Abstract

Objective. This paper uses an optimized registration algorithm to analyze the diffusion-weighted imaging (DWI) scan parameters of acute ischemic stroke (AIS) in the memory function of stroke patients under exercise relearning (MRP). Methods. This study used a random case-control study. 65 patients with stroke and hemiplegia were randomly divided into a control group: conventional rehabilitation intervention (32 cases), and a treatment group: MRP (33 cases). Each patient uses 4 parameters for DWI examination and obtains 4 sets of images, group 1 is the control sequence, group 2 uses parallel acquisition technology, group 3 uses parallel acquisition technology and reduces the number of excitations, group 4 uses parallel acquisition technology to reduce repetition time (TR) and echo time (TE) and enlarge the field of view, and the scan time of each group is 177, 81, 23, and 18 s in sequence. At the time of enrollment and after 12 weeks of treatment, patients in each group were evaluated with Fugl-Meyer motor function score (FMA) and modified Pap index (MBI) for hand and wrist motor function and ADL. Results. After treatment, the FMA and MBI values of the treatment group were significantly higher than those of the control group ( P < 0.05 ). Conclusion. By adopting a parallel acquisition technique and reducing the number of excitations (group 3) scanning scheme, not only the scanning time is significantly shortened, but also the image quality can meet the diagnostic requirements, which has great application value for AIS patients who need emergency treatment. MRP can obviously promote the hand and wrist motor function and daily living ability of stroke hemiplegic patients.

Highlights

  • Stroke (AIS) is a major disease that seriously threatens human health

  • Using GE’s SignaHDe1.5T superconducting MR equipment, 8-channel head, and neck combined coil, all patients underwent cross-sectional Diffusion-weighted imaging (DWI) examination of 4 parameters and obtained 4 sets of images, using a single excitation plane echo sequence, and applied diffusion-sensitive gradients, diffusion gradient factors (b value) in slice selection, phase encoding, and frequency encoding directions, respectively. e scanning schemes and parameters of each group are shown in Table 1, and scanning speed of each group is 1000 s/mm2

  • The SE-EPIDWI sequence was used. e small b value of DWI reflected the microcirculation of local tissues to a certain extent, but the measured ADC value was less stable, susceptible to other physiological activities, and could not effectively reflect the diffusion of water molecules

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Summary

Introduction

Stroke (AIS) is a major disease that seriously threatens human health. Both mortality and disability rate are very high. Most survivors are left with different degrees of disability, generally with motor dysfunction, especially paralyzed hand and wrist movements. Dysfunction has a greater impact on patients’ independence in daily life. E recovery of hand and wrist motor function in stroke paralysis has always been a problem, which has caused the decline of daily living ability to a large extent. Diffusion-weighted imaging (DWI) can detect cerebral infarction early, assess prognosis, and make a differential diagnosis of other diseases with similar clinical signs and signs to AIS, which plays an important role in the imaging diagnosis of ASI. Conventional scanning parameters are not suitable for severe and uncooperative patients and cannot be widely used to screen the effects of thrombolytic therapy in ASI patients

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