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Author
Debora Gil; Carles Sanchez; Agnes Borras; Marta Diez-Ferrer; Antoni Rosell
Title
Segmentation of Distal Airways using Structural Analysis
Type
Journal Article
Year
2019
Publication
PloS one
Abbreviated Journal
Plos
Volume
14
Issue
12
Pages
Keywords
Abstract
Segmentation of airways in Computed Tomography (CT) scans is a must for accurate support of diagnosis and intervention of many pulmonary disorders. In particular, lung cancer diagnosis would benefit from segmentations reaching most distal airways. We present a method that combines descriptors of bronchi local appearance and graph global structural analysis to fine-tune thresholds on the descriptors adapted for each bronchial level. We have compared our method to the top performers of the EXACT09 challenge and to a commercial software for biopsy planning evaluated in an own-collected data-base of high resolution CT scans acquired under different breathing conditions. Results on EXACT09 data show that our method provides a high leakage reduction with minimum loss in airway detection. Results on our data-base show the reliability across varying breathing conditions and a competitive performance for biopsy planning compared to a commercial solution.
Address
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Edition
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ISBN
Medium
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Conference
Notes
IAM; 600.139; 600.145
Approved
no
Call Number
Admin @ si @ GSB2019
Serial
3357
Permanent link to this record
Author
Carles Sanchez; Miguel Viñas; Coen Antens; Agnes Borras; Debora Gil
Title
Back to Front Architecture for Diagnosis as a Service
Type
Conference Article
Year
2018
Publication
20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Abbreviated Journal
Volume
Issue
Pages
343-346
Keywords
Abstract
Software as a Service (SaaS) is a cloud computing model in which a provider hosts applications in a server that customers use via internet. Since SaaS does not require to install applications on customers' own computers, it allows the use by multiple users of highly specialized software without extra expenses for hardware acquisition or licensing. A SaaS tailored for clinical needs not only would alleviate licensing costs, but also would facilitate easy access to new methods for diagnosis assistance. This paper presents a SaaS client-server architecture for Diagnosis as a Service (DaaS). The server is based on docker technology in order to allow execution of softwares implemented in different languages with the highest portability and scalability. The client is a content management system allowing the design of websites with multimedia content and interactive visualization of results allowing user editing. We explain a usage case that uses our DaaS as crowdsourcing platform in a multicentric pilot study carried out to evaluate the clinical benefits of a software for assessment of central airway obstruction.
Address
Timisoara; Rumania; September 2018
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Series Editor
Series Title
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Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
SYNASC
Notes
IAM; 600.145
Approved
no
Call Number
Admin @ si @ SVA2018
Serial
3360
Permanent link to this record
Author
Debora Gil; Antonio Esteban Lansaque; Agnes Borras; Esmitt Ramirez; Carles Sanchez
Title
Intraoperative Extraction of Airways Anatomy in VideoBronchoscopy
Type
Journal Article
Year
2020
Publication
IEEE Access
Abbreviated Journal
ACCESS
Volume
8
Issue
Pages
159696 - 159704
Keywords
Abstract
A main bottleneck in bronchoscopic biopsy sampling is to efficiently reach the lesion navigating across bronchial levels. Any guidance system should be able to localize the scope position during the intervention with minimal costs and alteration of clinical protocols. With the final goal of an affordable image-based guidance, this work presents a novel strategy to extract and codify the anatomical structure of bronchi, as well as, the scope navigation path from videobronchoscopy. Experiments using interventional data show that our method accurately identifies the bronchial structure. Meanwhile, experiments using simulated data verify that the extracted navigation path matches the 3D route.
Address
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Summary Language
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Series Editor
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Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
IAM; 600.139; 600.145
Approved
no
Call Number
Admin @ si @ GEB2020
Serial
3467
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