Liver Extraction Using Residual Convolution Neural Networks From Low-Dose CT Images

This study aims to extract a liver model from LDCT images for facilitating medical expert in surgical planning and post-operative assessment along with low radiation risk to the patient. Our method carried out liver extraction by employing residual convolutional neural networks (LER-CN), which is further refined by noise removal and structure preservation components. After patch-based training, our LER-CN shows a competitive performance relative to state-of-the-art methods for both clinical and publicly available MICCAI Sliver07 datasets. We have proposed training and learning algorithms for LER-CN based on back propagation gradient descent. We have evaluated our method on 150 abdominal CT scans for liver extraction. LER-CN achieves dice similarity coefficient up to 96.5$pm text{1.8}%$, decreased volumetric overlap error up to 4.30$pm text{0.58}%$, and average symmetric surface distance less than 1.4 $pm text{0.5mm}$. These findings have shown that LER-CN is a favorable method for medical applications with high efficiency allowing low radiation risk to patients.
Source: IEEE Transactions on Biomedical Engineering - Category: Biomedical Engineering Source Type: research

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In this study, we developed a programmed electrospun 3D NF collector. It can precisely control the moving speed of NF collector during electrospinning; thereby fabricating 3D NFs with desired microstructures (pore size, pore volume, and interconnectivity). Four types of polycaprolactone (PCL) 3D NF matrices with different microstructures can be obtained concurrently on the NF collector surface, which are set by different forward moving speed of the NF collector device: NF-zero (no move, as control), NF-low (0.085 mm/min), NF-mid (0.158 mm/min) and NF-high (0.232 mm/min). A linear increase of the NF sheet thickness (f...
Source: Materials Science and Engineering: C - Category: Materials Science Source Type: research
Publication date: Available online 13 September 2019Source: Journal of ColoproctologyAuthor(s): Jagan Balu, Sankar Subramanian, Suresh P, Shankar Narayanan AP, Amamndeep Sing SandhuAbstractHere we describe an infrequent case of gastrointestinal stromal tumor of the rectum in a 57 year-old man with spindle cell neoplasm probably gastrointestinal stromal tumor and CT scan showed tumor from the anterior rectal wall and offered abdominoperineal resection for the same. The patient was started on imatinib and had a significant reduction in symptoms. The patient was reassessed with the CT scan, which showed a reduction in tumor s...
Source: Journal of Coloproctology - Category: Gastroenterology Source Type: research
ConclusionsTransferred patients with subarachnoid haemorrhage had lower survival rates. Septic shock and hypernatraemia were important complications among critically ill patients with subarachnoid haemorrhage and were associated increased mortality.ResumoJustificativa e objetivosA hemorragia subaracnoidea é uma causa importante de morbidade e mortalidade. O objetivo do estudo foi determinar os preditivos de mortalidade entre os pacientes com hemorragia subaracnoidea internados em uma Unidade de Terapia Intensiva.MétodosEstudo retrospectivo de pacientes com hemorragia subaracnoidea internados na Unidade de Ter...
Source: Brazilian Journal of Anesthesiology - Category: Anesthesiology Source Type: research
Conclusion The diagnostic ability of FDG-PET/CT for RPLN metastasis was superior to CT and MRI. FDG-PET/CT is considered a useful tool for the diagnosis of RPLN in patients with oral cancer.
Source: Nuclear Medicine Communications - Category: Nuclear Medicine Tags: Original Articles Source Type: research
Objective To evaluate metabolic and volume-based parameters of 18-Fluorodeoxyglucose positron emission tomography/computed tomography ((18F)FDG PET/CT) for primary mass and axillary lymph node (ALN) metastasis in relation to molecular subtype, and immunohistochemistry and inflammatory markers in patients with invasive ductal carcinoma. Methods A total of 129 patients (mean±SD age: 49.2±13.0 years) with invasive ductal breast cancer who had (18F)FDG PET/CT imaging prior to chemotherapy or surgery were included in this single-center retrospective study. Data on patient age, molecular subtype, ALN metastasi...
Source: Nuclear Medicine Communications - Category: Nuclear Medicine Tags: Original Articles Source Type: research
Conclusion The use of new semiquantitative PET parameters may increase the diagnostic yield of FDG PET in the case of abnormal incidental 18F-FDG accumulations.
Source: Nuclear Medicine Communications - Category: Nuclear Medicine Tags: Original Articles Source Type: research
Conclusion Cardiac involvement is a rare and hitherto less well-studied occurrence in neuroendocrine tumours, with an incidence in the range of 1%. To assess the possible prognostic implications, further detailed multicentre studies are required.
Source: Nuclear Medicine Communications - Category: Nuclear Medicine Tags: BNMS Communication Source Type: research
No abstract available
Source: Nuclear Medicine Communications - Category: Nuclear Medicine Tags: Letters to the Editor Source Type: research
Objectives Studies investigating the age-related impact on dopamine transporter binding have previously omitted the use of attenuation correction by computed tomography (CT). We aimed to explore the impact of age and gender on dopamine transporter binding on [123I]Ioflupane single photon emission CT (SPECT) imaging with simultaneously acquired CT. Methods Three hundred forty-two patients with clinically uncertain parkinsonian syndrome underwent [123I]-Ioflupane SPECT/CT with CT-based attenuation correction. Two nuclear medicine physicians independently performed a visual evaluation of all scans and only visibly normal...
Source: Nuclear Medicine Communications - Category: Nuclear Medicine Tags: Original Articles Source Type: research
ConclusionThe algorithm provides a new method to detect and identify vertebral bodies from arbitrary field-of-view body CT scans.
Source: La Radiologia Medica - Category: Radiology Source Type: research
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