Search & Display Options
Search within Results:
Field:
author
title
year
keywords
abstract
type
contains:
...
Exclude matches
Display Options:
Field:
all fields
keywords & abstract
additional fields
records per page
Select All
Deselect All
<<
1
2
>>
List View
|
Citations
|
Details
Records
Links
Author
Antonio Esteban Lansaque; Carles Sanchez; Agnes Borras; Marta Diez-Ferrer; Antoni Rosell; Debora Gil
Title
Stable Airway Center Tracking for Bronchoscopic Navigation
Type
Conference Article
Year
2016
Publication
28th Conference of the international Society for Medical Innovation and Technology
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Bronchoscopists use X‐ray fluoroscopy to guide bronchoscopes to the lesion to be biopsied without any kind of incisions. Reducing exposure to X‐ray is important for both patients and doctors but alternatives like electromagnetic navigation require specific equipment and increase the cost of the clinical procedure. We propose a guiding system based on the extraction of airway centers from intra‐operative videos. Such anatomical landmarks could be
matched to the airway centerline extracted from a pre‐planned CT to indicate the best path to the lesion. We present an extraction of lumen centers
from intra‐operative videos based on tracking of maximal stable regions of energy maps.
Address
Delft; Rotterdam; Leiden; The Netherlands; October 2016
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
SMIT
Notes
IAM;
Approved
no
Call Number
Admin @ si @ LSB2016a
Serial
2856
Permanent link to this record
Author
Antonio Esteban Lansaque; Carles Sanchez; Agnes Borras; Marta Diez-Ferrer; Antoni Rosell; Debora Gil
Title
Stable Anatomical Structure Tracking for video-bronchoscopy Navigation
Type
Conference Article
Year
2016
Publication
19th International Conference on Medical Image Computing and Computer Assisted Intervention Workshops
Abbreviated Journal
Volume
Issue
Pages
Keywords
Lung cancer diagnosis; video-bronchoscopy; airway lumen detection; region tracking
Abstract
Bronchoscopy allows to examine the patient airways for detection of lesions and sampling of tissues without surgery. A main drawback in lung cancer diagnosis is the diculty to check whether the exploration is following the correct path to the nodule that has to be biopsied. The most extended guidance uses uoroscopy which implies repeated radiation of clinical sta and patients. Alternatives such as virtual bronchoscopy or electromagnetic navigation are very expensive and not completely robust to blood, mocus or deformations as to be extensively used. We propose a method that extracts and tracks stable lumen regions at dierent levels of the bronchial tree. The tracked regions are stored in a tree that encodes the anatomical structure of the scene which can be useful to retrieve the path to the lesion that the clinician should follow to do the biopsy. We present a multi-expert validation of our anatomical landmark extraction in 3 intra-operative ultrathin explorations.
Address
Athens; Greece; October 2016
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
MICCAIW
Notes
IAM; 600.075
Approved
no
Call Number
Admin @ si @ LSB2016b
Serial
2857
Permanent link to this record
Author
Carles Sanchez; Antonio Esteban Lansaque; Agnes Borras; Marta Diez-Ferrer; Antoni Rosell; Debora Gil
Title
Towards a Videobronchoscopy Localization System from Airway Centre Tracking
Type
Conference Article
Year
2017
Publication
12th International Conference on Computer Vision Theory and Applications
Abbreviated Journal
Volume
Issue
Pages
352-359
Keywords
Video-bronchoscopy; Lung cancer diagnosis; Airway lumen detection; Region tracking; Guided bronchoscopy navigation
Abstract
Bronchoscopists use fluoroscopy to guide flexible bronchoscopy to the lesion to be biopsied without any kind of incision. Being fluoroscopy an imaging technique based on X-rays, the risk of developmental problems and cancer is increased in those subjects exposed to its application, so minimizing radiation is crucial. Alternative guiding systems such as electromagnetic navigation require specific equipment, increase the cost of the clinical procedure and still require fluoroscopy. In this paper we propose an image based guiding system based on the extraction of airway centres from intra-operative videos. Such anatomical landmarks are matched to the airway centreline extracted from a pre-planned CT to indicate the best path to the nodule. We present a
feasibility study of our navigation system using simulated bronchoscopic videos and a multi-expert validation of landmarks extraction in 3 intra-operative ultrathin explorations.
Address
Porto; Portugal; February 2017
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
VISAPP
Notes
IAM; 600.096; 600.075; 600.145
Approved
no
Call Number
Admin @ si @ SEB2017
Serial
2943
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
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
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
Select All
Deselect All
<<
1
2
>>
List View
|
Citations
|
Details