Abstract
This study was to explore the therapeutic effect of magnetic resonance imaging (MRI) images based on the image processing algorithm under the correlation of dyadic wavelet coefficients on the diagnosis of tibial osteomyelitis patients. 32 tibial osteomyelitis patients admitted to hospital were randomly selected as the research objects. According to the patients’ wishes, patients who were willing to use new MRI imaging techniques for disease detection were set as the experimental group and conventional MRI imaging detection methods were set as the control group. The application effect of the new MRI imaging technology was evaluated by comparing the treatment effect of the two groups of patients. It was found that the mean square error (MSE) (38.5642) and signal-to-noise ratio (SNR) (18.5122) processed by the improved wavelet algorithm were much better than those of unimproved dyadic wavelet algorithm (59.1096 and 15.2341) ( P < 0.05 ). The possibilities of soft tissue swelling, bone invasion or destruction, thickening and sclerosis of bone cortex, bone abscess, periosteum response, dense dead bone, and bone sinus of patients in the experimental group were higher than those of the control group, which were 100% vs. 55%, 100% vs. 80%, 92% vs. 65%, 50% vs. 25%, 42% vs. 15%, 67% vs. 45%, and 50% vs. 15%, respectively ( P < 0.05 ). The healing time of osteomyelitis (22.89 ± 2.19 d vs. 32.32 ± 2.81 d) and the recovery of wound infection (14% vs. 45%) in the patients in control and experimental groups showed that the results of the experimental group were obviously better than those of the control group. The kappa value of the diagnosis results and tissue biopsy of the experimental group was higher than that of the control group (0.45 vs. 0.34) ( P < 0.05 ). In conclusion, the results of the enhanced and improved MRI images were relatively more accurate and the treatment methods adopted were more symptomatic, resulting in more effective treatment. In addition, the wavelet algorithm had certain application value in the enhancement processing of medical images and showed a good development prospect.
Highlights
Osteomyelitis refers to the purulent inflammation involving the bone marrow, bone, and periosteum
Osteomyelitis can occur at any age and is most common in children between 2 and 10 years old. e typical clinical manifestations are sudden frequent onsets, chills, high fever, severe pain in the affected limb, refusal to move, and obvious tenderness [2, 3]. e infection pathways of osteomyelitis mainly include blood-borne dissemination, direct infection after trauma, and direct spread of adjacent soft tissue infections [4]. e main sites of osteomyelitis are the long bones, which are tibia, common bone, humerus, and radius according to the order of incidence. e most common sites in children are long bones with good blood supply, such as the metaphysis of the tibia or femur [5, 6]
As a very common disease in orthopedic surgery, traumatic tibial osteomyelitis is mainly caused by the infection of bone tissue caused by various traumas, which leads to multiple tissue systems such as periosteum, medullary cavity, and soft tissue [7]
Summary
Osteomyelitis refers to the purulent inflammation involving the bone marrow, bone, and periosteum. It is mainly caused by aerobic or anaerobic bacteria, mycobacteria, and fungi [1]. As a very common disease in orthopedic surgery, traumatic tibial osteomyelitis is mainly caused by the infection of bone tissue caused by various traumas, which leads to multiple tissue systems such as periosteum, medullary cavity, and soft tissue [7]. Infection control and complete lesion removal are often used to treat patients with traumatic tibial osteomyelitis. After the lesion is removed, bone exposure and surrounding soft tissue defects are likely to occur, which brings certain difficulties to clinical
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