An algorithm for separating overlapped protein spots based on valley characteristics / 生物医学工程学杂志

To separate the overlapped protein spots in two-dimensional gel electrophoresis (2-DE) images, we proposed an auto-separating algorithm based on valley characteristics. Firstly, the marker-controlled watershed algorithm was used to detect the initial outlines of the object regions. Secondly, medial axis transform and hierarchical branch pruning method were applied to the main skeletons of the object regions, and each main skeleton was fitted into line segments to describe the overlap directions. Then, the 3-dimensional model of the object region was scanned on the normal planes of the line segments to find the valley locations. And finally, a validation model was adopted to construct separation lines. The experiments on 2 real scanned 2-DE images showed that the true overlap separate (TOSs) were 78.95% and 85.71%, respectively. The results indicated that the proposed algorithm was better than the existing algorithms and could be used in engineering practice.

The development and transplantation of LCD module-based interface for medical diagnosis instrument / 中国医疗器械杂志

Based on LCD Module and Visual C++ development environment, this paper proposes a new method which can quickly develop the human-machine interface .We define a LCD module programming interface by designing Serial Communication Class(SCS). On this basis,we achieve the transplantation on an Embedded ARM Platform to fulfil the requirements of Medical Diagnostic Instruments (MDI). Experimental results show that this method has advantages of short development cycle and high level transplantation which has broad application prospects in the field of Medical Diagnosis Instrument.

Value of magnetic resonance imaging on local-regional staging of endometrial carcinoma / 肿瘤研究与临床

Objective To assess the value of magnetic resonance (MR) imaging (MRI) in depicting the depth of myometrial infiltration, cervical invasion and lymph nodes metastasis in patients with endometrial carcinoma compared with surgicopathologic findings. Methods Thirty-eight patients with endometrial carcinoma diagnosed by pathology were inspected by MRI in this prospective study. MR images were analyzed by two radiologists to report the depth of myometrial infiltration, infiltration of the uterine cervix and lymph nodes metastasis. MRI and surgicopathologic staging of endometrial carcinoma were based on FICO classification. MRI findings were compared with surgicopathologic findings. Results The overall accuracy rate of MRI in staging endometrial carcinoma was 77.1 %. The results of Kappa statistics showed that there was strong consistency between MRI and surgicopathology for staging of endometrial carcinoma (k= 0.677). Respective diagnostic accuracy, sensitivity, specificity, negative and positive predictive values in assessing myometrial infiltration(>l/2 depth) were 91.4 %, 83.3 %, 95.6 %, 91.7 % and 90.9 %; those in cervical infiltration were 94.2 %, 80.0 %, 96.7 %, 96.7 %, and 80.0 %; and those in lymph node assessment were 96.2 %, 66.7 %, 100 %, 95.8 % and 100 %. Conclusion MRI is highly accurate in depicting the depth of myometrial infiltration, cervical invasion, lymph nodes metastasis and local-regional staging of endometrial carcinoma.