scholarly journals OC2.03: Objective evaluation of Sylvian fissure development by multi-planar three-dimensional ultrasound

2005 ◽  
Vol 26 (4) ◽  
pp. 310-310
Author(s):  
P. Mittal ◽  
L. F. Gonçalves ◽  
J. P. Kusanovic ◽  
J. Espinoza ◽  
W. Lee ◽  
...  
2006 ◽  
Vol 27 (7) ◽  
pp. 1023-1029 ◽  
Author(s):  
Seiichi Nakata ◽  
Yukio Sato ◽  
Pujitha Gunaratne ◽  
Yoshiro Suzuki ◽  
Saiko Sugiura ◽  
...  

2011 ◽  
Vol 81 (20) ◽  
pp. 2168-2179 ◽  
Author(s):  
Bugao Xu ◽  
Wurong Yu ◽  
RongWu Wang

This paper introduces a three-dimensional (3D) imaging system designed for objective evaluation of fabric pilling. Thesystem was aimed at reconstructing high-fidelity 3D surfaces of fabric by using only two side-by-side images of a pilling fabric captured by a pair of regular digital cameras without special lighting. The robust calibration and stereo-matching algorithms were implemented to make the system insusceptible to fabric structures, colors, fiber contents and other factors. The depth data provide the most relevant information for pilling segmentation and measurements, because pilling is the protrusion of entangled fibers. 3D measurement data can be used for not only evaluating pilling appearance, but also for understanding pilling mechanisms in different abrasive treatments.


1999 ◽  
Vol 69 (7) ◽  
pp. 467-472 ◽  
Author(s):  
J. Fan ◽  
D. Lu ◽  
J.M.K. Macalpine ◽  
C.L.P. Hui

2021 ◽  
Vol 15 ◽  
Author(s):  
Hongbo Wang ◽  
Yu Liu ◽  
Xiaoxiao Zhen ◽  
Xuyan Tu

Depression has become one of the main afflictions that threaten people's mental health. However, the current traditional diagnosis methods have certain limitations, so it is necessary to find a method of objective evaluation of depression based on intelligent technology to assist in the early diagnosis and treatment of patients. Because the abnormal speech features of patients with depression are related to their mental state to some extent, it is valuable to use speech acoustic features as objective indicators for the diagnosis of depression. In order to solve the problem of the complexity of speech in depression and the limited performance of traditional feature extraction methods for speech signals, this article suggests a Three-Dimensional Convolutional filter bank with Highway Networks and Bidirectional GRU (Gated Recurrent Unit) with an Attention mechanism (in short 3D-CBHGA), which includes two key strategies. (1) The three-dimensional feature extraction of the speech signal can timely realize the expression ability of those depression signals. (2) Based on the attention mechanism in the GRU network, the frame-level vector is weighted to get the hidden emotion vector by self-learning. Experiments show that the proposed 3D-CBHGA can well establish mapping from speech signals to depression-related features and improve the accuracy of depression detection in speech signals.


2007 ◽  
Vol 26 (3) ◽  
pp. 347-353 ◽  
Author(s):  
Pooja Mittal ◽  
Luís F. Gonçalves ◽  
Juan Pedro Kusanovic ◽  
Jimmy Espinoza ◽  
Wesley Lee ◽  
...  

2014 ◽  
Vol 05 (02) ◽  
pp. 503-511 ◽  
Author(s):  
L. Baumann ◽  
M. Tengler ◽  
L. Piro ◽  
R. Blechschmidt-Trapp ◽  
N.E. Piro

SummaryBackground: Medical treatment in patients suffering from Parkinson’s disease is very difficult as dose-finding is mainly based on selective and subjective impressions by the physician.Objectives: To allow for the objective evaluation of patients’ symptoms required for optimal dose-finding, a telemonitoring system tracks the motion of patients in their surroundings. The system focuses on providing interoperability and usability in order to ensure high acceptance.Methods: Patients wear inertia sensors and perform standardized motor tasks. Data are recorded, processed and then presented to the physician in a 3D animated form. In addition, the same data is rated based on the UPDRS score. Interoperability is realized by developing the system in compliance with the recommendations of the Continua Health Alliance. Detailed requirements analysis and continuous collaboration with respective user groups help to achieve high usability.Results: A sensor platform was developed that is capable of measuring acceleration and angular rate of motions as well as the absolute orientation of the device itself through an included compass sensor. The system architecture was designed and required infrastructure, and essential parts of the communication between the system components were implemented following Continua guidelines. Moreover, preliminary data analysis based on three-dimensional acceleration and angular rate data could be established.Conclusion: A prototype system for the telemonitoring of Parkinson’s disease patients was successfully developed. The developed sensor platform fully satisfies the needs of monitoring patients of Parkinson’s disease and is comparable to other sensor platforms, although these sensor platforms have yet to be tested rigorously against each other. Suitable approaches to provide interoper-ability and usability were identified and realized and remain to be tested in the field.Citation: Piro NE, Baumann L, Tengler M, Piro L, Blechschmidt-Trapp R. Telemonitoring of patients with Parkinson’s disease using inertia sensors. Appl Clin Inf 2014; 5: 503–511 http://dx.doi.org/10.4338/ACI-04-RA-0046


2004 ◽  
Vol 18 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Sunao Mizumura ◽  
Joji Nakagawara ◽  
Masaaki Takahashi ◽  
Shin-Ichiro Kumita ◽  
Keiichi Cho ◽  
...  

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Kirsten Proost ◽  
Matthieu N. Boone ◽  
Ivàn Josipovic ◽  
Bart Pardon ◽  
Koen Chiers ◽  
...  

Abstract Background Despite dental disease being a common health concern in alpacas, important dental pathology including apical infection, remains poorly understood. Treatment options are limited compared to veterinary dentistry techniques in other species. The primary goal of this study was to increase understanding of the external and internal anatomy of mandibular cheek teeth to enable the development of tooth sparing techniques in this species. Also, an objective evaluation of the sub-occlusal dentinal thickness in normal mandibular cheek teeth is warranted to understand the risks associated with reduction of overgrown teeth. Results Overall pulp anatomy was variably characterized by the presence of a common pulp chamber in younger teeth, and segmentation of pulp cavities into multiple separate pulp entities within the same tooth with increasing age. A common pulp chamber was identified in 55.3% (26/47) of teeth with a mean dental age of 1 year and 11 months (± 1 year and 8 months). Columnar segmentation was recorded in the remaining teeth with a mean dental age of 6 years and 5 months (± 3 years and 11 months). Age of segmentation of the common pulp chamber into multiple separate pulp entities shows wide variation and is dependent of the specific Triadan position. The present study illustrates the presence of disto-mesial root contacts between adjacent tooth roots, often leading to morphological adaptations, most frequently observed between Triadan 09–10s (80%) and 10–11s (67%). The measured sub-occlusal dentinal thickness was as low as 1.11 mm over some pulp horns. The sub-occlusal dentinal thickness was lower than 2, 3, and 4 mm in 13.1, 38.1 and 61.4% of performed measurements, respectively. Conclusion This study provides detailed information on age-dependent mandibular cheek teeth anatomy in alpacas, which may support the use and development of advanced dental treatments in this species such as endodontics and tooth sectioning techniques. Apical morphological adaptations caused by disto-mesial root contact between adjacent mandibular cheek teeth are clearly illustrated. The limited amount of sub-occlusal secondary dentin warrants a cautious approach with regards to dental floating in alpacas.


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