NDLI: Lung modeling for nodule analysis in HRCT

Content Provider	IEEE Xplore Digital Library
Author	Pastor, L. Manzoni, P. Parmentier, M. Kastler, B.
Copyright Year	2002
Description	Author affiliation: Lab. d'Imagerie et d'Ingenierie pour la Sante, Univ. de Franche-Comte, Besancon, France (Pastor, L.; Manzoni, P.; Parmentier, M.; Kastler, B.)
Abstract	A computerized model of lung has been elaborated with the aim of simulating lung lesions in CT scans. The secondary lobule was used as structuring lung element. Several lung slices that cover the entire organ are included in the model. Broncho-vascular trees have been modeled, each final leaf pointing to one lobule of the predefined slices. Lobar, segmental and sub-segmental areas are defined from the arterial tree. Information on lobule location regarding scissure and pleura have also been included in the model. The first lesion studied is the pulmonary nodule. A software tool was developed which allows the radiologist to spread nodules on lung model in a defined way until the simulated images mimic the CT. Several nodule shapes, mathematically simulated, are available and systematic and non-systematic nodule distributions have been modeled. Several predefined nodule sizes (mean and dispersion) have been carefully defined. Nodule superimposition is avoided by the distribution algorithm unless explicitly authorized. Manual nodule shifting is available, but restricted to the area defined by the distribution to which the nodule belongs. When a CT has been completely analyzed, the different actions performed to obtain the final result are stored in a file which will be connected to a database in which data concerning the patient and final diagnoses will be stored. This lung model will be used to simulate ground glass and consolidation. The software tool described here is a useful help for radiologist education and training and it can lead to better understanding of the complex information present in HRCT images and to appropriate diagnoses.
Starting Page	1504
Ending Page	1508
File Size	546799
Page Count	5
File Format	PDF
ISBN	0780373243
ISSN	10823654
DOI	10.1109/NSSMIC.2001.1008623
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lungs Computed tomography Lesions Software tools Mathematical model Computational modeling Computer simulation Shape Performance analysis Databases
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Small-size lung nodule modeling and detection with clinical evaluation

Variational approach for small-size lung nodule segmentation

Computer-aided detection of pulmonary nodules using genetic programming

Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT

Statistical modeling of the lung nodules in low dose computed tomography scans of the chest

Modeling of the lung nodules for detection in LDCT scans

Pulmonary nodule distribution modeling as a diagnostic tool for HRCT image analysis

Computer aided diagnosis for lung CT using artificial life models

Deformable registration with excessive deformation correction for lung lesions

Lung modeling for nodule analysis in HRCT

Similar Documents

Small-size lung nodule modeling and detection with clinical evaluation

Variational approach for small-size lung nodule segmentation

Computer-aided detection of pulmonary nodules using genetic programming

Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT

Statistical modeling of the lung nodules in low dose computed tomography scans of the chest

Modeling of the lung nodules for detection in LDCT scans

Pulmonary nodule distribution modeling as a diagnostic tool for HRCT image analysis

Computer aided diagnosis for lung CT using artificial life models

Deformable registration with excessive deformation correction for lung lesions

Lung modeling for nodule analysis in HRCT