Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database

Armato, 1998, Automated lung segmentation in digitized postero-anterior chest radiographs, Academic Radiology, 4, 245, 10.1016/S1076-6332(98)80223-7

Arya, 1998, An optimal algorithm for approximate nearest neighbor searching in fixed dimensions, Journal of the ACM, 45, 891, 10.1145/293347.293348

Barnhard, 1960, Roentgenographic determination of total lung capacity. A new method evaluated in health, emphysema and congestive heart failure, American Journal of Medicine, 28, 51, 10.1016/0002-9343(60)90222-9

Bellemare, 2001, Anatomic landmarks to estimate the length of the diaphragm from chest radiographs: effects of emphysema and lung volume reduction surgery, Chest, 120, 444, 10.1378/chest.120.2.444

Bezdek, 1993, Review of MR image segmentation techniques using pattern recognition, Medical Physics, 20, 1033, 10.1118/1.597000

Bland, 1995, Comparing methods of measurement: why plotting difference against standard method is misleading, Lancet, 346, 1085, 10.1016/S0140-6736(95)91748-9

Bookstein, 1989, Principal warps: thin-plate splines and the decomposition of deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, 567, 10.1109/34.24792

Bowyer, K.W., Loew, M.H., Stiehl, H.S., Viergever, M.A., 2001. Methodology of evaluation in medical image computing. In: Rep. Dagstuhl Workshop.

Brown, 1998, Knowledge-based method for segmentation and analysis of lung boundaries in chest X-ray images, Computerized Medical Imaging and Graphics, 22, 463, 10.1016/S0895-6111(98)00051-2

Burt, 1983, The Laplacian pyramid as a compact image code, IEEE Transactions on Communications, COM-31, 532, 10.1109/TCOM.1983.1095851

Cocosco, 2003, A fully automatic and robust brain MRI tissue classification method, Medical Image Analysis, 7, 513, 10.1016/S1361-8415(03)00037-9

Cootes, 1994, The use of active shape models for locating structures in medical images, Image and Vision Computing, 12, 355, 10.1016/0262-8856(94)90060-4

Cootes, 1995, Active shape models – their training and application, Computer Vision and Image Understanding, 61, 38, 10.1006/cviu.1995.1004

Cootes, T.F., Taylor, C.J., 2001. Statistical models of appearance for computer vision. Technical Report, Wolfson Image Analysis Unit, University of Manchester.

Cootes, T.F., Edwards, G.J., Taylor, C.J., 1999. Comparing active shape models with active appearance models. In: Proceedings of the British Machine Vision Conference, pp. 173–182.

Cootes, 2001, Active appearance models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 23, 681, 10.1109/34.927467

Davies, 2002, A minimum description length approach to statistical shape modeling, IEEE Transactions on Medical Imaging, 21, 525, 10.1109/TMI.2002.1009388

de Bruijne, 2003, Adapting active shape models for 3D segmentation of tubular structures in medical images, vol. 2732, 136

Duda, 2001

Duryea, 1995, A fully automatic algorithm for the segmentation of lung fields in digital chest radiographic images, Medical Physics, 22, 183, 10.1118/1.597539

Ely, 2002, Using the chest radiograph to determine intravascular volume status: the role of vascular pedicle width, Chest, 121, 942, 10.1378/chest.121.3.942

Fletcher, 1987

Gerig, 2001, Valmet: a new validation tool for assessing and improving 3D object segmentation, vol. 2208, 516

Goodall, 1991, Procrustes methods in the statistical analysis of shapes, Journal of the Royal Statistical Society B, 53, 285

Hall, 1971, Computer diagnosis of heart disease, Radiological Clinics of North America, 9, 533, 10.1016/S0033-8389(22)01791-2

Image Sciences Institute Research Databases. Available from: http://www.isi.uu.nl/Research/Databases/.

Jannin, 2002, Validation of medical image processing in image-guided therapy, IEEE Transactions on Medical Imaging, 21, 1455, 10.1109/TMI.2002.806568

Kearney, 2003, A prognostic index to predict long-term mortality in patients with mild to moderate chronic heart failure stabilised on angiotensin converting enzyme inhibitors, European Journal of Heart Failure, 5, 489, 10.1016/S1388-9842(03)00053-9

Kittler, 1985, Relaxation labelling algorithms – a review, Image and Vision Computing, 3, 206, 10.1016/0262-8856(85)90009-5

Kittler, 1998, On combining classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 226, 10.1109/34.667881

Kruger, 1972, Automated radiographic diagnosis via feature extraction and classification of cardiac size and shape descriptors, IEEE Biomedical Transactions, BME-19, 174, 10.1109/TBME.1972.324115

Li, 2001, Improved method for automatic identification of lung regions on chest radiographs, Academic Radiology, 8, 629, 10.1016/S1076-6332(03)80688-8

Loog, M., van Ginneken, B., 2002. Supervised segmentation by iterated contextual pixel classification. In: Proceedings of 16th International Conference on Pattern Recognition, pp. 925–928.

McNitt-Gray, 1995, Feature selection in the pattern classification problem of digital chest radiograph segmentation, IEEE Transactions on Medical Imaging, 14, 537, 10.1109/42.414619

Mitchell, 2001, Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images, IEEE Transactions on Medical Imaging, 20, 415, 10.1109/42.925294

Nakamori, 1990, Image feature analysis and computer-aided diagnosis in digital radiography: automated analysis of sizes of heart and lung in chest images, Medical Physics, 17, 342, 10.1118/1.596513

Nakamori, 1991, Effect of heart-size parameters computed from digital chest radiographs on detection of cardiomegaly: potential usefulness for computer-aided diagnosis, Investigative Radiology, 26, 546, 10.1097/00004424-199106000-00008

Pietka, 1994, Lung segmentation in digital chest radiographs, Journal of Digital Imaging, 2, 79, 10.1007/BF03168427

Richards, 1999

Rogers, M., 2001. Exploiting weak constraints on object structure and appearance for segmentation of 2-D images. Ph.D. Thesis, University of Manchester.

Scott, 2003, Improving appearance model matching using local image structure, vol. 2732, 258

Sezaki, 1973, Automatic computation of the cardiothoracic ratio with application to mass screening, IEEE Transactions on Biomedical Engineering, BME-20, 248, 10.1109/TBME.1973.324188

Shiraishi, 2000, Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules, American Journal of Roentgenology, 174, 71, 10.2214/ajr.174.1.1740071

Stegmann, M.B., Fisker, R., Ersbøll, B.K., 2001. Extending and applying active appearance models for automated, high precision segmentation in different image modalities. In: Proceedings of the 12th Scandinavian Conference on Image Analysis – SCIA 2001, vol. 1, pp. 90–97.

Stegmann, 2003, FAME – a flexible appearance modelling environment, IEEE Transactions on Medical Imaging, 22, 1319, 10.1109/TMI.2003.817780

Tsujii, 1998, Automated segmentation of anatomic regions in chest radiographs using an adaptive-sized hybrid neural network, Medical Physics, 25, 998, 10.1118/1.598277

van Ginneken, 2000, Automatic segmentation of lung fields in chest radiographs, Medical Physics, 27, 2445, 10.1118/1.1312192

van Ginneken, 2002, Active shape model segmentation with optimal features, IEEE Transactions on Medical Imaging, 21, 924, 10.1109/TMI.2002.803121

van Ginneken, 2002, Automatic detection of abnormalities in chest radiographs using local texture analysis, IEEE Transactions on Medical Imaging, 21, 139, 10.1109/42.993132

Vittitoe, 1998, Identification of lung regions in chest radiographs using Markov Random Field modeling, Medical Physics, 25, 976, 10.1118/1.598405

Warfield, S.K., Zou, K.H., Wells, W.M., 2002. Validation of image segmentation and expert quality with an expectation-maximization algorithm. In: MICCAI, Lecture Notes in Computer Science, vol. 2488, pp. 298–306.

Warfield, 2004, Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation, IEEE Transactions on Medical Imaging, 23, 903, 10.1109/TMI.2004.828354

Winkler, 1995, vol. 27

Xu, 1995, Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs, Medical Physics, 22, 617, 10.1118/1.597549

Xu, 1996, Image feature analysis for computer-aided diagnosis: detection of right and left hemidiaphragm edges and delineation of lung field in chest radiographs, Medical Physics, 23, 1613, 10.1118/1.597738

Yan, 2003, Face alignment using texture-constrained active shape models, Image and Vision Computing, 21, 69, 10.1016/S0262-8856(02)00136-1