Patient-specific models for lung nodule detection and surveillance in CT images

IEEE Transactions on Medical Imaging

Volumn 20, Issue 12, 2001, Pages 1242-1250

  Brown, Matthew S ^a   McNitt Gray, Michael F ^a   Goldin, Jonathan G ^a   Suh, Robert D ^a   Sayre, James W ^a   Aberle, Denise R ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Computed tomography; Model based segmentation; Nodule detection; Patient specific model

Indexed keywords

COMPUTER SIMULATION; EDGE DETECTION; FEATURE EXTRACTION; KNOWLEDGE BASED SYSTEMS; RADIOLOGY; RESPIRATORY SYSTEM;

LUNG NODULE DETECTION; MODEL BASED SEGMENTATION; PATIENT SPECIFIC MODELS;

COMPUTERIZED TOMOGRAPHY;

ARTICLE; AUTOMATION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; FOLLOW UP; HUMAN; LABORATORY DIAGNOSIS; LUNG TUMOR; METHODOLOGY; RADIOGRAPHY; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY;

AUTOMATION; FALSE NEGATIVE REACTIONS; FOLLOW-UP STUDIES; HUMANS; LUNG NEOPLASMS; MODELS, BIOLOGICAL; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0035544610     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.974919     Document Type: Article

References (23)

1. Mass screening for lung cancer with mobile spiral computed tomography scanner
2. Early lung cancer action project: Overall design and findings from baseline screening
3. Enhanced interpretation of diagnostic images
4. Improvement in radiologists' detection of clustered microcalcifications on mammograms: The potential of computer-aided diagnosis
5. Pulmonary nodules: Improved detection with vascular segmentation and extraction with spiral CT
6. Three-dimensional analysis of lung area using thin slice CT images
7. Computerized detection of pulmonary nodules in computed tomography images
8. Computerized detection of pulmonary nodules on CT scans
9. Computer-aided diagnostic system for pulmonary nodules based on helical CT images
10. Automatic detection of pulmonary nodules in low-dose screening thoracic CT examinations
11. Small pulmonary nodules: Evaluation with repeat CT-Preliminary experience
12. Chest CT: Automated nodule detection and assessment of change over time-Preliminary experience
13. Model-based assessment of lung structures: Inferencing and control system
14. Method for segmenting chest CT images using an anatomic model: Preliminary results
15. An extensible knowledge-based architecture for segmenting CT data
16. Blackboard systems: The blackboard model of problem solving and the evolution of blackboard architectures
17. Fuzzy sets
18. Deformable templates using large deformation kinematics
19. A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT: Preliminary results
20. Screening for lung cancer: A critique of the Mayo lung project
21. Lung cancer detection: Results of a randomized prospective study in Czechoslovakia
22. Model-based segmentation architecture for lung nodule detection in CT