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Your search keyword '"Diameter measurement"' showing total 2 results
Start Over Descriptor "Diameter measurement" Journal european radiology
2 results on '"Diameter measurement"'

1. Non-contrast 3D black blood MRI for abdominal aortic aneurysm surveillance: comparison with CT angiography.

Author

Zhu, Chengcheng, Tian, Bing, Leach, Joseph R, Liu, Qi, Lu, Jianping, Chen, Luguang, Saloner, David, and Hope, Michael D

Subjects
Humans, Aortic Aneurysm, Abdominal, Thrombosis, Disease Progression, Contrast Media, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Retrospective Studies, Reproducibility of Results, Aged, Middle Aged, Female, Male, Computed Tomography Angiography, Abdominal aortic aneurysm surveillance, CT angiography, Diameter measurement, Intraluminal thrombus composition, Non-contrast MRI, Biomedical Imaging, Rare Diseases, Clinical Research, Cardiovascular, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Clinical Sciences, Nuclear Medicine & Medical Imaging
Abstract

ObjectivesManagement of abdominal aortic aneurysms (AAAs) is based on diameter. CT angiography (CTA) is commonly used, but requires radiation and iodinated contrast. Non-contrast MRI is an appealing alternative that may allow better characterization of intraluminal thrombus (ILT). This study aims to 1) validate non-contrast MRI for measuring AAA diameter, and 2) to assess ILT with CTA and MRI.Method28 patients with AAAs (diameter 50.7 ± 12.3 mm) underwent CTA and non-contrast MRI. MRI was acquired at 3 T using 1) a conventional 3D gradient echo (GRE) sequence and 2) a 3D T1-weighted black blood fast-spin-echo sequence. Two radiologists independently measured the AAA diameter. The ratio of signal of ILT and adjacent psoas muscle (ILTr = signalILT/signalMuscle) was quantified.ResultsStrong agreement between CTA and non-contrast MRI was shown for AAA diameter (intra-class coefficient > 0.99). Both approaches had excellent inter-observer reproducibility (ICC > 0.99). ILT appeared homogenous on CTA, whereas MRI revealed compositional variations. Patients with AAAs ≥5.5 cm and

Published
2017

2. Automated 3D segmentation and diameter measurement of the thoracic aorta on non-contrast enhanced CT

Author

Ricardo P.J. Budde, Marleen de Bruijne, Jesper Holst Pedersen, Daniel Bos, Zahra Sedghi Gamechi, Lidia R. Bons, Klaus F. Kofoed, Marco Giordano, Jolien W. Roos-Hesselink, Cardiology, Medical Informatics, Radiology & Nuclear Medicine, and Epidemiology

Subjects
Male, medicine.medical_specialty, Diameter measurement, Computed Tomography Angiography, Aorta, Thoracic, Computed tomography, X-ray, Thoracic aorta, Three-dimensional image, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Computed Tomography, Imaging, Three-Dimensional, medicine.artery, medicine, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Aorta, Aged, business.industry, Ultrasound, Reproducibility of Results, General Medicine, Repeatability, Middle Aged, Dilatation, Computer-assisted image analysis, Cross-Sectional Studies, 030220 oncology & carcinogenesis, Descending aorta, Pulmonary artery, Radiographic Image Interpretation, Computer-Assisted, Female, Radiology, business, Tomography, X-Ray Computed, Algorithms, Biomedical engineering
Abstract

Objectives To develop and evaluate a fully automatic method to measure diameters of the ascending and descending aorta on non-ECG-gated, non-contrast computed tomography (CT) scans. Material and methods The method combines multi-atlas registration to obtain seed points, aorta centerline extraction, and an optimal surface segmentation approach to extract the aorta surface around the centerline. From the extracted 3D aorta segmentation, the diameter of the ascending and descending aorta was calculated at cross-sectional slices perpendicular to the extracted centerline, at the level of the pulmonary artery bifurcation, and at 1-cm intervals up to 3 cm above and below this level. Agreement with manual annotations was evaluated by dice similarity coefficient (DSC) for segmentation overlap, mean surface distance (MSD), and intra-class correlation (ICC) of diameters on 100 CT scans from a lung cancer screening trial. Repeatability of the diameter measurements was evaluated on 617 baseline-one year follow-up CT scan pairs. Results The agreement between manual and automatic segmentations was good with 0.95 ± 0.01 DSC and 0.56 ± 0.08 mm MSD. ICC between the diameters derived from manual and from automatic segmentations was 0.97, with the per-level ICC ranging from 0.87 to 0.94. An ICC of 0.98 for all measurements and per-level ICC ranging from 0.91 to 0.96 were obtained for repeatability. Conclusion This fully automatic method can assess diameters in the thoracic aorta reliably even in non-ECG-gated, non-contrast CT scans. This could be a promising tool to assess aorta dilatation in screening and in clinical practice. Key Points • Fully automatic method to assess thoracic aorta diameters. • High agreement between fully automatic method and manual segmentations. • Method is suitable for non-ECG-gated CT and can therefore be used in screening. Electronic supplementary material The online version of this article (10.1007/s00330-018-5931-z) contains supplementary material, which is available to authorized users.

Published
2019

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