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醫療信息科學與技術
來源: | 作者: | 發布時間:2013-9-22 14:27:37


基于LabVIEW的磁共振射頻接收單元自動化測試系統 

  劉瀚文,萬遂人

(東南大學生物科學與醫學工程學院,南京 210000)

摘要:為了解決磁共振射頻接收單元手動測試繁雜耗時的問題,設計了一套基于LabVIEW的自動化測試系統。采用信號源、計算機配合自制的采集控制單元和時鐘源組成測試系統的硬件平臺。系統軟件基于LabVIEW開發,采用分層次模塊化架構,借助VISA軟件包、動態鏈接庫和AcitveX技術分別實現了儀器控制、數據采集和數據保存。利用該系統對某射頻接收單元進行了實際測試,結果表明,該系統高效、穩定且擴展靈活,具有很強的實用意義。

關鍵字:自動化測試;射頻接收單元;LabVIEW;動態鏈接庫;AcitveX

中圖分類號:TP206+.1                         文獻標識碼:   A

A LabVIEW-Based Automatic TestSystem for MRI RF Receiving Unit

LIUHan-wen ,WAN Sui-ren

(School of Biological Science and MedicalEngineering, Southeast University, Nanjing, 210000, China)

Abstract】 It is complicatedand time-consuming to test MRI RF receiving unit manually. In order to solvethis problem, a set of automatic test system based on LabVIEW is presented here.The hardware platform is composed of a signal source and a computer togetherwith homemade acquisition control unit and clock source. The software isdeveloped based on LabVIEW and adopt the hierarchical modular architecture. UsingVISA package, DLL and AcitveX, it realizes the instrument control, dataacquisition and data storage. Actual tests for RF receiving unit is carried onwith this system. The results show that the system is efficient, stable andflexible expansion, which has a strong practical significance.

【Keywords】Automatic test; RFreceiving unit; LabVIEW; DLL; AcitveX



作者簡介:萬遂人,教授,主要研究方向:醫學電子學.  


基于模型的旋轉冠狀動脈造影三維重建*
李澤文1,胡軼寧2
(1.東南大學生物科學與醫學工程學院,南京 210096;2.東南大學計算機科學與工程學院,南京,210096)
摘要:本文提出了一種基于模型的稀疏角度投影圖像冠狀動脈體數據重建方法,本文的工作主要包括:1)提出了一種血管結構參數化算法,該算法在保證不同節段血管表面的空間連續性的基礎上,對血管分支分叉不為進行自動識別和連接;2)建立了一種基于投影數據匹配的血管半徑估計方法,用于設定血管初始半徑;3)在參數優化過程中引入了包含利用血管結構先驗知識和彈性先驗進行約束,保證了血管結構的的平滑性和彈性先驗以此來并排除降低噪聲的干擾和,增大對初始坐標位置誤差的容許度,并利用算法利用梯度下降法進行迭代優化。實驗表明該重建方法對冠狀動脈X射線造影重建能夠收斂并具有較精確的重建結果。
關鍵字:三維重建;冠狀動脈;X射線;旋轉造影;模型
中圖分類號:R318.0文獻標識碼:A


Object-Based 3-D Reconstruction of Arterial Trees from Coronary Angiograms
LI Ze-wen1,HU Yi-ning2
1(School of Bio-Medical Engineering, Southeast University, Nanjing, 210096,China)
2(Department of Computer Science and Engineering,Southeast University, Nanjing210096, China)
【Abstract】This paper describes an object-based approach to the problem of reconstructing three-dimensional descriptions of arterial trees from a few noisy angiographic projections. The stages of the method are: 1) an easy to implement parameter model are designed to represent bifurcations accurately, and ensure that the spatial continuity of the vascular surface; 2) an automatic algorithms for the initialization of parameter model; 3) The method incorporates a priori knowledge of the structure of the arteries into a natural optimality criterion that encompasses the entire arterial tree. We present an efficient optimization algorithm for object estimation, and demonstrate its performance by the experimental results.
【Key words】reconstruction; Coronary artery; X-ray; rotational angiography; parameter model

利用支持向量機對癌細胞的識別
唐思源,柳原,崔媛
(包頭醫學院計算機科學與技術系,內蒙古包頭014040)
摘要:癌細胞識別是數字圖像處理和模式識別領域的一個研究熱點,在臨床上也是一個比較有意義的研究課題,本文利用支持向量機的方法,通過提取細胞的特征來分類和識別癌細胞。首先收集彩色圖像,對圖像進行預處理,之后是進行分割及對單細胞和多細胞的特征提取,最后實現對癌變細胞的識別和分類。
關鍵字:數字圖像處理;模式識別;支持向量機;特征提取
中圖分類號:R734.2;TP391.41 文獻標識碼:A

SVM identification of cancer
TANG Si-yuan,LIUYuan,CUI Yuan
(Department of Computer Science and Technology, Baotou, Inner Mongolia Medical College, Baotou 014040,China)
【Abstract】Identification of cancer cells is a digital image processing and pattern recognition research focus areas, but also in a more clinically meaningful research, we use SVM method, feature extraction and classification of cells to identify cancer cells. First collect color images, image preprocessing, segmentation, and after a single-cell and multi-cell feature extraction, and finally achieve the identification and classification of cancerous cells.
【Keywords】 digital image processing; pattern recognition; support vector machine; Feature Extraction



小訓練樣本的人臉識別研究


黃宏博1,穆志純1
(1.北京科技大學 自動化學院,北京 100083 2.北京信息科技大學 計算中心,北京 100192)
摘要:人臉識別問題在很多情況下都會面臨小訓練樣本的問題,在訓練樣本數量遠小于數據維數的情形下許多人臉識別方法都會遇到困難。本文分析了造成小樣本問題的原因,從虛擬樣本擴充、數據降維以及算法優化等不同方面總結了解決方法,并對不同方法進行了簡要評價,對解決小樣本問題的未來發展方向進行了展望。
關鍵字:人臉識別;小樣本問題;虛擬樣本;數據降維
中圖分類號:TP391.41 文獻標識碼:A

Review of Face Recognition on Small Sample Size Problem
HUANG Hong-bo1,2,MU Zhi-chun1
1(School of Automation & Electrical Engineering,University of Science&Technology Beijing,Beijing 10083)
2( Computing Center,Beijing Information Science&Technology University, Beijing 100192)
【Abstract】Small Sample Size Problem is a general problem in face recognition. Most methods of face recognition will encounter difficulties when the number of samples is much smaller than the dimension of face data. This paper analyzed the the origin of the problem, and then defferent solutions were presented includeing virtual sample expansion,data reduction and algorithm optimization. A brief evaluation of different methods was given. Future directions of solving the problem were prospected .
【Key words】Face Recognition; Small Sample Size Problem;Virtual Sample;Data Reduction


中醫肺病科電子病歷系統設計與實現


董國華,朱習軍
(青島科技大學信息科學技術學院,山東青島 266061)
摘要:中醫肺病科電子病歷系統的設計是為了將中醫院肺病科的紙質病歷轉化為電子病歷,從而更好的保存、使用中醫肺病科病歷,并為以后進行中醫肺病數據的分析研究做前期準備。系統用Java Web技術進行開發,采用MVC設計模式,并用struts框架簡化開發步驟。最終開發出的中醫肺病科電子病歷系統擁有快捷簡單的操作界面,圖文并茂的病歷顯示功能和方便的病歷打印功能。
關鍵詞:中醫肺病科電子病歷系統;電子病歷;模塊化
中圖分類號:TP273   文獻標識碼:A

Design and Implementation of Electronic Medical Records System of Traditional Chinese Medicine Lung Disease
DONG Guo-hua,ZHU Xi-jun
(Department of Information Science and Technology ,QingDao University of Science&Technology ,Qingdao 266061,China)
【Abstract】The design of electronic medical records (EMR)system of Traditional Chinese Medicine(TCM) lung disease is to transform TCM lung disease paper-based medical records to EMR(electronic medical records).This system can better save and use the medical records .It provides convenience to analysis the TCM lung disease medical records.This system was designed by Java Web technology,using MVC design model,and applying struts frame to simplify its developing procedure.The system designed own fast and simple operation interface and abundant medical records showing function,and it also has convenient medical records printing function.
【Key Words】EMR system of TCM lung disease diagnosis; EMR;modularization


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