Image Segmentation for Evaluating Axillary Lymph Nodes

A review is provided of the literature that has been published on image segmentation relative to sonography. Manual and automatic techniques for partitioning a sonogram are highlighted. In addition, a preliminary set of results is provided on the interrater reliability of the manual segmentation of axillary lymph nodes that have been sonographically imaged. A correlation between sonographers conducting manual segmentation is very high (r = 0.9 with P < .00 at the .01 alpha level). This work is set to provide additional information on lymph node cubic volume and the agreement between manual and automatic segmentation of axillary lymph nodes.

[1]  Sameer Singh,et al.  A Knowledge-Based Scheme for Digital Mammography , 2005 .

[2]  Ayman El-Baz,et al.  Advanced Segmentation Techniques , 2005 .

[3]  J. Heine,et al.  Computer-Aided Diagnosis of Mammographic Calcification Clusters: Impact of Segmentation , 2005 .

[4]  Shinzaburo Noguchi,et al.  Three-dimensional ultrasound imaging of breast cancer by a real-time intraoperative navigation system , 2005, Breast cancer.

[5]  Ross T. Whitaker,et al.  Level Set Segmentation of Biological Volume Datasets , 2005 .

[6]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[7]  M. Giger,et al.  Automatic segmentation of breast lesions on ultrasound. , 2001, Medical physics.

[8]  Lubomir M. Hadjiiski,et al.  Improvement of mammographic mass characterization using spiculation meausures and morphological features. , 2001, Medical physics.

[9]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[10]  Jerry L Prince,et al.  Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.

[11]  Andrew H. Gee,et al.  Adaptive segmentation of ultrasound images , 1999, Image Vis. Comput..

[12]  Jerry L. Prince,et al.  A Survey of Current Methods in Medical Image Segmentation , 1999 .

[13]  Yoshikazu Nakajima,et al.  Image guidance of breast cancer surgery using 3-D ultrasound images and augmented reality visualization , 1998, IEEE Transactions on Medical Imaging.

[14]  S. Lawrie,et al.  Brain abnormality in schizophrenia , 1998, British Journal of Psychiatry.

[15]  Pascal Laugier,et al.  Automatic detection of the boundary of the calcaneus from ultrasound parametric images using an active contour model; clinical assessment , 1998, IEEE Transactions on Medical Imaging.

[16]  David N. Kennedy,et al.  Neuroanatomical Segmentation in MRI: Technological Objectives , 1997, Int. J. Pattern Recognit. Artif. Intell..

[17]  Anthony J. Yezzi,et al.  A geometric snake model for segmentation of medical imagery , 1997, IEEE Transactions on Medical Imaging.

[18]  Dimitris N. Metaxas,et al.  Segmentation using deformable models with affinity-based localization , 1997, CVRMed.

[19]  A Herment,et al.  Multimodality cardiovascular image segmentation using a deformable contour model. , 1997, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[20]  S D Pathak,et al.  Interactive automatic fetal head measurements from ultrasound images using multimedia computer technology. , 1997, Ultrasound in medicine & biology.

[21]  D Kucera,et al.  Segmentation of sequences of echocardiographic images using a simplified 3D active contour model with region-based external forces. , 1997, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[22]  Demetri Terzopoulos,et al.  Deformable models in medical image analysis: a survey , 1996, Medical Image Anal..

[23]  S Akselrod,et al.  A two-dimensional extension of minimum cross entropy thresholding for the segmentation of ultrasound images. , 1996, Ultrasound in medicine & biology.

[24]  Jacek M. Zurada,et al.  Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images , 1996, IEEE Trans. Medical Imaging.

[25]  P. Taylor Invited review: computer aids for decision-making in diagnostic radiology--a literature review. , 1995, The British journal of radiology.

[26]  Vijay K. Jain,et al.  Markov random field for tumor detection in digital mammography , 1995, IEEE Trans. Medical Imaging.

[27]  Riccardo Poli,et al.  Recovery of the 3-D shape of the left ventricle from echocardiographic images , 1995, IEEE Trans. Medical Imaging.

[28]  B M Dawant,et al.  Brain segmentation and white matter lesion detection in MR images. , 1994, Critical reviews in biomedical engineering.

[29]  V. Caselles,et al.  A geometric model for active contours in image processing , 1993 .

[30]  Thrasyvoulos N. Pappas An adaptive clustering algorithm for image segmentation , 1992, IEEE Trans. Signal Process..

[31]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[32]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .