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Author
Debora Gil; Agnes Borras; Manuel Ballester; Francesc Carreras; Ruth Aris; Manuel Vazquez; Enric Marti; Ferran Poveda
Title
MIOCARDIA: Integrating cardiac function and muscular architecture for a better diagnosis
Type
Conference Article
Year
2011
Publication
14th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Deep understanding of myocardial structure of the heart would unravel crucial knowledge for clinical and medical procedures. The MIOCARDIA project is a multidisciplinary project in cooperation with l'Hospital de la Santa Creu i de Sant Pau, Clinica la Creu Blanca and Barcelona Supercomputing Center. The ultimate goal of this project is defining a computational model of the myocardium. The model takes into account the deep interrelation between the anatomy and the mechanics of the heart. The paper explains the workflow of the MIOCARDIA project. It also introduces a multiresolution reconstruction technique based on DT-MRI streamlining for simplified global myocardial model generation. Our reconstructions can restore the most complex myocardial structures and provides evidences of a global helical organization.
Address
Barcelona; Spain
Corporate Author
Association for Computing Machinery
Thesis
Publisher
Place of Publication
Barcelona, Spain
Editor
Association for Computing Machinery
Language
english
Summary Language
english
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
978-1-4503-0913-4
Medium
Area
Expedition
Conference
ISABEL
Notes
IAM
Approved
no
Call Number
IAM @ iam @ GGB2011
Serial
1691
Permanent link to this record
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
Esmitt Ramirez; Carles Sanchez; Agnes Borras; Marta Diez-Ferrer; Antoni Rosell; Debora Gil
Title
Image-Based Bronchial Anatomy Codification for Biopsy Guiding in Video Bronchoscopy
Type
Conference Article
Year
2018
Publication
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis
Abbreviated Journal
Volume
11041
Issue
Pages
Keywords
Biopsy guiding; Bronchoscopy; Lung biopsy; Intervention guiding; Airway codification
Abstract
Bronchoscopy examinations allow biopsy of pulmonary nodules with minimum risk for the patient. Even for experienced bronchoscopists, it is difficult to guide the bronchoscope to most distal lesions and obtain an accurate diagnosis. This paper presents an image-based codification of the bronchial anatomy for bronchoscopy biopsy guiding. The 3D anatomy of each patient is codified as a binary tree with nodes representing bronchial levels and edges labeled using their position on images projecting the 3D anatomy from a set of branching points. The paths from the root to leaves provide a codification of navigation routes with spatially consistent labels according to the anatomy observes in video bronchoscopy explorations. We evaluate our labeling approach as a guiding system in terms of the number of bronchial levels correctly codified, also in the number of labels-based instructions correctly supplied, using generalized mixed models and computer-generated data. Results obtained for three independent observers prove the consistency and reproducibility of our guiding system. We trust that our codification based on viewer’s projection might be used as a foundation for the navigation process in Virtual Bronchoscopy systems.
Address
Granada; September 2018
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
LNCS
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
MICCAIW
Notes
IAM; 600.096; 600.075; 601.323; 600.145
Approved
no
Call Number
Admin @ si @ RSB2018b
Serial
3137
Permanent link to this record
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