scholarly journals Reconstruction Algorithm-Based Ultrasonic and Spiral CT Images in Evaluating the Effects of Dexmedetomidine Anesthesia for Acute Abdomen

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Pinghua Tian ◽  
Shuhong Zhang ◽  
Linling Guo
Keyword(s):  
Image Reconstruction ◽  
Acute Abdomen ◽  
Reconstruction Algorithm ◽  
Spiral Ct ◽  
Ct Images ◽  
Projection Algorithm ◽  
Control Group ◽  
Anesthetic Drugs ◽  
Time Period ◽  
Experimental Group

Objective. The study focused on the application value of iteration reconstruction algorithm-based ultrasound and spiral computed tomography (CT) examinations, and the safety of dexmedetomidine anesthesia in acute abdominal surgery. Methods. 80 cases having the acute abdomen surgery were selected as the research subjects. They were divided into group A (40 cases) and group B (40 cases) according to the anesthetic drugs used in the later period. The experimental group was injected with propofol, remifentanil, and atracurium combined with dexmedetomidine; the control group was injected with propofol, remifentanil, and atracurium only. After the operation, the patient was for observed for the pain, agitation, adverse reactions, heart rate (HR), and blood pressure. All patients received ultrasound and spiral CT examinations, and based on the characteristics of the back-projection algorithm, an accelerated algorithm was established and used to process the image, and according to which, the patient’s condition and curative effects were evaluated. Results. After image reconstruction, the ultrasound and spiral CT images were clearer with less noise and more prominent lesions than before reconstruction. Before image reconstruction, the accuracy rates of ultrasound and spiral CT in diagnosing acute abdomen were 92.3% and 91.1%, respectively. After reconstruction, the corresponding numbers were 96.3% and 98.1%, respectively. After reconstruction, the accuracy of the two methods in diagnosing acute abdomen was significantly improved compared with that before reconstruction, and the difference was statistically significant ( P < 0.05 ). The Ramsay score of the experimental group was significantly higher than that of the control group at each time period, P < 0.05 ; the agitation score and visual analogue scale (VAS) score of the experimental group were significantly lower than the control group at each time period after waking up, P < 0.05 . Conclusion. Reconstruction algorithm-based ultrasound and spiral CT images have high application value in the diagnosis of patients with acute abdomen, and dexmedetomidine has good safety in anesthesia surgery.

Expression of dopamine transporter in the different cerebral regions of methamphetamine-dependent rats

2014 ◽  
Vol 34 (7) ◽  
pp. 707-717 ◽  
Author(s):  
S-J Hong ◽  
D Zhang ◽  
L-H Zhang ◽  
P Yang ◽  
J Wan ◽  
...  
Keyword(s):  
Dopamine Transporter ◽  
Messenger Rna ◽  
Control Group ◽  
Dynamic Changes ◽  
Time Period ◽  
Significant Difference ◽  
Nucleus Accumbens Septi ◽  
Time Periods ◽  
Behaviour Changes ◽  
Experimental Group

Objectives: To observe the expression of the dopamine transporter (DAT) in six cerebral regions of a methamphetamine (MA)-dependent rat, which were frontal cortex, nucleus accumbens septi, striatum, hippocampus, substantia nigra and ventral tegmental area. Methods: The rats were administrated intraperitoneally with 10 mg/kg/day of MA for 10 days consecutively; the behaviour changes were measured via the conditioned place preference (CPP), and the scores of stereotyped behaviour (SB) were used to confirm animal addiction. Then, the animals were further injected with MA respectively for 1, 2, 4 and 8 weeks to establish different periods of MA-dependent models. The expressions of DAT and DAT messenger RNA in six cerebral regions were detected. Results: The results of CPP and SB scores were significant different when comparing all four experimental groups with the control group ( p < 0.05). Comparing between different experimental groups, the expression of DAT mainly decreased and had dynamic changes in the same regions ( p < 0.05). Comparing the different regions with each other in the same experimental group, the expression of DAT also had significant difference in several regions p < 0.05). Conclusions: The expression of DAT mainly decreased and had different in the six cerebral regions at the same MA-dependent time period as well as at different time periods in the same cerebral region. It was speculated that DAT might play a crucial role in the mechanism of MA dependence.

Rapid Gradient Projection Algorithm for Image Reconstruction

2014 ◽  
Vol 530-531 ◽  
pp. 443-446
Author(s):  
Hai Xia Yan ◽  
Yan Jun Liu
Keyword(s):  
Image Reconstruction ◽  
Compressed Sensing ◽  
Gradient Descent ◽  
Target Function ◽  
Reconstruction Algorithm ◽  
Gradient Projection ◽  
Projection Algorithm ◽  
Descent Direction ◽  
Reconstruction Accuracy ◽  
Gradient Projection Algorithm

In order to improve the speed of compressed sensing image reconstruction algorithm, a rapid gradient projection algorithm for image reconstruction is proposed. In traditional Gradient Projection algorithm, the pursuit direction is alternating, in rapid gradient projection algorithm, we use the Newton's method to calculate the gradient descent direction, thus the constraints conditions of gradient projection is satisfied. And the target function is updated in each iteration computing. The effect of approximation matrix to target function is reduced. The iteration computing times is reduced, because the algorithm works in accurate search direction. Experiment results show that, compared with the GPSR algorithm, the RGPSR algorithm improves the signals reconstruction accuracy, improves PSNR of reconstruction signals, and exhibits higher robustness under different noise intensities.

scholarly journals A preliminary simulated iron fortification trial in South Indian preschool children

1979 ◽  
Vol 41 (3) ◽  
pp. 413-417 ◽  
Author(s):  
Sheila M. Pereira ◽  
Almas Begum ◽  
V. I. Mathan ◽  
S. J. Baker
Keyword(s):  
Preschool Children ◽  
Ferrous Sulphate ◽  
Test Dose ◽  
Control Group ◽  
Iron Fortification ◽  
South Indian ◽  
Time Period ◽  
Ferrous Ascorbate ◽  
The Mean ◽  
Experimental Group

1. The effect of fortification of food with iron to provide 10 mg elemental Fe/child per d was studied in preschool children maintained on a cereal diet, over a 5-month period.2. The absorption of 5 mg Fe as ferrous sulphate mixed in one meal was 3.3% of the test dose and when 3.3 mg was given with each of three meals over a 2 d period the corresponding value was 4.8%.3. The mean absorption of a test dose of ferrous ascorbate studied in twenty-four children midway through the trial was 42%.4. The only beneficial effect of Fe fortification in this time-period in the experimental group was the prevention of the decrease in packed cell volume which occurred in the control group.

Shared responsibility for ongoing rehabilitation: a new approach to home-based therapy after stroke

1999 ◽  
Vol 13 (1_suppl) ◽  
pp. 23-33 ◽  
Author(s):  
Jonathan J Baskett ◽  
Joanna B Broad ◽  
Gabrielle Reekie ◽  
Clare Hocking ◽  
Geoff Green
Keyword(s):  
Controlled Trial ◽  
District General Hospital ◽  
Shared Responsibility ◽  
Control Group ◽  
Day Hospital ◽  
Home Based ◽  
Time Period ◽  
Discharge From Hospital ◽  
Home Based Therapy ◽  
Experimental Group

Objective: To assess the efficacy of a programme of continuing self-directed exercises for people discharged home after a stroke, supervised once a week by therapists. Design: A randomized controlled trial of 100 patients discharged from hospital after a stroke, requiring ongoing therapy. The control group received outpatient or day hospital therapy; the experimental group were visited once a week by an occupational and/or physiotherapist who prescribed a programme of exercises and activities for the following week. Subjects were studied for the first three months after discharge from hospital. Setting: A district general hospital, or the homes of subjects randomized to the experimental group, in New Zealand. Main outcome measures: (1) Characteristics of the groups, (2) gait speed, limb function, activities of daily living, (3) time with therapists, (4) mood of both subjects and caregivers, (5) anticipation of outcome at entry, compared with perceived outcome at exit. Results: No statistical differences between the control and experimental groups in characteristics, or in any outcomes measured, except that the contact time period, but not the number of visits, was longer in the experimental group (p = 0.003). Conclusions: A supervised home-based programme is as effective as outpatient or day hospital therapy.

scholarly journals The Value of Iterative Reconstruction of Algorithm-Based Coronary Artery Computed Tomography Imaging in the Diagnosis of Old Myocardial Infarction

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Liang Guo ◽  
Lu Ren ◽  
Yajun Shao ◽  
Wei Li ◽  
Shangxian Yu
Keyword(s):  
Coronary Artery ◽  
Image Quality ◽  
Iterative Reconstruction ◽  
Reconstruction Algorithm ◽  
Quality Parameters ◽  
Control Group ◽  
Iterative Reconstruction Algorithm ◽  
Algebraic Iterative Reconstruction ◽  
Experimental Group ◽  
Number Of Iterations

The objective of this study was to compare the diagnostic value of computed tomography (CT) based on iterative reconstruction algorithm in old myocardial infarction (OMI), thereby providing theoretical guidance and practical basis for clinical treatment. In this study, in order to provide theoretical guidance and practical basis for the diagnosis and treatment of clinical OMI, 10 patients with OMI were selected and divided into two groups, with 5 patients in each group. In addition, an algebraic iterative reconstruction algorithm is constructed, which starts from the initial estimation value, compares, and corrects the estimation results and the measured results continuously until the error between the two results is less than the predetermined value. The experimental group was optimized by algebraic iterative reconstruction algorithm, and the control group was reconstructed by the hospital original method. The image quality parameters under different iteration times were analyzed and compared to obtain the optimal iteration times. The value of iterative reconstruction algorithm in clinical diagnosis was investigated by analyzing the time of drawing and the accuracy of diagnosis after drawing. Through the analysis and comparison of the image quality parameters of the patients from the experimental group, it was found that the image quality firstly increased with the increase in the number of iterations but decreased with the increase of the number of iterations after a certain number of iterations. The results showed that the optimal number of iterations was 13 times. The drawing time of the experimental group and the control group was 54.27 minutes and 117.87 minutes in turn, so the difference between the two groups was significant ( P < 0.05 ). Besides, there was a statistically marked difference in the accuracy rate of the experimental group (93.33%) and the control group (73.33%) ( P < 0.05 ). In conclusion, the time required for coronary artery CT imaging using algebraic iterative reconstruction algorithm was greatly reduced and the diagnostic accuracy was hugely improved. Therefore, the coronary artery CT imaging based on iterative reconstruction algorithm could make more effective use of medical resources and improve the diagnostic accuracy in the diagnosis of OMI.

scholarly journals Intelligent Algorithm-Based Multislice Spiral Computed Tomography to Diagnose Coronary Heart Disease

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Shaowen Tan ◽  
Zili Xu
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Coronary Artery ◽  
Expectation Maximization ◽  
Spiral Ct ◽  
Ct Images ◽  
Control Group ◽  
Observation Group ◽  
Research Subjects ◽  
Number Of Iterations

In this study, dictionary learning and expectation maximization reconstruction (DLEM) was combined to denoise 64-slice spiral CT images, and results of coronary angiography (CAG) were used as standard to evaluate its clinical value in diagnosing coronary artery diseases. 120 patients with coronary heart disease (CHD) confirmed by CAG examination were retrospectively selected as the research subjects. According to the random number table method, the patients were divided into two groups: the control group was diagnosed by conventional 64-slice spiral CT images, and the observation group was diagnosed by 64-slice spiral CT images based on the DLEM algorithm, with 60 cases in both groups. With CAG examination results as the standard, the diagnostic effects of the two CT examination methods were compared. The results showed that when the number of iterations of maximum likelihood expectation maximization (MLEM) algorithm reached 50, the root mean square error (RMSE) and peak signal to noise ratio (PSNR) values were similar to the results obtained by the DLEM algorithm under a number of iterations of 10 when the RMSE and PSNR values were 18.9121 dB and 74.9911 dB, respectively. In the observation group, 28.33% (17/60) images were of grade 4 or above before processing; after processing, it was 70% (42/60), significantly higher than the proportion of high image quality before processing. The overall diagnostic consistency, sensitivity, specificity, and accuracy (88.33%, 86.67%, 80%, and 85%) of the observation group were better than those in the control group (60.46%, 62.5%, 58.33%, and 61.66%). In conclusion, the DLEM algorithm has good denoising effect on 64-slice spiral CT images, which significantly improves the accuracy in the diagnosis of coronary artery stenosis and has good clinical diagnostic value and is worth promoting.

scholarly journals Deep Learning-Based CT Image Characteristics and Postoperative Anal Function Restoration for Patients with Complex Anal Fistula

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Lingling Han ◽  
Yue Chen ◽  
Weidong Cheng ◽  
He Bai ◽  
Jian Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Anal Fistula ◽  
Postoperative Recurrence ◽  
Ct Images ◽  
Control Group ◽  
Research Subjects ◽  
Anal Function ◽  
Imaging Results ◽  
Experimental Group

Objective. This study aimed to optimize the CT images of anal fistula patients using a convolutional neural network (CNN) algorithm to investigate the anal function recovery. Methods. 57 patients with complex anal fistulas admitted to our hospital from January 2020 to February 2021 were selected as research subjects. Of them, CT images of 34 cases were processed using the deep learning neural network, defined as the experimental group, and the remaining unprocessed 23 cases were in the control group. Whether to process CT images depended on the patient’s own wish. The imaging results were compared with the results observed during the surgery. Results. It was found that, in the experimental group, the images were clearer, with DSC = 0.89, precision = 0.98, and recall = 0.87, indicating that the processing effects were good; that the CT imaging results in the experimental group were more consistent with those observed during the surgery, and the difference was notable ( P < 0.05 ). Furthermore, the experimental group had lower RP (mmHg), AMCP (mmHg) scores, and postoperative recurrence rate, with notable differences noted ( P < 0.05 ). Conclusion. CT images processed by deep learning are clearer, leading to higher accuracy of preoperative diagnosis, which is suggested in clinics.

scholarly journals Computed Tomography Image Feature under Intelligent Algorithms in Diagnosing the Effect of Humanized Nursing on Neuroendocrine Hormones in Patients with Primary Liver Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiujie Wang ◽  
Lin Liu ◽  
Na Ma ◽  
Xinxin Zhao
Keyword(s):  
Computed Tomography ◽  
Liver Cancer ◽  
Primary Liver Cancer ◽  
Ct Images ◽  
Image Feature ◽  
Control Group ◽  
Intelligent Algorithms ◽  
Residual Coding ◽  
Computed Tomography Image ◽  
Experimental Group

This study was to explore the application value of computed tomography (CT) images processed by intelligent algorithm denoising in the evaluation of humanized nursing in postoperative neuroendocrine hormone changes in patients with primary liver cancer (PLC). In this study, a simple-structured recursive residual coding and decoding (RRCD) algorithm was constructed on the basis of residual network, which can effectively remove artifacts and noise in CT images and can also restore image details and lesion features well. In addition, 60 postoperative patients with primary liver cancer were collected and divided into routine nursing control group (30 cases) and humanized nursing experimental group (30 cases). After a period of nursing, CT images based on intelligent algorithms were evaluated by determining the hormone content. The results showed that the focal necrosis rate (FNR) of the experimental group was 6%. The adrenocorticotropic hormone (ACTH) levels of 6 and 15 days after admission (T3 and T4) were 41.25 ± 3.81 pg/mL and 19.55 ± 1.72 pg/mL, respectively. The cortisol levels of days 6, 15, and 30 after admission (T3, T4, and T5) were 424.86 ± 16.82 nmol/L, 277.98 ± 14.36 nmol/L, and 241.53 ± 13.27 nmol/L, respectively. Estradiol levels were 53.48 ± 11.19 pg/mL, 41.64 ± 9.28 pg/mL, and 30.59 ± 8.16 pg/mL, respectively. Testosterone levels were 2.18 ± 1.14 ng/mL, 1.78 ± 1.03 ng/mL, and 1.42 ± 0.69 ng/mL, respectively. Self-Rating Anxiety Scale (SAS) scores were 40.24 ± 5.81 points, 36.55 ± 5.02 points, and 32.53 ± 4.8 points, respectively. There were 24 cases, 27 cases, 23 cases, and 21 patients who followed no smoking and drinking, taking medication on time, diet control, and self-monitoring. The scores of physical function, self-cognition, emotional function, and social function were 62.59 ± 6.82 points, 69.26 ± 8.14 points, 73.89 ± 6.35 points, and 66.88 ± 7.04 points, which were better than those of the control group in all aspects ( P < 0.05 ). In short, the humanized nursing course can enhance the compliance of the patients after the surgery, improve the quality of life, and inhibit the anxiety and depression of the patients, so it showed a positive effect on the neuroendocrine hormones and the prognosis of the patients.

Simulative Study of Two-Phase Homogenous and Isotropic Media Imaging using Magnetic Induction Tomography

2014 ◽  
Vol 69 (8) ◽  
Author(s):  
Zulkarnay Zakaria ◽  
Ibrahim Balkhis ◽  
Lee Pick Yern ◽  
Nor Muzakkir Nor Ayob ◽  
Mohd Hafiz Fazalul Rahiman ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Magnetic Induction ◽  
Optical Tomography ◽  
Reconstruction Algorithm ◽  
Projection Algorithm ◽  
Back Projection ◽  
Two Phase ◽  
Excitation Coil ◽  
Magnetic Induction Tomography ◽  
Linear Back Projection

Magnetic induction tomography is a new non-invasive technology, based on eddy current discovery of electromagnetic induction by Michael Faraday. Through this technique, the passive electrical properties distribution of an object can be obtained by the use of image reconstruction algorithm implemented in this system. There are many types of image reconstruction that have been developed for this modality, however in this paper only two algorithms discussed, Linear Back Projection and Eminent Pixel Reconstruction. Linear Back Projection algorithm is the most basic type of image reconstruction. It is the simplest and fast algorithm out of all types of algorithms, whereas Eminent Pixel Reconstruction algorithm is an improved algorithm which provided better images and has been implemented in other modalities such as optical tomography. This paper has implemented Eminent Pixel Reconstruction in magnetic induction tomography applications and the performance is compared to Linear Back Projection based on the simulation of the fourteen types of simulated phantoms of homogenous and isotropic conductivity property. It was found that Eminent Pixel Reconstruction has produced better images relative to Linear Back Projection, however the images are still poor when the objects are located near to the excitation coil or sensor and it is worse when the distance between objects are near to each other.

scholarly journals Imaging Features of Artificial Intelligence Algorithm in the Analysis of Cerebral Protective Effect of Craniotomy Hematoma Removal under Propofol Anesthesia in Patients with Chronic Subdural Hematoma

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Manyun Bai ◽  
Yufang Li ◽  
Qian Zhao ◽  
Renzhong Guo
Keyword(s):  
Artificial Intelligence ◽  
Protective Effect ◽  
Subdural Hematoma ◽  
Chronic Subdural Hematoma ◽  
Ct Images ◽  
Control Group ◽  
Brain Ct ◽  
Intelligence Algorithm ◽  
Artificial Intelligence Algorithm ◽  
Experimental Group

Objective. The aim of this work was to study the cerebral protective effect of craniotomy hematoma removal under propofol anesthesia based on the artificial intelligence algorithm analysis of the changes in imaging characteristics of chronic subdural hematoma (CSDH) patients. Methods. A total of 60 CSDH patients who were treated in hospital were recruited and were randomly rolled into an experimental group and a control group, with 30 people in each group. Patients in the experimental group were treated with propofol anesthesia + craniotomy hematoma removal, while those in the control group were treated with conventional anesthesia + craniotomy hematoma removal. Head CT examinations were performed on the next day, one week, one month, three months, and six months after the operation. A two-dimensional empirical mode decomposition (BEMD) algorithm was used for edge detection and denoising of brain CT images of CSDH patients. Then, the amount of hematoma was calculated, and the Markwalder grading was performed to evaluate the neurological function. The number of recurrence and reoperation cases within six months of follow-up was collected. Results. 1. The quality of CT images was remarkably improved after processing with artificial intelligence algorithms. 2. The amount of hematoma in the experimental group was remarkably lower than that in the control group at January, March, and June after surgery (12.89 ± 2.12 VS 20.32 ± 16.41; 7.55 ± 4.13 VS 15.88 ± 14.22; 3.39 ± 3.79 VS 6.55 ± 3.69, P < 0.05 ). 3. The experimental group was remarkably better than the control group in Markwalder grading three months and six months after the operation ( P < 0.05 ). Conclusion. Artificial intelligence algorithm had good effect on the brain CT image processing of CSDH patients, and craniotomy hematoma removal under propofol anesthesia had an ideal brain protection effect.

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