ZHANG Wei-min,ZHAO Song,YUAN Yu-de,et al.Evaluation of the image in mammography application of ALVIM statistics phantom using computed radiography(CR)[J].Chinese Journal of Radiological Medicine and Protection,2006,26(3):288-291
Evaluation of the image in mammography application of ALVIM statistics phantom using computed radiography(CR)
Received:June 27, 2005  
DOI:
KeyWords:Mammography  Receiver operating characteristic(ROC)curve  Evaluation studies  TRM Statistics phantom
FundProject:浙江省医药卫生科学资金资助项目(2004A039)
Author NameAffiliation
ZHANG Wei-min Department of Radiology, The Second Affiliated Hospital of Zhejiang University, Hangzhou 310009, China 
ZHAO Song Department of Radiology, The Second Affiliated Hospital of Zhejiang University, Hangzhou 310009, China 
YUAN Yu-de 泰山医学院放射系 
王昌元 泰山医学院放射系 
丁文洪 Department of Radiology, The Second Affiliated Hospital of Zhejiang University, Hangzhou 310009, China 
王志康 Department of Radiology, The Second Affiliated Hospital of Zhejiang University, Hangzhou 310009, China 
孙建忠 Department of Radiology, The Second Affiliated Hospital of Zhejiang University, Hangzhou 310009, China 
华建明 Department of Radiology, The Second Affiliated Hospital of Zhejiang University, Hangzhou 310009, China 
揭丽勇 Department of Radiology, The Second Affiliated Hospital of Zhejiang University, Hangzhou 310009, China 
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Abstract::
      Objective To evaluate the minimal Al2O3 mottle (calcification)and nylon fiber signal(tumor) in mammography application of ALVIM statistics phantom by computed radiography(CR). Methods ALVIM statistics phantom consists of five Al2O3 mottles(calcification) and five nylon fiber signals(tumor) various in size and was placed on the imaging plate(IP),test image with a density of D=0.70±0.05 was obtained by molybdenum target X-ray equipment with a voltage of 26 kV and by adjusting exposure and selecting appropriate image processing parameter.Four observers gave it the total points of the ten lines each line consisting of five signals and five noise applying of the method of five values estimation,then according to the formula of ALVIM statistics phantom figuring out a set of true positive probabilities P(S/s) and false positive probabilities P(S/n) to drawing the ROC curve and figuring out each signals probabilities P det,at last processing data using SPSS 10.0 statistics analysis software to acquire the smallest calcification and parenchyma tumor. Results After acquiring the data and judging probability average value P det of the ROC curves statistics,five Al2O3 mottle (calcification) equal to 0.6250 of 0.22 mm is minimal, and P det equal to 0.9000 of 0.55 mm was maximal. There was no significant variation in size P det difference between P det of 0.20 mm and of 0.25 mm but there was among others.Among the five varying nylon fibers size P det equal to 0.5313 was minimal and P det equal to 0.8813 of 1.00 mm was maximal.There was no significant difference between P det of 0.45 mm and of 0.60 mm while significant difference was found between 0.45 and others. Conclusion The method of plotting ROC curve using ALVIM statistics phantom and getting the judging probability P det was easy,fast and suitable to evaluate image quality control in daily clinic and popularized easily.
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