scholarly journals Towards ultrasound-guided adaptive radiotherapy for cervical cancer: Evaluation of Elekta's semiautomated uterine segmentation method on 3D ultrasound images

2017 ◽  
Vol 44 (7) ◽  
pp. 3630-3638 ◽  
Author(s):  
Sarah A. Mason ◽  
Tuathan P. O’Shea ◽  
Ingrid M. White ◽  
Susan Lalondrelle ◽  
Kate Downey ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
3D Ultrasound ◽  
Adaptive Radiotherapy ◽  
Ultrasound Images ◽  
Segmentation Method ◽  
Ultrasound Guided

MO-D-220-07: Semi-Automated Segmentation Method to Quantify Carotid Atherosclerosis from 3D Ultrasound Images

2011 ◽  
Vol 38 (6Part26) ◽  
pp. 3718-3718
Author(s):  
E Ukwatta ◽  
J Awad ◽  
A Ward ◽  
D Buchanan ◽  
J Samarabandu ◽  
...  
Keyword(s):  
Carotid Atherosclerosis ◽  
3D Ultrasound ◽  
Ultrasound Images ◽  
Automated Segmentation ◽  
Segmentation Method

Automatic superpixel-based segmentation method for breast ultrasound images

2019 ◽  
Vol 121 ◽  
pp. 78-96 ◽  
Author(s):  
Mohammad I. Daoud ◽  
Ayman A. Atallah ◽  
Falah Awwad ◽  
Mahasen Al-Najjar ◽  
Rami Alazrai
Keyword(s):  
Breast Ultrasound ◽  
Ultrasound Images ◽  
Segmentation Method

scholarly journals Performance Evaluation of Contour Based Segmentation Methods for Ultrasound Images

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
R. J. Hemalatha ◽  
V. Vijaybaskar ◽  
T. R. Thamizhvani
Keyword(s):  
Active Contour ◽  
Performance Metrics ◽  
Ultrasound Image ◽  
Medical Image Segmentation ◽  
Similarity Criteria ◽  
Support Vector ◽  
Svm Classifier ◽  
Ultrasound Images ◽  
Segmentation Method ◽  
Region Detection

Active contour methods are widely used for medical image segmentation. Using level set algorithms the applications of active contour methods have become flexible and convenient. This paper describes the evaluation of the performance of the active contour models using performance metrics and statistical analysis. We have implemented five different methods for segmenting the synovial region in arthritis affected ultrasound image. A comparative analysis between the methods of segmentation was performed and the best segmentation method was identified using similarity criteria, standard error, and F-test. For further analysis, classification of the segmentation techniques using support vector machine (SVM) classifier is performed to determine the absolute method for synovial region detection. With these results, localized region based active contour named Lankton method is defined to be the best segmentation method.

Validation of an automatic segmentation method to detect vertebral interfaces in ultrasound images

2016 ◽  
Vol 10 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Matteo Aventaggiato ◽  
Maurizio Muratore ◽  
Paola Pisani ◽  
Aimè Lay-Ekuakille ◽  
Francesco Conversano ◽  
...  
Keyword(s):  
Automatic Segmentation ◽  
Ultrasound Images ◽  
Segmentation Method

scholarly journals 3D ultrasound–guided resection of low-grade gliomas: principles and clinical examples

2019 ◽  
Vol 47 (6) ◽  
pp. E9 ◽  
Author(s):  
Geirmund Unsgård ◽  
Frank Lindseth
Keyword(s):  
3D Ultrasound ◽  
High Accuracy ◽  
Low Grade ◽  
Ultrasound Guided ◽  
High Quality ◽  
Case Examples ◽  
Low Grade Gliomas ◽  
Mesial Temporal Lobe ◽  
Temporal Lobe Lesions

3D ultrasound (US) is a convenient tool for guiding the resection of low-grade gliomas, seemingly without deterioration in patients’ quality of life. This article offers an update of the intraoperative workflow and the general principles behind the 3D US acquisition of high-quality images.The authors also provide case examples illustrating the technique in two small mesial temporal lobe lesions and in one insular glioma. Due to the ease of acquiring new images for navigation, the operations can be guided by updated image volumes throughout the entire course of surgery. The high accuracy offered by 3D US systems, based on nearly real-time images, allows for precise and safe resections. This is especially useful when an operation is performed through very narrow transcortical corridors.

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