An automatic tool for thoracic aorta segmentation and 3D geometric analysis

2015 ◽  
Author(s):  
Chiara Trentin ◽  
Elena Faggiano ◽  
Michele Conti ◽  
Ferdinando Auricchio
Keyword(s):  
Thoracic Aorta ◽  
Geometric Analysis ◽  
Automatic Tool

scholarly journals A deep learning-based and fully automated pipeline for thoracic aorta geometric analysis and TEVAR planning from computed tomography

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
S Saitta ◽  
F Sturla ◽  
A Caimi ◽  
A Riva ◽  
MC Palumbo ◽  
...  
Keyword(s):  
Aortic Arch ◽  
Thoracic Aorta ◽  
Geometric Analysis ◽  
Ground Truth ◽  
Radius Of Curvature ◽  
Geometric Features ◽  
Anatomical Landmarks ◽  
Landing Zone ◽  
Increased Risk ◽  
Automated Pipeline

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Ministry of Publich Health - Ricerca Corrente Introduction Thoracic endovascular aortic repair (TEVAR) represents a well-established alternative to open repair in selected patients. Its preoperative feasibility assessment and planning requires a computational tomography (CT)-based analysis of the geometric aortic features to identify an adequate proximal and distal landing zone (LZ) for endograft deployment. Yet, controversies persist on the definition and methods of measurement of specific geometric features of the LZs, including angulation and tortuosity, which are associated with an increased risk of postoperative endograft failure. In this respect, the development of a preoperative image processing method that provides an automatic and highly reproducible 3D identification of critical geometric features and specific anatomical landmarks, thus reducing the time and uncertainties related to manual segmentation, remains a largely unmet clinical need. In this study, we developed and applied a fully automated pipeline embedding a convolutional neural network (CNN), which feeds on 3D CT images to automatically segment the thoracic aorta, recognize the relevant anatomical landmarks and LZs, and quantifies the geometry of the aortic arch in each proximal LZ s (i.e. 0 to 3). Methods Ninety  CT scans of healthy aortas were retrieved, being the study conceived as a proof of concept analysis. The thoracic aorta was manually segmented by five independent and expert operators. 72 scans with the corresponding ground truth segmentations were randomly selected and used to train the CNN, which was based on a 3D U-Net architecture. The other 18 scans were used to test the CNN-based segmentations. The fully automated pipeline was obtained by integrating the CNN, 3D geometry skeletonization, and processing of the aortic centerline and wall via computational geometry (Figure). The resulting metrics included aortic arch centerline radius of curvature, proximal landing zones (PLZs) maximum diameters, angulation and tortuosity calculated according to previously published work. These parameters were statistically analyzed to compare standard arches vs. arches with a common origin of the innominate and left carotid artery (CILCA), and the different landing zones in each arch type. Results The CNN segmentation yielded a mean Dice score of 0.94 with respect to manual ground truth segmentations. Standard arches were characterized by significantly larger radius of curvature (p = 0.002) and lower tortuosity in zone 3 (p = 0.004) vs. CILCA arches. For both standard and CILCA arches, comparisons among PLZs revealed statistically significant differences in maximum zone diameters (p < 0.0001), angulation (p < 0.0001) and tortuosity (p < 0.0001). Conclusions We developed a CNN-based automated pipeline for the automated, and reliable geometric quantification of standard and CILCA aortic arches. This tool has the potential to support TEVAR pre-procedural planning in a real clinical setting. Abstract Figure. Automatic pipeline scheme

scholarly journals TCT-323 Geometric analysis of thoracic aorta and arch branches before and after TEVAR

2015 ◽  
Vol 66 (15) ◽  
pp. B129
Author(s):  
Ga-Young Suh ◽  
Kelsey Hirotsu ◽  
Yufei D. Zhu ◽  
Jason Lee ◽  
Michael Dake ◽  
...  
Keyword(s):  
Thoracic Aorta ◽  
Geometric Analysis ◽  
Before And After

Liquid crystalline ordering of paired helical filaments in neurofibrillary tangles of Alzheimer's disease

1986 ◽  
Vol 44 ◽  
pp. 348-349
Author(s):  
D.F. Clapin ◽  
V.J.A. Montpetit
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neurofibrillary Tangles ◽  
Liquid Crystalline ◽  
Amyloid Fibrils ◽  
Geometric Analysis ◽  
Paired Helical Filaments ◽  
Microscopic Level ◽  
Light Microscopic Level ◽  
Regular Spacing

Alzheimer's disease is characterized by the accumulation of abnormal filamentous proteins. The most important of these are amyloid fibrils and paired helical filaments (PHF). PHF are located intraneuronally forming bundles called neurofibrillary tangles. The designation of these structures as "tangles" is appropriate at the light microscopic level. However, localized domains within individual tangles appear to demonstrate a regular spacing which may indicate a liquid crystalline phase. The purpose of this paper is to present a statistical geometric analysis of PHF packing.

Dilatation of the entire thoracic aorta in patients with bicuspid aortic valve: a magnetic resonance angiography study

VASA ◽  
2005 ◽  
Vol 34 (3) ◽  
pp. 181-185 ◽  
Author(s):  
Westhoff-Bleck ◽  
Meyer ◽  
Lotz ◽  
Tutarel ◽  
Weiss ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Angiography ◽  
Aortic Valve ◽  
Pulmonary Artery ◽  
Aortic Arch ◽  
Thoracic Aorta ◽  
Aortic Root ◽  
Ascending Aorta ◽  
Descending Aorta ◽  
Severe Aortic Regurgitation

Background: The presence of a bicuspid aortic valve (BAV) might be associated with a progressive dilatation of the aortic root and ascending aorta. However, involvement of the aortic arch and descending aorta has not yet been elucidated. Patients and methods: Magnetic resonance angiography (MRA) was used to assess the diameter of the ascending aorta, aortic arch, and descending aorta in 28 patients with bicuspid aortic valves (mean age 30 ± 9 years). Results: Patients with BAV, but without significant aortic stenosis or regurgitation (n = 10, mean age 27 ± 8 years, n.s. versus control) were compared with controls (n = 13, mean age 33 ± 10 years). In the BAV-patients, aortic root diameter was 35.1 ± 4.9 mm versus 28.9 ± 4.8 mm in the control group (p < 0.01). The diameter of the ascending aorta was also significantly increased at the level of the pulmonary artery (35.5 ± 5.6 mm versus 27.0 ± 4.8 mm, p < 0.001). BAV-patients with moderate or severe aortic regurgitation (n = 18, mean age 32 ± 9 years, n.s. versus control) had a significant dilatation of the aortic root, ascending aorta at the level of the pulmonary artery (41.7 ± 4.8 mm versus 27.0 ± 4.8 mm in control patients, p < 0.001) and, furthermore, significantly increased diameters of the aortic arch (27.1 ± 5.6 mm versus 21.5 ± 1.8 mm, p < 0.01) and descending aorta (21.8 ± 5.6 mm versus 17.0 ± 5.6 mm, p < 0.01). Conclusions: The whole thoracic aorta is abnormally dilated in patients with BAV, particularly in patients with moderate/severe aortic regurgitation. The maximum dilatation occurs in the ascending aorta at the level of the pulmonary artery. Thus, we suggest evaluation of the entire thoracic aorta in patients with BAV.

Management of thoracic aortic lesions - the future is endovascular

VASA ◽  
2012 ◽  
Vol 41 (3) ◽  
pp. 163-176 ◽  
Author(s):  
Weidenhagen ◽  
Bombien ◽  
Meimarakis ◽  
Geisler ◽  
A. Koeppel
Keyword(s):  
Thoracic Aorta ◽  
Clinical Decision Making ◽  
Treatment Options ◽  
Clinical Decision ◽  
Clinical Results ◽  
Treatment Modalities ◽  
Traumatic Rupture ◽  
Descending Thoracic Aorta ◽  
New Treatment ◽  
Aneurysm Dissection

Open surgical repair of lesions of the descending thoracic aorta, such as aneurysm, dissection and traumatic rupture, has been the “state-of-the-art” treatment for many decades. However, in specialized cardiovascular centers, thoracic endovascular aortic repair and hybrid aortic procedures have been implemented as novel treatment options. The current clinical results show that these procedures can be performed with low morbidity and mortality rates. However, due to a lack of randomized trials, the level of reliability of these new treatment modalities remains a matter of discussion. Clinical decision-making is generally based on the experience of the vascular center as well as on individual factors, such as life expectancy, comorbidity, aneurysm aetiology, aortic diameter and morphology. This article will review and discuss recent publications of open surgical, hybrid thoracic aortic (in case of aortic arch involvement) and endovascular repair in complex pathologies of the descending thoracic aorta.

Penetrating atherosclerotic ulcer aneurysm of the innominate artery

VASA ◽  
2009 ◽  
Vol 38 (3) ◽  
pp. 263-266 ◽  
Author(s):  
Yuan ◽  
Tager
Keyword(s):  
Conservative Treatment ◽  
Thoracic Aorta ◽  
Open Surgery ◽  
Innominate Artery ◽  
Ruptured Aneurysm ◽  
Descending Thoracic Aorta ◽  
Penetrating Atherosclerotic Ulcer ◽  
Descending Aorta

Penetrating atherosclerotic ulcer of the aorta is uncommon, and usually develops in the descending thoracic aorta. Rarely this condition involves the branch vessels of the aorta. We report a case of ruptured aneurysm of the innominate artery resulting from penetrating atherosclerotic ulcer. Open surgery was the treatment of choice for the ruptured aneurysm, while conservative treatment was recommended for the associated penetrating atherosclerotic ulcers of the descending aorta.

Geometric analysis

1976 ◽  
Vol 55 (2) ◽  
pp. 67
Author(s):  
C.A. Gladman ◽  
R.A. Williams
Keyword(s):  
Geometric Analysis
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