title: Assessment of feasibility to use computer aided texture analysis based tool for parametric images of suspicious lesions in DCE-MR mammography.
abstract: Our aim was to analyze the feasibility of computer aided malignant tumor detection using the traditional texture analysis applied on two-compartment-based parameter pseudoimages of dynamic contrast-enhanced magnetic resonance (DCE-MR) breast image data. A major contribution of this research will be the through-plane assessment capability. Texture analysis was performed on two-compartment-based pseudo images of DCE-MRI datasets of breast data of eight subjects. The resulting texture parameter pseudo images were inputted to a feedforward neural network classification system which uses the manual segmentations of a primary radiologist as a gold standard, and each voxel was assigned as malignant or nonmalignant. The classification results were compared with the lesions manually segmented by a second radiologist. Results show that the mean true positive fraction (TPF) and false positive fraction (FPF) performance of the classifier vs. primary radiologist is statistically as good as the mean TPF and FPF performance of the second radiologist vs. primary radiologist with a confidence interval of 95% using a one-sample t-test with α = 0.05. In the experiment implemented on all of the eight subjects, all malignant tumors marked by the primary radiologist were classified to be malignant by the computer classifier. Our results have shown that neural network classification using the textural parameters for automated screening of two-compartment-based parameter pseudo images of DCE-MRI as input data can be a supportive tool for the radiologists in the preassessment stage to show the possible cancerous regions and in the postassessment stage to review the segmentations especially in analyzing complex DCE-MRI cases.
authors: Bilecik Şeyh Edebali University, Turkey. mckale@gmail.com
authors: Mehmet Cemil
authors: MC
authors: Kale
authors: John David
authors: JD
authors: Fleig
authors: Nazım
authors: N
authors: Imal
mesh_terms: D001943:Breast Neoplasms / Q000145:classification / Q000175:diagnosis*; D019295:Computational Biology; D003287:Contrast Media; D016208:Databases, Factual / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods* / Q000706:statistics & numerical data; D008327:Mammography / Q000379:methods* / Q000706:statistics & numerical data; D015233:Models, Statistical; D016571:Neural Networks, Computer; D015588:Observer Variation; D010363:Pattern Recognition, Automated / Q000706:statistics & numerical data
chemical_list: D003287:Contrast Media
references: IEEE Eng Med Biol Mag. 2004 Sep-Oct;23(5):65-83
references: 15565801
references: IEEE Trans Med Imaging. 2005 Oct;24(10):1256-66
references: 16229413
references: J Digit Imaging. 2001 Jun;14(2 Suppl 1):58-9
references: 11442122
references: J Magn Reson Imaging. 1999 Sep;10(3):260-6
references: 10508285
references: Invest Radiol. 2005 Jul;40(7):442-7
references: 15973136
references: Eur Radiol. 2004 Jul;14(7):1217-25
references: 15034745
references: Magn Reson Imaging. 2001 Jan;19(1):51-7
references: 11295347
references: J Comput Assist Tomogr. 1991 Jul-Aug;15(4):621-8
references: 2061479
references: Magn Reson Imaging. 2002 Feb;20(2):147-54
references: 12034335
references: J Magn Reson Imaging. 2003 Mar;17(3):337-42
references: 12594724
references: Magn Reson Med. 2003 Jul;50(1):92-8
references: 12815683
references: Radiology. 1999 Nov;213(2):317-20
references: 10551208
references: Top Magn Reson Imaging. 2001 Aug;12(4):301-8
references: 11687716
references: IEEE Trans Pattern Anal Mach Intell. 1980 Mar;2(3):204-22
references: 21868894
references: Magn Reson Imaging. 1993;11(6):873-87
references: 8371643
references: Radiology. 1999 Apr;211(1):101-10
references: 10189459
references: Acad Radiol. 2004 Dec;11(12):1344-54
references: 15596372
references: IEEE Trans Image Process. 1999;8(3):346-60
references: 18262878
references: IEEE Trans Med Imaging. 2001 May;20(5):424-33
references: 11403201