ObjectiveTo retrospectively analyze the clinical outcome of patients with iatrogenic peripheral nerve injury so as to summarize the experiences and lessons.MethodsA retrospective study was performed on 72 patients with iatrogenic peripheral nerve injury treated in our hospital from 2004 to 2010.Therapy methods included conservative treatment in 24 patients,surgical release in 21 and nerve anastomosis in 27.Results All the patients were followed up for average 10 months ( range,3-24months).The neurological recovery was excellent in 24 patients,good in 21,fair in 16 and poor in 11,with excellent rate of 64％,according to the trial standard of upper limb functional assessment established by Chinese Medical Society of Hand Surgery.ConclusionsRisk awareness should be strengthened on the iatrogenic peripheral nerve injury,especially the minimally invasive treatment of fractures in recent years,which has increased the risk of nerve injury.For patients who may be presented with iatrogenic injury,we should develop a detailed preoperative surgical plan for early one stage treatment as possible.

Objective: To explore the clinical value of echocardiography in differential diagnosis of segmental wall motion abnormalities in coronary heart disease(CHD), and to provide help for clinical treatment. Methods: From January 2017 to November 2018, 56 patients with segmental abnormal wall motion of CHD in Yuyao People's Hospital of Zhejiang Province were selected in the study.All patients were diagnosed by echocardiography and coronary angiography.The diagnostic coincidence rate, specificity, sensitivity, false negative rate, false positive rate and accuracy of echocardiography were evaluated. Results: Coronary angiography showed abnormal segmental wall motion in 56 patients, with 100.00% anastomosis rate.Echocardiography revealed abnormal segmental wall motion in 54 patients with CHD, 2 patients showed normal segmental wall motion, anastomosis rate was 96.43%.There was no statistically significant difference between the two diagnostic methods(χ²=0.635, P=0.152), but the specificity of ultrasound diagnosis(80.36%), sensitivity(78.57%) and accuracy(80.36%) were lower than those of coronary angiography(100.00%, 98.21%, 100.00%), there were statistically significant differences (χ²=4.173, P=0.034; χ²=5.154, P=0.024; χ²=4.173, P=0.034). Conclusion Cardiac echocardiography has a high diagnostic value in differential diagnosis of segmental wall motion abnormalities in CHD.It can guide the clinical treatment of these patients to formulate a reasonable treatment plan.Moreover, it is easy to operate, with low cost and more acceptable to patients.

A Fast Multi-resolution Volume Rendering Method (FMVRM) based on wavelet and Shear-Warp is herein proposed. In this method, the medical volume data is compressed using wavelet transformation first. Then based on the set resolution, the medical volume data is decompressed guided by Opacity transfer function (OTF). Finally, the 3D medical image is reconstructed on the basis of Shear-Warp using Block-based run length encoded (BRLE) data structure, in which, the aliasing artifacts resulting from under-sampling in Shear-Warp is avoided by the pre-integrated volume rendering technology. Experiments demonstrate the good performance of the proposed method.
Algorithms ; Artifacts ; Data Compression ; methods ; Humans ; Imaging, Three-Dimensional ; methods

Limited by the imaging principle of whole body bone SPECT image, the gray value of bladder area is quite high, which affects the image's brightness, contrast and readability. In the meantime, the similarity between bladder area and focus makes it difficult for some images to be segmented automatically. In this paper, an improved Snake model, GVF Snake, is adopted to automatically segment bladder area, preparing for further processing of whole body bone SPECT images.
Algorithms ; Bone and Bones ; diagnostic imaging ; Humans ; Image Processing, Computer-Assisted ; Models, Anatomic ; Tomography, Emission-Computed, Single-Photon ; methods ; Urinary Bladder

Based on the characteristic of the PET-CT multimodal image series, a novel image registration and fusion method is proposed, in which the cubic spline interpolation method is applied to realize the interpolation of PET-CT image series, then registration is carried out by using mutual information algorithm and finally the improved principal component analysis method is used for the fusion of PET-CT multimodal images to enhance the visual effect of PET image, thus satisfied registration and fusion results are obtained. The cubic spline interpolation method is used for reconstruction to restore the missed information between image slices, which can compensate for the shortage of previous registration methods, improve the accuracy of the registration, and make the fused multimodal images more similar to the real image. Finally, the cubic spline interpolation method has been successfully applied in developing 3D-CRT (3D Conformal Radiation Therapy) system.
Algorithms ; Artificial Intelligence ; Diagnostic Imaging ; methods ; Humans ; Image Enhancement ; instrumentation ; methods ; Image Interpretation, Computer-Assisted ; instrumentation ; methods ; Imaging, Three-Dimensional ; instrumentation ; methods ; Pattern Recognition, Automated ; methods ; Positron-Emission Tomography ; instrumentation ; methods ; Radiotherapy Planning, Computer-Assisted ; instrumentation ; methods ; Tomography, X-Ray Computed ; instrumentation ; methods

In this paper, BP neural network is used to segment whole body bone SPECT image so that the lesion area can be recognized automatically. For the uncertain characteristics of SPECT images, it is hard to achieve good segmentation result if only the BP neural network is employed. Therefore, the segmentation process is divided into three steps: first, the optimal gray threshold segmentation method is employed for preprocessing, then BP neural network is used to roughly identify the lesions, and finally template match method and symmetry-removing program are adopted to delete the wrongly recognized areas.
Algorithms ; Bone and Bones ; diagnostic imaging ; Humans ; Image Interpretation, Computer-Assisted ; methods ; Neural Networks (Computer) ; Pattern Recognition, Automated ; methods ; Tomography, Emission-Computed, Single-Photon ; Whole Body Imaging