11 research outputs found
3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging
Segmentation of medical images is critical for making several processes of
analysis and classification more reliable. With the growing number of people
presenting back pain and related problems, the semi-automatic segmentation and
3D reconstruction of vertebral bodies became even more important to support
decision making. A 3D reconstruction allows a fast and objective analysis of
each vertebrae condition, which may play a major role in surgical planning and
evaluation of suitable treatments. In this paper, we propose 3DBGrowth, which
develops a 3D reconstruction over the efficient Balanced Growth method for 2D
images. We also take advantage of the slope coefficient from the annotation
time to reduce the total number of annotated slices, reducing the time spent on
manual annotation. We show experimental results on a representative dataset
with 17 MRI exams demonstrating that our approach significantly outperforms the
competitors and, on average, only 37% of the total slices with vertebral body
content must be annotated without losing performance/accuracy. Compared to the
state-of-the-art methods, we have achieved a Dice Score gain of over 5% with
comparable processing time. Moreover, 3DBGrowth works well with imprecise seed
points, which reduces the time spent on manual annotation by the specialist.Comment: This is a pre-print of an article published in Computer-Based Medical
Systems. The final authenticated version is available online at:
https://doi.org/10.1109/CBMS.2019.0009
Simulated dataset for Visual Odomtry - drone flight
<p>This dataset was used in the article entitled <strong>SiaN-VO: Siamese Network for Visual Odometry</strong>.</p><p>The files val_dataset_simulated_32x32.hdf5 and train_dataset_simulated_32x32.hdf5 are used in the training stage. The model generated is tested individually in the other files (which correspond to individual routes).</p>
IoT-Based System Monitoring of the Sleep Environment - A Study Aimed at the Elderly
The aging process in our population can cause changes in people’s sleeping patterns, more specifically in the elderly, by impairing their cognitive abilities, quality of life, and autonomy. Advances in Ubiquitous Computing and Internet of Things have contributed to the monitoring of such situations. In particular, the use of sensors to evaluate the environment and aspects related to the health and well-being of individuals, as well as providing event alerts. The main objective of this experiment is to propose a monitoring system based on both the responses of multiple sensors (brightness, microphone, accelerometer, and gyroscope) at runtime to classify the environment for elderly people’s sleep quality. The results show that using embedded devices, and capturing environmental aspects through sensors, can develop solutions that offer more safety and comfort to the individuals’ sleep quality environment
The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides
The application of pesticides and fertilizers in agricultural areas is of crucial importance for crop yields. The use of aircrafts is becoming increasingly common in carrying out this task mainly because of their speed and effectiveness in the spraying operation. However, some factors may reduce the yield, or even cause damage (e.g., crop areas not covered in the spraying process, overlapping spraying of crop areas, applying pesticides on the outer edge of the crop). Weather conditions, such as the intensity and direction of the wind while spraying, add further complexity to the problem of maintaining control. In this paper, we describe an architecture to address the problem of self-adjustment of the UAV routes when spraying chemicals in a crop field. We propose and evaluate an algorithm to adjust the UAV route to changes in wind intensity and direction. The algorithm to adapt the path runs in the UAV and its input is the feedback obtained from the wireless sensor network (WSN) deployed in the crop field. Moreover, we evaluate the impact of the number of communication messages between the UAV and the WSN. The results show that the use of the feedback information from the sensors to make adjustments to the routes could significantly reduce the waste of pesticides and fertilizers.CNPq (Processo No. 08/57870-9 e No. 473493/2013-6 ID)RNP (Rede Nacional de Pesquisa) - CIA2-RIOFAPESP (Processo No. 573963/2008-8 e 2012/22550-0 IDFundação Capes Ministério da Educação do Brasil (processo No. BEX 4202-11-2
Pregnancy-Related Complications in Patients With Fibromuscular Dysplasia:A Report From the European/International Fibromuscular Dysplasia Registry
Current literature suggests a higher risk of pregnancy-related complications in patients with renal fibromuscular dysplasia (FMD). The aim of our study was to assess the nature and prevalence of pregnancy-related complications in patients subsequently diagnosed with FMD. A call for participation was sent to centers contributing to the European/International FMD Registry. Patients with at least 1 pregnancy were included. Data on pregnancy were collected through medical files and FMD characteristics through the European/International FMD Registry. Data from 534 pregnancies were obtained in 237 patients. Despite the fact that, in 96% of cases, FMD was not diagnosed before pregnancy, 40% of women (n=93) experienced pregnancy-related complications, mostly gestational hypertension (25%) and preterm birth (20%), while preeclampsia was reported in only 7.5%. Only 1 patient experienced arterial dissection and another patient an aneurysm rupture. When compared with patients without pregnancy-related complications, patients with complicated pregnancies were younger at FMD diagnosis (43 versus 51 years old; P<0.001) and had a lower prevalence of cerebrovascular FMD (30% versus 52%; P=0.003) but underwent more often renal revascularization (63% versus 40%, P<0.001). In conclusion, the prevalence of pregnancy-related complications such as gestational hypertension and preterm birth was high in patients with FMD, probably related to the severity of renal FMD. However, the prevalence of preeclampsia and arterial complications was low/moderate. These findings emphasize the need to screen hypertensive women for FMD to ensure revascularization before pregnancy if indicated and appropriate follow-up during pregnancy, without discouraging patients with FMD from considering pregnancy
Pregnancy-Related Complications in Patients With Fibromuscular Dysplasia: A Report From the European/International Fibromuscular Dysplasia Registry
Current literature suggests a higher risk of pregnancy-related complications in patients with renal fibromuscular dysplasia (FMD). The aim of our study was to assess the nature and prevalence of pregnancy-related complications in patients subsequently diagnosed with FMD. A call for participation was sent to centers contributing to the European/International FMD Registry. Patients with at least 1 pregnancy were included. Data on pregnancy were collected through medical files and FMD characteristics through the European/International FMD Registry. Data from 534 pregnancies were obtained in 237 patients. Despite the fact that, in 96% of cases, FMD was not diagnosed before pregnancy, 40% of women (n=93) experienced pregnancy-related complications, mostly gestational hypertension (25%) and preterm birth (20%), while preeclampsia was reported in only 7.5%. Only 1 patient experienced arterial dissection and another patient an aneurysm rupture. When compared with patients without pregnancy-related complications, patients with complicated pregnancies were younger at FMD diagnosis (43 versus 51 years old; P<0.001) and had a lower prevalence of cerebrovascular FMD (30% versus 52%; P=0.003) but underwent more often renal revascularization (63% versus 40%, P<0.001). In conclusion, the prevalence of pregnancy-related complications such as gestational hypertension and preterm birth was high in patients with FMD, probably related to the severity of renal FMD. However, the prevalence of preeclampsia and arterial complications was low/moderate. These findings emphasize the need to screen hypertensive women for FMD to ensure revascularization before pregnancy if indicated and appropriate follow-up during pregnancy, without discouraging patients with FMD from considering pregnancy.Current literature suggests a higher risk of pregnancy-related complications in patients with renal fibromuscular dysplasia (FMD). The aim of our study was to assess the nature and prevalence of pregnancy-related complications in patients subsequently diagnosed with FMD. A call for participation was sent to centers contributing to the European/International FMD Registry. Patients with at least 1 pregnancy were included. Data on pregnancy were collected through medical files and FMD characteristics through the European/International FMD Registry. Data from 534 pregnancies were obtained in 237 patients. Despite the fact that, in 96% of cases, FMD was not diagnosed before pregnancy, 40% of women (n=93) experienced pregnancy-related complications, mostly gestational hypertension (25%) and preterm birth (20%), while preeclampsia was reported in only 7.5%. Only 1 patient experienced arterial dissection and another patient an aneurysm rupture. When compared with patients without pregnancy-related complications, patients with complicated pregnancies were younger at FMD diagnosis (43 versus 51 years old; P<0.001) and had a lower prevalence of cerebrovascular FMD (30% versus 52%; P=0.003) but underwent more often renal revascularization (63% versus 40%, P<0.001). In conclusion, the prevalence of pregnancy-related complications such as gestational hypertension and preterm birth was high in patients with FMD, probably related to the severity of renal FMD. However, the prevalence of preeclampsia and arterial complications was low/moderate. These findings emphasize the need to screen hypertensive women for FMD to ensure revascularization before pregnancy if indicated and appropriate follow-up during pregnancy, without discouraging patients with FMD from considering pregnancy