scholarly journals 49-06: Using electromechanical wave imaging, a novel non-invasive ultrasound imaging tool to detect endocardial versus epicardial arrhythmia origins

EP Europace ◽  
2016 ◽  
Vol 18 (suppl_1) ◽  
pp. i31-i31
Author(s):  
Elaine Wan ◽  
Alexander Costet ◽  
Ethan Bunting ◽  
Julien Grondin ◽  
Hasan Garan ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Non Invasive ◽  
Imaging Tool ◽  
Wave Imaging

scholarly journals Review on automated follicle identification for polycystic ovarian syndrome

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
A A Nazarudin ◽  
Noraishikin Zulkarnain ◽  
A. Hussain ◽  
S. S. Mokri ◽  
I. N. A. M. Nordin
Keyword(s):  
Performance Evaluation ◽  
Ultrasound Imaging ◽  
Polycystic Ovarian Syndrome ◽  
Speckle Noise ◽  
Future Research ◽  
Health Treatment ◽  
Time Consumption ◽  
Non Invasive ◽  
And Performance ◽  
Ovarian Syndrome

Polycystic Ovarian Syndrome (PCOS), is a condition of the ovary consisting numerous follicles. Accurate size and number of follicles detected are crucial for treatment. Hence the diagnosis of this condition is by measuring and calculating the size and number of follicles existed in the ovary. For diagnosis, ultrasound imaging has become an effective tool as it is non-invasive, inexpensive and portable. However, the presence of speckle noise in ultrasound imaging has caused an obstruction for manual diagnosis which are high time consumption and often produce errors. Thus, image segmentation for ultrasound imaging is critical to identify follicles for PCOS diagnosis and proper health treatment. This paper presents different methods proposed and applied in automated follicle identification for PCOS diagnosis by previous researchers. In this paper, the methods and performance evaluation are identified and compared. Finally, this paper also provided suggestions in developing methods for future research.

DIFFUSION MRI-BASED FIBER TRACKING IN HEALTHY AND BRAIN INJURY PATIENTS: A COMPARISON OF DIFFERENT SOFTWARE TOOLS

2015 ◽  
Vol 15 (02) ◽  
pp. 1540020
Author(s):  
GIULIA LUCCONI ◽  
CHIARA ROMEO ◽  
ROBERTO BONETTI ◽  
PATRIZIA CENNI ◽  
NICOLETTA SCRITTORI
Keyword(s):  
Brain Injury ◽  
Corpus Callosum ◽  
Corticospinal Tract ◽  
Preoperative Imaging ◽  
Brain Images ◽  
Non Invasive ◽  
Imaging Tool ◽  
Termination Criteria ◽  
Fibers Orientation ◽  
Deterministic And Probabilistic Approaches

In this work, we compared different DTI-based fibertracking software using deterministic and probabilistic approaches. DTI brain images of 35 healthy and five brain-injury patients were acquired with Philips Achieva 1.5 T scanner using an EPI-SE DTI sequence with 16 diffusion directions. Images were analyzed with Philips FiberTrack module, DTI-Studio and FSL. We studied corticospinal tract and corpus callosum, considering different termination criteria for the fibertracking algorithm. Group studies were performed to create a database of healthy patients. Results of FSL fibertracking with 1 or 2 fibers per voxel were no statistically different. T-tests between Philips and DTI-Studio led to p-values > 0.01 for corticospinal tract and < 0.01 for corpus callosum. FSL analysis led to higher ADC and lower FA values, with significative differences with the other software. In brain injury patients we measured different fibers orientation, reduced FA and increased ADC around the lesion. In conclusion, although DTI fibertracking is a promising non-invasive preoperative imaging tool, the outcome is strongly influenced by the algorithm used and the parameters chosen for the seed generation and fiber propagation.

scholarly journals Non-invasive spinal vibration testing using ultrafast ultrasound imaging: A new way to measure spine function

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Tarek Kaddoura ◽  
Anthony Au ◽  
Greg Kawchuk ◽  
Richard Uwiera ◽  
Richard Fox ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Vibration Testing ◽  
Non Invasive ◽  
Spine Function

scholarly journals Multiplane wave imaging increases signal-to-noise ratio in ultrafast ultrasound imaging

2015 ◽  
Vol 60 (21) ◽  
pp. 8549-8566 ◽  
Author(s):  
Elodie Tiran ◽  
Thomas Deffieux ◽  
Mafalda Correia ◽  
David Maresca ◽  
Bruno-Felix Osmanski ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Wave Imaging ◽  
Noise Ratio
Sign in / Sign up

Export Citation Format

Share Document