Multi-to-binary network (MTBNet) for automated multi-organ segmentation on multi-sequence abdominal MRI images

2020 ◽  
Vol 65 (16) ◽  
pp. 165013
Author(s):  
Xiangming Zhao ◽  
Minxin Huang ◽  
Laquan Li ◽  
X Sharon Qi ◽  
Shan Tan
Keyword(s):  
Abdominal Mri ◽  
Binary Network

scholarly journals Effective bowel motion reduction in mouse abdominal MRI using hyoscine butylbromide

2021 ◽  
Author(s):  
Carlos Bilreiro ◽  
Francisca F. Fernandes ◽  
Luísa Andrade ◽  
Cristina Chavarrías ◽  
Rui V. Simões ◽  
...  
Keyword(s):  
Hyoscine Butylbromide ◽  
Abdominal Mri ◽  
Bowel Motion

scholarly journals Role of Radiotherapy in Recurrent Intra-Abdominal Yolk Sac Tumor

2021 ◽  
pp. 1010-1018
Author(s):  
Marhendra Satria Utama ◽  
Andi Kurniadi ◽  
A.A. Citra Yunda Prahastiwi ◽  
Antony A. Adibrata
Keyword(s):  
Case Reports ◽  
Yolk Sac ◽  
Yolk Sac Tumor ◽  
Appropriate Treatment ◽  
Curative Radiotherapy ◽  
Chief Complaints ◽  
Abdominal Mri ◽  
Malignant Germ Cell Tumor

Yolk sac tumor (YST) is a rare malignant germ cell tumor with no appropriate treatment strategy to date. However, patients are treated on a case-to-case basis as per various case reports that have been published. Here, we present a case of 27-year-old female patient who presented to us with chief complaints of severe abdominal pain associated with leucorrhea. She previously had a similar pain episode, which was then evaluated by a multidisciplinary team. She was diagnosed with YST. After that, she underwent 6 cycles of chemotherapy, but there was no improvement. Then the medical oncologist referred her to performed radiotherapy. Then, the radiation oncologist decided to give her curative radiotherapy of 3D-CRT. After completing her sessions, she felt better and clinically improving. After that, she was discharged and scheduled a follow-up visit for first evaluation. At her follow-up visit, she was feeling well, and we decided to have an abdominal MRI.

scholarly journals Applying MRI Intensity Normalization on Non-Bone Tissues to Facilitate Pseudo-CT Synthesis from MRI

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 816
Author(s):  
Kuei-Yuan Hou ◽  
Hao-Yuan Lu ◽  
Ching-Ching Yang
Keyword(s):  
Mean Value ◽  
Tissue Type ◽  
Routine Practice ◽  
Intensity Level ◽  
Mean Values ◽  
Conversion Model ◽  
Ratio Image ◽  
Abdominal Mri ◽  
High Level ◽  
Intensity Normalization

This study aimed to facilitate pseudo-CT synthesis from MRI by normalizing MRI intensity of the same tissue type to a similar intensity level. MRI intensity normalization was conducted through dividing MRI by a shading map, which is a smoothed ratio image between MRI and a three-intensity mask. Regarding pseudo-CT synthesis from MRI, a conversion model based on a three-layer convolutional neural network was trained and validated. Before MRI intensity normalization, the mean value ± standard deviation of fat tissue in 0.35 T chest MRI was 297 ± 73 (coefficient of variation (CV) = 24.58%), which was 533 ± 91 (CV = 17.07%) in 1.5 T abdominal MRI. The corresponding results were 149 ± 32 (CV = 21.48%) and 148 ± 28 (CV = 18.92%) after intensity normalization. With regards to pseudo-CT synthesis from MRI, the differences in mean values between pseudo-CT and real CT were 3, 15, and 12 HU for soft tissue, fat, and lung/air in 0.35 T chest imaging, respectively, while the corresponding results were 3, 14, and 15 HU in 1.5 T abdominal imaging. Overall, the proposed workflow is reliable in pseudo-CT synthesis from MRI and is more practicable in clinical routine practice compared with deep learning methods, which demand a high level of resources for building a conversion model.

PHYSICS OF THE MIND: OPINION DYNAMICS AND DECISION MAKING PROCESSES BASED ON A BINARY NETWORK MODEL

2008 ◽  
Vol 22 (25n26) ◽  
pp. 4482-4494 ◽  
Author(s):  
F. V. KUSMARTSEV ◽  
KARL E. KÜRTEN
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Chaotic Behavior ◽  
Opinion Dynamics ◽  
Human Mind ◽  
Critical Parameters ◽  
Opinion Formation ◽  
Natural Catastrophes ◽  
Risk Condition ◽  
Binary Network

We propose a new theory of the human mind. The formation of human mind is considered as a collective process of the mutual interaction of people via exchange of opinions and formation of collective decisions. We investigate the associated dynamical processes of the decision making when people are put in different conditions including risk situations in natural catastrophes when the decision must be made very fast or at national elections. We also investigate conditions at which the fast formation of opinion is arising as a result of open discussions or public vote. Under a risk condition the system is very close to chaos and therefore the opinion formation is related to the order disorder transition. We study dramatic changes which may happen with societies which in physical terms may be considered as phase transitions from ordered to chaotic behavior. Our results are applicable to changes which are arising in various social networks as well as in opinion formation arising as a result of open discussions. One focus of this study is the determination of critical parameters, which influence a formation of stable mind, public opinion and where the society is placed “at the edge of chaos”. We show that social networks have both, the necessary stability and the potential for evolutionary improvements or self-destruction. We also show that the time needed for a discussion to take a proper decision depends crucially on the nature of the interactions between the entities as well as on the topology of the social networks.

Limited abdominal MRI in the evaluation of acute right upper quadrant pain

2003 ◽  
Vol 28 (5) ◽  
pp. 643-651 ◽  
Author(s):  
K. Y. Oh ◽  
M. Gilfeather ◽  
A. Kennedy ◽  
C. Glastonbury ◽  
D. Green ◽  
...  
Keyword(s):  
Quadrant Pain ◽  
Abdominal Mri

IRMA study: Prevalence of subdiaphragmatic visceral infarction in ischemic stroke and atrial fibrillation

2016 ◽  
Vol 12 (4) ◽  
pp. 421-424 ◽  
Author(s):  
David Weisenburger-Lile ◽  
Delphine Lopez ◽  
Stephanie Russel ◽  
Jean-Emmanuel Kahn ◽  
Ana Veiga Hellmann ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
High Risk ◽  
Median Time ◽  
Cryptogenic Stroke ◽  
Abdominal Mri ◽  
Frequent Localization

Background Occult atrial fibrillation (AF) may, in part, explain cryptogenic stroke. A 22% prevalence of subdiaphragmatic visceral infarction (SDVI) among patients with ischemic stroke (IS) due to AF has been reported, using abdominal MRI. We sought to assess the reproducibility of this method and to confirm that SDVI is more prevalent in cases of AF-caused IS than in IS of other etiologies. Methods In consecutive patients admitted to our hospital, we compared SDVI prevalence in three groups: patients with IS due to AF (IS+/AF+ group), patients with stroke of another determined cause (IS+/AF− group) and patients with AF without stroke (IS−/AF+ group). Results A total of 111 patients were included. The median time between inclusion and abdominal MRI was six days. SDVI was more frequent in the IS+/AF+ group ( n = 10; 21.3%), than in IS+/AF− ( n = 1; 3.3%) and IS−/AF+ ( n = 0) groups, p = 0.002. The most frequent localization was the kidney. Conclusions The prevalence of SDVI was higher among patients with AF-caused IS. In cases of cryptogenic stroke, a positive abdominal MRI may suggest occult AF as the cause and identify a high risk of AF in this subgroup of patients.

scholarly journals Texture feature based automated seeded region growing in abdominal MRI segmentation

2009 ◽  
Vol 02 (01) ◽  
pp. 1-8 ◽  
Author(s):  
Jie Wu ◽  
Skip Poehlman ◽  
Michael D. Noseworthy ◽  
Markad V. Kamath
Keyword(s):  
Texture Feature ◽  
Region Growing ◽  
Mri Segmentation ◽  
Seeded Region Growing ◽  
Abdominal Mri ◽  
Feature Based
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