Computer-based objective quantitative assessment of pulmonary parenchyma via X-ray CT

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3337, Issue , 1998, Pages 377-383

  Uppaluri, Renuka ^a   McLennan, Geoffrey ^a   Sonka, Milan ^a   Hoffman, Eric A ^a  

^a UNIVERSITY OF IOWA   (United States)

Author keywords

Interstitial lung disease; Pulmonary; Smoking; Texture; Tissue characterization

Indexed keywords

CHARACTERIZATION; COMPUTER AIDED ANALYSIS; COMPUTERIZED TOMOGRAPHY; PULMONARY DISEASES; TEXTURES; TISSUE;

ADAPTIVE MULTIPLE FEATURE METHOD (AMFM);

OBJECT RECOGNITION;

EID: 0032403052     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.312585     Document Type: Conference Paper

References (8)

1. Texture analysis of pulmonary parenchyma in normal and emphysematous lung
2. Quantification of pulmonary emphysema from lung computed tomography images
3. Quantitative assessment in interstitial lung disease using the multiple feature (MF) method (abstract)
4. Validation of AMFM: A quantitative, regional assessment of pulmonary parenchymal pathology from HRCT (abstract)
5. AMFM - A quantitative CT assessment of early parenchymal changes in smokers (abstract)
6. Quantitative analysis of the chest CT in asbestos-exposed subjects using the Adaptive Multiple Feature Method (abstract)
7. Needs for assessment of pulmonary structure/function relationships and clinical outcomes measures: Quantitative volumetric CT of the lung
8. Adaptive Multiple Feature Method (AMFM) for the early detection of parenchymal pathology in a smoking population