Evaluation of Selected Two-Dimensional Segmentation Techniques for Computed Tomography Quantitation of Lymph Nodes

Rogowska, Jadwiga; Batchelder, K. F.; Gazelle, G. Scott; Halpern, Elkan F.; Connor, William; Wolf, Gerald

doi:10.1097/00004424-199603000-00004

Cited by 38 publications

(25 citation statements)

References 15 publications

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“…In the first category, Rogowska et al [4] used various basic techniques like threshold selection, sobel/watershed technique and deformable contour algorithm for the segmentation of lymph nodes. Their evaluation was on synthetic images.…”

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confidence: 99%

Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration

Gorthi

Duay

Houhou

et al. 2009

IEEE J. Sel. Top. Signal Process.

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Abstract-In this paper, we present the segmentation of the head and neck lymph node regions using a new active contour-based atlas registration model. We propose to segment the lymph node regions without directly including them in the atlas registration process; instead, they are segmented using the dense deformation field computed from the registration of the atlas structures with distinct boundaries. This approach results in robust and accurate segmentation of the lymph node regions even in the presence of significant anatomical variations between the atlas-image and the patient's image to be segmented. We also present a quantitative evaluation of lymph node regions segmentation using various statistical as well as geometrical metrics: sensitivity, specificity, dice similarity coefficient and Hausdorff distance. A comparison of the proposed method with two other state of the art methods is presented. The robustness of the proposed method to the atlas selection, in segmenting the lymph node regions, is also evaluated.Index Terms-Atlas-based segmentation, head and neck, IMRT, lymph node regions, non-rigid registration, radiotherapy.

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confidence: 99%

Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration

Gorthi

Duay

Houhou

et al. 2009

IEEE J. Sel. Top. Signal Process.

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“…Many works about lymph node segmentation in CT images have been developed. [33][34][35][36][37][38][39][40][41] In this work, using the centroids of lymph node candidates as seed points [ Fig. 8(a) a level-set-based curve evolution is applied [ Fig.…”

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confidence: 99%

Mediastinal lymph node detection and station mapping on chest CT using spatial priors and random forest

et al. 2016

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Purpose: To develop an automated system for mediastinal lymph node detection and station mapping for chest CT. Methods: The contextual organs, trachea, lungs, and spine are first automatically identified to locate the region of interest (ROI) (mediastinum). The authors employ shape features derived from Hessian analysis, local object scale, and circular transformation that are computed per voxel in the ROI. Eight more anatomical structures are simultaneously segmented by multiatlas label fusion. Spatial priors are defined as the relative multidimensional distance vectors corresponding to each structure. Intensity, shape, and spatial prior features are integrated and parsed by a random forest classifier for lymph node detection. The detected candidates are then segmented by the following curve evolution process. Texture features are computed on the segmented lymph nodes and a support vector machine committee is used for final classification. For lymph node station labeling, based on the segmentation results of the above anatomical structures, the textual definitions of mediastinal lymph node map according to the International Association for the Study of Lung Cancer are converted into patient-specific color-coded CT image, where the lymph node station can be automatically assigned for each detected node. Results: The chest CT volumes from 70 patients with 316 enlarged mediastinal lymph nodes are used for validation. For lymph node detection, their system achieves 88% sensitivity at eight false positives per patient. For lymph node station labeling, 84.5% of lymph nodes are correctly assigned to their stations. Conclusions: Multiple-channel shape, intensity, and spatial prior features aggregated by a random forest classifier improve mediastinal lymph node detection on chest CT. Using the location information of segmented anatomic structures from the multiatlas formulation enables accurate identification of lymph node stations. [http://dx.doi.org/10.1118/1.4954009]

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“…Generally, the segmentation tools can be divided into three groups: manual delineation; lowlevel segmentation such as thresholding and region growing; and model-based segmentation methods [24]. Specific technical considerations are required for analyzing each tissue and organ.…”

Section: Overviewmentioning

confidence: 99%

Relationship between body composition changes and changes in physical function and metabolic risk factors in aging

St‐Onge¹

2005

Current Opinion in Clinical Nutrition &Amp; Metabolic Care

153

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Purpose of review-Accurate measurement of adiposity in obese children is required for characterizing the condition's phenotype, severity, and treatment effects in vivo. Non-invasive and safe, magnetic resonance imaging and spectroscopy provide an important new approach for characterizing key aspects of pediatric obesity. This review focuses on recent advances in noninvasive magnetic resonance imaging and spectroscopy for quantifying total body and regional adiposity, mapping adipose tissue distribution, and evaluating selected metabolic disturbances in children. The aim is to provide an investigator-focused overview of magnetic resonance methods for use in the study of pediatric body composition and metabolism.Recent findings-Whole body axial images can be rapidly acquired on most clinical magnetic resonance imaging scanners. The images can then be semi-automatically segmented into subcutaneous, visceral, and intramuscular adipose tissue. Specific pediatric studies of errors related to slice gap and number are available. The acquisition of scans in healthy and premature infants is now feasible with recent technological advances. Spectroscopic, Dixon, and other approaches can be used to quantify the lipid content of liver, skeletal muscle, and other organs. Protocol selection is based on factors such as subject age and cost. Particular attention should be directed towards identification of landmarks in growth studies. Recent advances promise to reduce the requirement of subjects to remain motionless for relatively long periods.Summary-Magnetic resonance imaging and spectroscopy are safe, practical, and widely available methods for phenotyping adiposity in children that open new opportunities for metabolism and nutritional research.

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Evaluation of Selected Two-Dimensional Segmentation Techniques for Computed Tomography Quantitation of Lymph Nodes

Abstract: Methods based on Sobel edge detection offer more objective tools than thresholding methods for segmenting objects similar to lymph nodes in computed tomography images. Both methods, Sobel/watershed and interactive deformable contour algorithm, are fast and have simple user interfaces.

Cited by 38 publications

References 15 publications

Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration

Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration

Mediastinal lymph node detection and station mapping on chest CT using spatial priors and random forest

Relationship between body composition changes and changes in physical function and metabolic risk factors in aging

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