Research on Procurement Classifcation of Medical Equipment Based on Kraljic Model / 中国医疗器械杂志

Based on the Kraljic model,this paper established the scoring standard system for medical equipment procurement,and determined the weight coefficients of each evaluation factor by the analytic hierarchy process (AHP),then the procurement classification model of medical equipment was successfully established.It is proved that this model can classify medical equipment effectively,which enables the purchasing personnel to adopt corresponding purchasing strategies according to different classification.This model can be extended to all medical equipment procurement,realizing the delicacy and individualized procurement management of the equipment,which has strong operability and guiding significance.

Discussion on Quality Evaluation Method of Medical Device During Life-Cycle in Operation Based on the Analytic Hierarchy Process / 中国医疗器械杂志

The content related to the quality during life-cycle in operation of medical device includes daily use, repair volume, preventive maintenance, quality control and adverse event monitoring. In view of this, the article aims at discussion on the quality evaluation method of medical devices during their life cycle in operation based on the Analytic Hierarchy Process (AHP). The presented method is proved to be effective by evaluating patient monitors as example. The method presented in can promote and guide the device quality control work, and it can provide valuable inputs to decisions about purchase of new device.

A new method for brain vein segmenting based on vessel enhancing filtering / 中国医疗器械杂志

<p><b>OBJECTIVE</b>To segment veins from brain susceptibility weighted images with inhomogeneous background and veins, noises and complex structures.</p><p><b>METHODS</b>Based on vessel enhancing filtering, an adaptive threshold segmenting method and an adaptive threshold region growing method were proposed. The former method was used to exactly segment part of veins from the original images. Taking the veins segmented by the former method as seeds, the later method was used to extract nearly all the veins.</p><p><b>RESULTS</b>For simulation data with serious noises and interferences, correct rate above 90% was achieved. And for clinical data, the veins were extracted accurately and the structures of veins were displayed clearly.</p><p><b>CONCLUSIONS</b>The methods can extract veins from the brain susceptibility weighted images exactly and avoid false segmentation of the other structures effectively. The methods are very robust and stable.</p>

Layer-dependent multi-constrained algorithms based on improved level set for segmentation of teeth MRI-UTE image / 中国医疗器械杂志

<p><b>OBJECTIVE</b>To introduce algorithms for effective segmentation of teeth MRI-UTE image.</p><p><b>METHODS</b>To construct second-segmentation algorithm process based on layer-dependent multi-constrained method. Firstly, a level set method was used to segment the initial boundary from the region determined by user in the reference slice. Secondly, both crown and root of the tooth were segmented by the improved level set method which took the information of the former layer's result as constraint conditions. Finally, the improved level set based on the information of the former and later layer's results was executed for the second time to improve the accuracy of segmentation, in which, the parameter of the overlapping ratio was considered.</p><p><b>RESULTS</b>The accuracy was 86.98% for the first-segmentation and was increased to 88.35% for the second-segmentation. Compared to the two other methods, the accuracy of the algorithms provided was improved significantly (P < 0.05).</p><p><b>CONCLUSIONS</b>The proposed algorithms can effectively achieve the segmentation of teeth MRI-UTE image and has a great improvement on accuracy.</p>