiation dosimetry

Abstract: Overall, the results indicate that OSC-TV is a suitable reconstruction algorithm for gel dosimetry, provided care is taken in setting the regularization parameter when reconstructing objects that are small compared to the scanner field of view.

Cited by 14 publications

References 41 publications

Intelligent Algorithm-Based CT Imaging for Evaluation of Efficacy of Docetaxel Combined with Fluorouracil on Patients with Gastric Cancer

Intelligent Algorithm-Based CT Imaging for Evaluation of Efficacy of Docetaxel Combined with Fluorouracil on Patients with Gastric Cancer

Computed Tomography Three-Dimensional Reconstruction Algorithm in the Diagnosis of Periodontitis and Its Correlation with Hypertension

Comprehensive Analysis of Alpha-Parametric Set for the Calculation of Intersection Lengths of Radiological Ray Path in Siddon's Algorithm Used in 3D Image Reconstruction

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