Optimized Algebraic Reconstruction Algorithm Based Hemodynamic Changes in Color Doppler Ultrasound in Monitoring the Patients with Colorectal Cancer Undergoing Peripherally Inserted Central Catheter and Catheterization Nursing

The purpose of this study was to analyze the hemodynamic changes and nursing care of patients with colorectal cancer who were peripherally placed into the central venous catheter (PICC) by color Doppler ultrasound based on an optimized algebraic reconstruction (ART) (OART) algorithm. In this study, 150 patients with colorectal cancer were selected and randomly divided into observation group and control group, with 75 cases in each group. Different nursing interventions were carried out. An optimized algebraic reconstruction (OART) algorithm was proposed, and the traditional ART algorithm and filtered back-projection (FBP) algorithm were introduced for comparison. They were applied in ultrasounds of 150 colorectal cancer patients undergoing PICC. The results showed that the Dice coefficient (Dice) and peak signal-to-noise ratio (PSNR) of the OART algorithm were greater than those of the ART and FBP algorithms, while the difference function (DF) and the running time were opposite ( P < 0.05). The blood flow velocity (BFV) and blood flow (BF) of the arm vein 5 days after puncture were the least, which were less than those before puncture and 10 days and 30 days after puncture ( P < 0.05). Thrombosis was most likely to be found 4–6 days after puncture (28 cases), followed by 10–15 days after puncture (22 cases), and one day after the puncture (19 cases). The BFV and BF of patients with thrombosis were lower than those of patients without thrombosis ( P < 0.05). The total infection rate of PICC in the observation group was 10.7%, which was lower than that in the control group 32.0%, P < 0.05. Nursing satisfaction of patients in observation group and control group was 95.99% and 75.99%, respectively, P < 0.05, and the difference was statistically significant. In short, the ORAT algorithm proposed had better performance than the traditional algorithms in ultrasound image reconstruction; strengthening nursing intervention for chemotherapy patients with colorectal cancer undergoing PICC could effectively reduce the infection rate of PICC and improve the nursing satisfaction of patients.

Cartilage Injury after Patellar Dislocation Surgery and Evaluation of the Effect of Platelet-Rich Plasma Treatment by Algebraic Reconstruction Techniques Based MRI

The study focused on the application value of Algebraic Reconstruction Techniques (ART) based magnetic resonance imaging (MRI) in the diagnosis of cartilage injury in patients with patellar dislocation, as well as the treatment effect of platelet-rich plasma (PRP). 50 patients with patellar dislocation admitted to the hospital were selected as the research subjects, and they were randomly divided into the experimental group (lateral retinaculum plasty and PRP treatment) and the control group (lateral retinaculum plasty), with 25 cases in each group. The ART-based MRI technology was used to judge the recovery of patients after surgery and analyze the differences in clinical data between the two groups. The results showed that the running speed under ART algorithm was significantly faster than the traditional Joseph algorithm and Siddon algorithm, and the image reconstruction effect was better. The visual analog scale (VAS) scores of preoperative and postoperative pain and the Hospital for Special Surgery (HSS) score in the experimental group were better than those of the control group ( P < 0.05 ). In conclusion, the ART-based MRI technology can clearly show cartilage injury and the PRP treatment can effectively relieve postoperative pain, with reliable curative effects and simple operations.

Limited-angle weighted ultrasonic back-projection imaging with ART algorithm imaging

Ultrasonic through-transmission data processed using the back-projection algorithm offers depth and lateral information about a defect beyond the capabilities of current through-transmission techniques. This technique was trialled on a carbon steel block containing side-drilled holes. Imaging artefacts can arise from the use of the backprojection algorithm, due to applying a weighting of one to each pixel, irrespective of how much of the pixel is intersected by the beam. Noise can also occur within the image where there are few intersections of the pixels made. This is seen at the edges of the image. In this paper, a novel back-projection technique utilises the weighting of pixels, dependent on the normalised weight of the beam that intersects them, to reduce any artefacts that occurred previously due to the backprojection algorithm. This paper also explores the use of the algebraic reconstruction technique (ART) algorithm for noise removal, thus increasing the sharpness of the defect.