Výsledky vyhledávání - "E. M. van Rikxoort"

Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans

Autor: Jan-Martin Kuhnigk, Colin Jacobs, E. M. van Rikxoort, Bianca Lassen, B. van Ginneken

Publikováno v: Physics in Medicine and Biology, 60, 1307-1323
Physics in Medicine and Biology, 60, pp. 1307-1323

Contains fulltext : 153905.pdf (Publisher’s version ) (Open Access) The malignancy of lung nodules is most often detected by analyzing changes of the nodule diameter in follow-up scans. A recent study showed that comparing the volume or the mass of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4c0e9060692eb9942a5894779b43410
https://hdl.handle.net/2066/153905

Zobrazit plný text záznamu

Obstructive pulmonary disease in patients with previous tuberculosis: Pathophysiology of a community-based cohort

Autor: Brian Allwood, R. van Zyl-Smit, J Goldin, Q Said-Hartley, Eric D. Bateman, Rencia Gillespie, Nulda Beyers, C B Cooper, G Calligaro, E. M. van Rikxoort, Mary Bateman, Luís Taborda-Barata, Helena Olckers, Maya Galperin-Aizenberg

Publikováno v: Samj, 107, 440-445
South African Medical Journal; Vol 107, No 5 (2017); 440-445
SAMJ: South African Medical Journal, Volume: 107, Issue: 5, Pages: 440-445, Published: MAY 2017
South African Medical Journal, Vol 107, Iss 5, Pp 440-445 (2017)
Samj, 107, 5, pp. 440-445
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP

Background. An association between chronic airflow limitation (CAL) and a history of pulmonary tuberculosis (PTB) has been confirmed in epidemiological studies, but the mechanisms responsible for this association are unclear. It is debated whether CA

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::554355372959da196d5e67b39a9b66f3
https://pubmed.ncbi.nlm.nih.gov/28492127

Zobrazit plný text záznamu

Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis

Autor: P. A. de Jong, Onno M. Mets, Mathias Prokop, S.H.T. T. Opdam, B. van Ginneken, Jos Rooyackers, E. M. van Rikxoort, Colin Jacobs

Publikováno v: Medical Imaging: Computer-Aided Diagnosis

Silica dust-exposed individuals are at high risk of developing silicosis, a fatal and incurable lung disease. The presence of disseminated micronodules on thoracic CT is the radiological hallmark of silicosis but locating micronodules, to identify su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6648a8d2db774278eb9a1980d5068518
https://doi.org/10.1117/12.2043536

Zobrazit plný text záznamu

Normalization of CT scans reconstructed with different kernels to reduce variability in emphysema measurements

Autor: E. M. van Rikxoort, B. van Ginneken, L. Gallardo Estrella

Publikováno v: Medical Imaging: Computer-Aided Diagnosis

Chronic Obstructive Pulmonary Disease (COPD) is a lung disease characterized by progressive air flow limitation caused by emphysema and chronic bronchitis. Emphysema is quantified from chest computed tomography (CT) scans as the percentage of attentu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca177ab796ede0d6926e1a7cc742faa1
https://doi.org/10.1117/12.2007962

Zobrazit plný text záznamu

Automatic segmentation of the pulmonary lobes from chest CT scans based on fissures, vessels, and bronchi

Autor: Bianca Lassen, E. M. van Rikxoort, B. van Ginneken, Jan-Martin Kuhnigk, Sjoerd Kerkstra, Michael Schmidt

Publikováno v: IEEE Transactions on Medical Imaging, 32, 210-222
IEEE Transactions on Medical Imaging, 32, pp. 210-222

Contains fulltext : 118038.pdf (Publisher’s version ) (Open Access) Segmentation of the pulmonary lobes is relevant in clinical practice and particularly challenging for cases with severe diseases or incomplete fissures. In this work an automated s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::519609c780d364a52693e70a2540123a
https://publica.fraunhofer.de/handle/publica/231840

Zobrazit plný text záznamu

Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans

Autor: Onno M. Mets, E. M. van Rikxoort, B. van Ginneken, P. A. de Jong

Publikováno v: Medical Imaging: Computer-Aided Diagnosis

Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung disease that is characterized by airflow limitation. COPD is clinically diagnosed and monitored using pulmonary function testing (PFT), which measures global inspiration and expiration ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4375732f623a8b1a70e004eab195de09
https://doi.org/10.1117/12.911603

Zobrazit plný text záznamu

Scan-rescan reproducibility of CT densitometric measures of emphysema

Autor: M. S. Brown, Hyun J. Kim, Jonathan G. Goldin, E. M. van Rikxoort, Daniel Chong

Publikováno v: Medical Imaging: Computer-Aided Diagnosis

This study investigated the reproducibility of HRCT densitometric measures of emphysema in patients scanned twice one week apart. 24 emphysema patients from a multicenter study were scanned at full inspiration (TLC) and expiration (RV), then again a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::292c39da847171a1410fe1b6bac795fa
https://doi.org/10.1117/12.878240

Zobrazit plný text záznamu

Classification of pulmonary emphysema from chest CT scans using integral geometry descriptors

Autor: M. S. Brown, Maya Galperin-Aizenberg, Jonathan G. Goldin, E. M. van Rikxoort

Publikováno v: Medical Imaging: Computer-Aided Diagnosis

To gain insight into the underlying pathways of emphysema and monitor the effect of treatment, methods to quantify and phenotype the different types of emphysema from chest CT scans are of crucial importance. Current standard measures rely on density

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5540fbc69a59b601138dfa72f1b86288
https://doi.org/10.1117/12.878180

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání