Results 31 to 40 of about 17,546 (162)

Centerline Extraction of Vasculature Mesh

IEEE Access, 2018
Mesh representation of vasculature is fundamental to many medical applications. The benefit is a clean and tidy appearance in terms of visualization, as well as the possibility of applying computer-assisted intervention and preoperative planning for ...
Mingqiang Wei, Qiong Wang, Yichen Li, Wai-Man Pang, Luming Liang, Jun Wang, Kelvin Kian Loong Wong, Derek Abbott, Jing Qin, Jianhuang Wu   +9 more
doaj   +1 more source

DAVS-NET: Dense Aggregation Vessel Segmentation Network for retinal vasculature detection in fundus images.

PLoS ONE, 2021
In this era, deep learning-based medical image analysis has become a reliable source in assisting medical practitioners for various retinal disease diagnosis like hypertension, diabetic retinopathy (DR), arteriosclerosis glaucoma, and macular edema etc ...
Mohsin Raza, Khuram Naveed, Awais Akram, Nema Salem, Amir Afaq, Hussain Ahmad Madni, Mohammad A U Khan, Mui-Zzud- Din   +7 more
doaj   +2 more sources

First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset

Scientific Reports, 2023
A model-based planning tool, integrated in an imaging system, is envisioned for CT-guided percutaneous microwave ablation. This study aims to evaluate the biophysical model performance, by comparing its prediction retrospectively with the actual ablation
Bruno Frackowiak, Vincent Van den Bosch, Zoi Tokoutsi, Marco Baragona, Martijn de Greef, Aaldert Elevelt, Peter Isfort   +6 more
doaj   +1 more source

The Expanding Cell Diversity of the Brain Vasculature

Frontiers in Physiology, 2020
The cerebrovasculature is essential to brain health and is tasked with ensuring adequate delivery of oxygen and metabolic precursors to ensure normal neurologic function. This is coordinated through a dynamic, multi-directional cellular interplay between
Jayden M. Ross, Jayden M. Ross, Jayden M. Ross, Jayden M. Ross, Chang Kim, Chang Kim, Chang Kim, Denise Allen, Denise Allen, Denise Allen, Elizabeth E. Crouch, Kazim Narsinh, Daniel L. Cooke, Adib A. Abla, Tomasz J. Nowakowski, Tomasz J. Nowakowski, Tomasz J. Nowakowski, Tomasz J. Nowakowski, Ethan A. Winkler   +18 more
doaj   +1 more source

Automatic Segmentation and Classification Methods Using Optical Coherence Tomography Angiography (OCTA): A Review and Handbook

Applied Sciences, 2021
Optical coherence tomography angiography (OCTA) is a promising technology for the non-invasive imaging of vasculature. Many studies in literature present automated algorithms to quantify OCTA images, but there is a lack of a review on the most common ...
Kristen M. Meiburger, Massimo Salvi, Giulia Rotunno, Wolfgang Drexler, Mengyang Liu   +4 more
doaj   +1 more source

Automated Aneurysm Boundary Detection and Volume Estimation Using Deep Learning

Diagnostics
Background/Objective: Precise aneurysm volume measurement offers a transformative edge for risk assessment and treatment planning in clinical settings.
Alireza Bagheri Rajeoni, Breanna Pederson, Susan M. Lessner, Homayoun Valafar   +3 more
doaj   +1 more source

Structure-based level set method for automatic retinal vasculature segmentation [PDF]

EURASIP Journal on Image and Video Processing, 2014
Segmentation of vasculature in retinal fundus image by level set methods employing classical edge detection methodologies is a tedious task. In this study, a revised level set-based retinal vasculature segmentation approach is proposed. During preprocessing, intensity inhomogeneity on the green channel of input image is corrected by utilizing all image
Dizdaroglu, Bekir, Ataer-Cansizoglu, Esra, Kalpathy-Cramer, Jayashree, Keck, Katie, Chiang, Michael F., Erdogmus, Deniz   +5 more
openaire   +2 more sources

Neural Vessel Segmentation and Gaussian Splatting for 3D Reconstruction of Cerebral Angiography

AI
Cerebrovascular diseases are a leading cause of global mortality, underscoring the need for objective and quantitative 3D visualization of cerebral vasculature from dynamic imaging modalities.
Oleh Kryvoshei, Patrik Kamencay, Ladislav Polak   +2 more
doaj   +1 more source

Canine neuroanatomy: Development of a 3D reconstruction and interactive application for undergraduate veterinary education. [PDF]

PLoS ONE, 2017
Current methods used to communicate and present the complex arrangement of vasculature related to the brain and spinal cord is limited in undergraduate veterinary neuroanatomy training.
Hazel Raffan, Julien Guevar, Matthieu Poyade, Paul M Rea   +3 more
doaj   +1 more source

Intracranial vasculature 3D printing: review of techniques and manufacturing processes to inform clinical practice

3D Printing in Medicine, 2020
Background In recent years, three-dimensional (3D) printing has been increasingly applied to the intracranial vasculature for patient-specific surgical planning, training, education, and research.
Petrice M. Cogswell, Matthew A. Rischall, Amy E. Alexander, Hunter J. Dickens, Giuseppe Lanzino, Jonathan M. Morris   +5 more
doaj   +1 more source