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Volumn 24, Issue 3, 2011, Pages 446-463

Textural kinetics: A novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification

Author keywords

Breast cancer; CAD; Cancer imaging; Classifier; DCE MRI; Diagnosis; Feature; MRI; Probabilistic boosting tree; Support vector machine; Textural kinetics; Texture; Tumor

Indexed keywords

BREAST CANCER; CANCER IMAGING; DCE-MRI; FEATURE; PROBABILISTIC BOOSTING TREE; SUPPORT VECTOR;

EID: 80052876547     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-010-9298-1     Document Type: Article
Times cited : (105)

References (50)
  • 2
    • 0031080698 scopus 로고    scopus 로고
    • Contrast-enhanced MRI of the breast: Accuracy, value, controversies, solutions
    • Heywang-Kobrunner SH, Viehweg P, Hienig A, Kuchler C: Contrast-enhanced MRI of the breast: accuracy, value, controversies, solutions. Eur J Radiol 24:94-108, 1997.
    • (1997) Eur J Radiol , vol.24 , pp. 94-108
    • Heywang-Kobrunner, S.H.1    Viehweg, P.2    Hienig, A.3    Kuchler, C.4
  • 3
    • 0021281727 scopus 로고
    • Benign breast lesions: Ultrasound detection and diagnosis
    • Sickles EA, Filly RA, Callen PA: Benign breast lesions: ultrasound detection and diagnosis. Radiology 151:467- 470, 1984.
    • (1984) Radiology , vol.151 , pp. 467-470
    • Sickles, E.A.1    Filly, R.A.2    Callen, P.A.3
  • 4
    • 0032958860 scopus 로고    scopus 로고
    • Dynamic breast MR imaging: Are signal intensity time course data useful for differential diagnosis of enhancing lesions
    • Kuhl CK, Mielcareck P, Klaschik S, Leutner C, Wardelmann E, Gieske J, Schild HH: Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions. Radiology 211:101-110, 1999.
    • (1999) Radiology , vol.211 , pp. 101-110
    • Kuhl, C.K.1    Mielcareck, P.2    Klaschik, S.3    Leutner, C.4    Wardelmann, E.5    Gieske, J.6    Schild, H.H.7
  • 5
    • 0031309654 scopus 로고    scopus 로고
    • Contrast-enhanced breast MRI: Factors affecting sensitivity and specificity
    • Piccoli CW: Contrast-enhanced breast MRI: factors affecting sensitivity and specificity. Eur Radiol 7(Suppl. 5): S281-S288, 1997.
    • (1997) Eur Radiol , vol.7 , Issue.SUPPL. 5
    • Piccoli, C.W.1
  • 6
    • 55349148361 scopus 로고    scopus 로고
    • Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI
    • Nie K, Chen J-H, Yu HJ, Chu Y, Nalcioglu O, Su M-Y: Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI. Acad Radiol 15:1513- 1525, 2008.
    • (2008) Acad Radiol , vol.15 , pp. 1513-1525
    • Nie, K.1    Chen, J.-H.2    Yu, H.J.3    Chu, Y.4    Nalcioglu, O.5    Su, M.-Y.6
  • 9
    • 0034048529 scopus 로고    scopus 로고
    • Dynamic high-spatial-resolution MR imaging of suspicious breast lesion: Diagnostic criteria and interobserver variability
    • Kinkel K, Helbich TH, Esserman LJ, Barclay J, Schwerin E, Sickles EA, Hylton NM: Dynamic high-spatial-resolution MR imaging of suspicious breast lesion: diagnostic criteria and interobserver variability. AJR Am J Roentgenol 175(1):35-43, 2000.
    • (2000) AJR Am J Roentgenol , vol.175 , Issue.1 , pp. 35-43
    • Kinkel, K.1    Helbich, T.H.2    Esserman, L.J.3    Barclay, J.4    Schwerin, E.5    Sickles, E.A.6    Hylton, N.M.7
  • 11
    • 36348944702 scopus 로고    scopus 로고
    • Kinetic assessment of breast tumors using high spatial resolution signal enhancement ratio (SER) imaging
    • Li K-L, Henry R, Wilmes LJ, Gibbs J, Zhu X, Lu Y, Hylton NM: Kinetic assessment of breast tumors using high spatial resolution signal enhancement ratio (SER) imaging. Magn Reson Med 58(3):572-581, 2007.
    • (2007) Magn Reson Med , vol.58 , Issue.3 , pp. 572-581
    • Li, K.-L.1    Henry, R.2    Wilmes, L.J.3    Gibbs, J.4    Zhu, X.5    Lu, Y.6    Hylton, N.M.7
  • 12
    • 0034051570 scopus 로고    scopus 로고
    • MRI of breast tumors
    • Kuhl C:MRI of breast tumors. Eur J Radiol 10:46-58, 2000.
    • (2000) Eur J Radiol , vol.10 , pp. 46-58
    • Kuhl, C.1
  • 13
    • 33746617896 scopus 로고    scopus 로고
    • Automatic identification and classification of characteristic kinetic curves of breast lesion on DCE-MRI
    • Chen W, Giger ML, Bick U, Newstead GM: Automatic identification and classification of characteristic kinetic curves of breast lesion on DCE-MRI. Med Phys 33(8):2878-2887, 2006.
    • (2006) Med Phys , vol.33 , Issue.8 , pp. 2878-2887
    • Chen, W.1    Giger, M.L.2    Bick, U.3    Newstead, G.M.4
  • 15
    • 10444281666 scopus 로고    scopus 로고
    • Neural network approach to the segmentation and classification of dynamic magnetic resonance images of the breast: Comparison with empiric and quantitative kinetic parameters
    • Szabo BK, Aspelin P, Wiberg MK: Neural network approach to the segmentation and classification of dynamic magnetic resonance images of the breast: comparison with empiric and quantitative kinetic parameters. Acad Radiol 11:1344-1354, 2004.
    • (2004) Acad Radiol , vol.11 , pp. 1344-1354
    • Szabo, B.K.1    Aspelin, P.2    Wiberg, M.K.3
  • 16
    • 40749118050 scopus 로고    scopus 로고
    • Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning
    • Twellmann T, Meyer-Baese A, Lange O, Foo S, Nattkemper TW: Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. Eng Appl Artif Intell 21:129-140, 2008.
    • (2008) Eng Appl Artif Intell , vol.21 , pp. 129-140
    • Twellmann, T.1    Meyer-Baese, A.2    Lange, O.3    Foo, S.4    Nattkemper, T.W.5
  • 18
    • 33847610032 scopus 로고    scopus 로고
    • Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contast-enhanced magnetic resonance breast image data
    • Woods BJ, Clymer BD, Kurc T, Heverhagen JT, Stevens R, Orsdemir A, Bulan O, Knopp MV: Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contast-enhanced magnetic resonance breast image data. J Magn Reson Imaging 25:495-501, 2007.
    • (2007) J Magn Reson Imaging , vol.25 , pp. 495-501
    • Woods, B.J.1    Clymer, B.D.2    Kurc, T.3    Heverhagen, J.T.4    Stevens, R.5    Orsdemir, A.6    Bulan, O.7    Knopp, M.V.8
  • 19
    • 67349120047 scopus 로고    scopus 로고
    • Prediction of malignant breast lesions from mri features: A comparison of artificial neural network and logistic regression techniques
    • McLaren CE, Chen W-P, Nie K, Su M-Y: Prediction of malignant breast lesions from mri features: a comparison of artificial neural network and logistic regression techniques. Acad Radiol 16:842-851, 2009.
    • (2009) Acad Radiol , vol.16 , pp. 842-851
    • McLaren, C.E.1    Chen, W.-P.2    Nie, K.3    Su, M.-Y.4
  • 20
    • 33846190665 scopus 로고    scopus 로고
    • Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer-aided (CAD) system
    • Meinel LA, Stolpen AH, Berbaum KS, Fajardo LL, Reinhardt JM: Breast MRI lesion classification: improved performance of human readers with a backpropagation neural network computer-aided (CAD) system. J Magn Reson Imaging 25(1):89-95, 2007.
    • (2007) J Magn Reson Imaging , vol.25 , Issue.1 , pp. 89-95
    • Meinel, L.A.1    Stolpen, A.H.2    Berbaum, K.S.3    Fajardo, L.L.4    Reinhardt, J.M.5
  • 21
    • 43049153023 scopus 로고    scopus 로고
    • Classification of dynamic contast-enhanced magnetic resonance breast lesions by support vector mechines
    • Levman J, Leung T, Causer P, Plewes D, Martel AL: Classification of dynamic contast-enhanced magnetic resonance breast lesions by support vector mechines. IEEE Transact Med Imaging 27:688-696, 2008.
    • (2008) IEEE Transact Med Imaging , vol.27 , pp. 688-696
    • Levman, J.1    Leung, T.2    Causer, P.3    Plewes, D.4    Martel, A.L.5
  • 23
    • 0037925187 scopus 로고    scopus 로고
    • Texture analysis of contast-enhanced MR images of the breast
    • Gibbs P, Turnbull LW: Texture analysis of contast-enhanced MR images of the breast. Magn Reson Med 50:92-98, 2003.
    • (2003) Magn Reson Med , vol.50 , pp. 92-98
    • Gibbs, P.1    Turnbull, L.W.2
  • 24
    • 0030795378 scopus 로고    scopus 로고
    • Mapping pathophysiological features of breast tumors by MRI at high spatial resolution
    • Degani H, Gusis V, Weinstein D, Fields S, Strano S: Mapping pathophysiological features of breast tumors by MRI at high spatial resolution. Nat Med 3(7):780-782, 1997.
    • (1997) Nat Med , vol.3 , Issue.7 , pp. 780-782
    • Degani, H.1    Gusis, V.2    Weinstein, D.3    Fields, S.4    Strano, S.5
  • 25
    • 0032955577 scopus 로고    scopus 로고
    • Breast fibroadenoma: Mapping of pathophysiologic features with three-time-point, contrast-enhanced MR imaging- pilot study
    • Weinstein D, Strano S, Cohen P, Fields S, Gomori JM, Degani H: Breast fibroadenoma: mapping of pathophysiologic features with three-time-point, contrast-enhanced MR imaging- pilot study. Radiology 210(1):233-240, 1999.
    • (1999) Radiology , vol.210 , Issue.1 , pp. 233-240
    • Weinstein, D.1    Strano, S.2    Cohen, P.3    Fields, S.4    Gomori, J.M.5    Degani, H.6
  • 26
    • 43049087420 scopus 로고    scopus 로고
    • Quantitative 2- and 3-dimensional analysis of pharmacokinetic model-derived variables for breast lesions in dynamic, contrast-enhanced MR mammography
    • Hauth EAM, Jaeger H, Maderwald S, Muhler A, Kimmig R, Forsting M: Quantitative 2- and 3-dimensional analysis of pharmacokinetic model-derived variables for breast lesions in dynamic, contrast-enhanced MR mammography. Eur J Radiol 66(6):300-308, 2008.
    • (2008) Eur J Radiol , vol.66 , Issue.6 , pp. 300-308
    • Hauth, E.A.M.1    Jaeger, H.2    Maderwald, S.3    Muhler, A.4    Kimmig, R.5    Forsting, M.6
  • 27
    • 0028963102 scopus 로고
    • Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model
    • Tofts PS, Berowitz B, Schnall MD: Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model. Magn Reson Med 33:564-568, 1995.
    • (1995) Magn Reson Med , vol.33 , pp. 564-568
    • Tofts, P.S.1    Berowitz, B.2    Schnall, M.D.3
  • 28
    • 79551683181 scopus 로고    scopus 로고
    • A fast method of generating pharmacokinetic maps from dynamic contrast-enhanced images of the breast
    • Martel AL: A fast method of generating pharmacokinetic maps from dynamic contrast-enhanced images of the breast. Int Conf Med Image Comput Comput Assist Interv 9(Pt 2):101-108, 2006.
    • (2006) Int Conf Med Image Comput Comput Assist Interv , vol.9 , Issue.PART 2 , pp. 101-108
    • Martel, A.L.1
  • 31
    • 43449100919 scopus 로고    scopus 로고
    • Contrast-enhanced magnetic resonance imaging of the breast: The value of pharmacokinetic parameters derived from fast dynamic imaging during initial enhancement in classifying lesions
    • Veltman J, Stoutjesdijk M, Mann R, Huisman HJ, Barentsz JO, Blickman JG, Boetes C: Contrast-enhanced magnetic resonance imaging of the breast: the value of pharmacokinetic parameters derived from fast dynamic imaging during initial enhancement in classifying lesions. Eur Radiol 18 (6):1123-1133, 2008.
    • (2008) Eur Radiol , vol.18 , Issue.6 , pp. 1123-1133
    • Veltman, J.1    Stoutjesdijk, M.2    Mann, R.3    Huisman, H.J.4    Barentsz, J.O.5    Blickman, J.G.6    Boetes, C.7
  • 32
    • 27944473726 scopus 로고    scopus 로고
    • Generalized scale: Theory, algorithms, and application to image inhomogeneity
    • Madabhushi A, Udupa JK, Souza A: Generalized scale: theory, algorithms, and application to image inhomogeneity. Comput Vis Image Underst 101(2):100-121, 2006.
    • (2006) Comput Vis Image Underst , vol.101 , Issue.2 , pp. 100-121
    • Madabhushi, A.1    Udupa, J.K.2    Souza, A.3
  • 34
    • 0033350904 scopus 로고    scopus 로고
    • Nonlinear operator for oriented texture
    • Kruizinga P, Petkov N: Nonlinear operator for oriented texture. IEEE Transact Image Process 8(10):1395-1407, 1999.
    • (1999) IEEE Transact Image Process , vol.8 , Issue.10 , pp. 1395-1407
    • Kruizinga, P.1    Petkov, N.2
  • 36
    • 69549088239 scopus 로고    scopus 로고
    • Dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS)
    • Tiwari P, Rosen M, Madabhushi A: Dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS). Med Phys 36(9):3927-3939, 2009.
    • (2009) Med Phys , vol.36 , Issue.9 , pp. 3927-3939
    • Tiwari, P.1    Rosen, M.2    Madabhushi, A.3
  • 38
    • 0034431849 scopus 로고    scopus 로고
    • Stereotaxic display of brain lesions
    • Rorden C, Brett M: Stereotaxic display of brain lesions. Behav Neurol 12(4):191-200, 2000.
    • (2000) Behav Neurol , vol.12 , Issue.4 , pp. 191-200
    • Rorden, C.1    Brett, M.2
  • 39
    • 0000293183 scopus 로고
    • Theory of communication
    • Gabor D.: Theory of communication. J Inst Elect Eng 93:429-457, 1946.
    • (1946) J Inst Elect Eng , vol.93 , pp. 429-457
    • Gabor, D.1
  • 44
    • 0032594951 scopus 로고    scopus 로고
    • Support vector machines for histogram-based image segmentation
    • Chapelle O, Haffner P, Vapnik V: Support vector machines for histogram-based image segmentation. IEEE Transact Neural Network 10:1055-1064, 1999.
    • (1999) IEEE Transact Neural Network , vol.10 , pp. 1055-1064
    • Chapelle, O.1    Haffner, P.2    Vapnik, V.3
  • 45
    • 49249124314 scopus 로고    scopus 로고
    • Investigating the efficacy on nonlinear dimensionality reduction schemes in classifying gene and protein expression studies
    • Lee G, Rodriguez C, Madabhushi A: Investigating the efficacy on nonlinear dimensionality reduction schemes in classifying gene and protein expression studies. IEEE/ACM Transact Comput Biol Bioinform 5:368-384, 2008.
    • (2008) IEEE/ACM Transact Comput Biol Bioinform , vol.5 , pp. 368-384
    • Lee, G.1    Rodriguez, C.2    Madabhushi, A.3
  • 46
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C, Vapnik V: Support-vector networks. Mach Learn 20(3):273-297, 1995.
    • (1995) Mach Learn , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 47
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund Y, Schapire RE: A decision-theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci 55:119-139, 1997.
    • (1997) J Comput Syst Sci , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 48
    • 33745897632 scopus 로고    scopus 로고
    • Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering
    • Tu Z: Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering. Proceedings of the Tenth IEEE International Conference on Computer Vision, Vol. 2, pp 1589-1596, 2005.
    • (2005) Proceedings of the Tenth IEEE International Conference on Computer Vision , vol.2 , pp. 1589-1596
    • Tu, Z.1
  • 49
    • 2442660323 scopus 로고    scopus 로고
    • Computerized interpretation of breast MRI: Investigation of enhancementvariance dynamics
    • Chen W, Giger M, Lan L, Bick U: Computerized interpretation of breast MRI: investigation of enhancementvariance dynamics. Med Phys 31:1076-1082, 2004.
    • (2004) Med Phys , vol.31 , pp. 1076-1082
    • Chen, W.1    Giger, M.2    Lan, L.3    Bick, U.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.