Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function1

Hoffman, Eric A.; Reinhardt, Joseph M.; Sonka, Milan; Simon, Brett A.; Guo, Junfeng; Saba, Osama I.; Chon, Deokiee; Samrah, Shaher; Shikata, Hidenori; Tschirren, Juerg; Palágyi, Kálmán; Beck, Kenneth C.; McLennan, Geoffrey

doi:10.1016/s1076-6332(03)00330-1

Cited by 176 publications

(153 citation statements)

References 49 publications

Supporting

Mentioning

147

Contrasting

Unclassified

Order By: Relevance

“…The isotropic voxels make it possible to measure airways in true cross-section at any location, using retrospective reconstruction of the images to achieve a cross-sectional image of the airway. A number of complex algorithms have been developed that allow this angle correction and measurement of the wall and lumen [1][2][3][4]. Therefore, studies can be tailored to the clinical or research question being asked in order to maximise image quality whilst minimising the radiation dose.…”

Section: General Methodsmentioning

confidence: 99%

Computed tomographic imaging of the airways: relationship to structure and function

Jong

Müller²,

Paré³

et al. 2005

European Respiratory Journal

156

View full text Add to dashboard Cite

Alterations in the structure of the airways, collectively termed airway remodelling, contribute to airflow obstruction in a variety of chronic lung diseases. While histology has provided valuable insights into the structure of airway wall remodelling, this technique is invasive and does not allow the longitudinal analysis of airway wall dimensions. Technical advances in computed tomography allow the assessment of airway wall dimensions, and are ideally suited for the noninvasive investigation of the pathogenesis of airway wall remodelling and the evaluation of new therapeutic interventions. The aim of this article is to review the use of computed tomography in the investigation of airway structure and function in health and disease.

show abstract

Section: General Methodsmentioning

confidence: 99%

Computed tomographic imaging of the airways: relationship to structure and function

Jong

Müller²,

Paré³

et al. 2005

European Respiratory Journal

156

View full text Add to dashboard Cite

show abstract

“…Theoretically, thin-section CT can depict the dimensions of airways as small as approximately 1-2 mm in inner diameter. Therefore, it has been suggested that CT can be used to evaluate airway dimensions in a variety of diseases (21)(22)(23)(24)(25)(26). However, there have been only a few studies that have focused on measuring the airway dimensions in patients with COPD (27)(28)(29)(30).…”

mentioning

confidence: 99%

Airflow Limitation and Airway Dimensions in Chronic Obstructive Pulmonary Disease

Hasegawa

Nasuhara

Onodera

et al. 2006

Am J Respir Crit Care Med

371

352

View full text Add to dashboard Cite

Rationale: Chronic obstructive pulmonary disease (COPD) is characterized by airflow limitation caused by emphysema and/or airway narrowing. Computed tomography has been widely used to assess emphysema severity, but less attention has been paid to the assessment of airway disease using computed tomography. Conclusions:We are the first to use three-dimensional computed tomography to demonstrate that airflow limitation in COPD is more closely related to the dimensions of the distal (small) airways than proximal (large) airways.

show abstract

“…This is of particular interest in the group of pathologies associated with organs in constant movement, for example the lung or the heart. These organs perform physiological movements that contaminate any acquisition protocol and confuse the diagnosis in microstructural diseases, such as in the interstice pathologies [15]. Another application is the multiscale analysis in many non rigid registration methods, for which the solution at a low-resolution version of the image is the initial condition to higher image resolution versions [24].…”

Section: Discussionmentioning

confidence: 99%

Multiresolution Reconstruction for Cone-Beam Tomography from Raw Data Projections Using 3D Ridgelets

2011

View full text Add to dashboard Cite

This paper presents a novel method which reconstructs any desired 3D image resolution from raw cone-beam CT data. X-ray attenuation through the object is approximated using ridgelet basis functions which allow us to have multiresolution representation levels. Since the Radon data have preferential orientations by nature, a spherical wavelet transform is used to compute the ridgelet coefficients from the Radon shell data. The whole method uses the classical Grangeat's relation for computing derivatives of the Radon data which are then integrated and projected to a spherical wavelet representation and back-reconstructed using a modified version of the well known back-projection algorithm. Unlike previous reconstruction methods, this proposal uses a multiscale representation of the Radon data and therefore allows fast display of low-resolution data level.

show abstract

Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function1

Cited by 176 publications

References 49 publications

Computed tomographic imaging of the airways: relationship to structure and function

Computed tomographic imaging of the airways: relationship to structure and function

Airflow Limitation and Airway Dimensions in Chronic Obstructive Pulmonary Disease

Multiresolution Reconstruction for Cone-Beam Tomography from Raw Data Projections Using 3D Ridgelets

Contact Info

Product

Resources

About