Browsing Institutt for sirkulasjon og bildediagnostikk by Title
Now showing items 174-193 of 1934
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Augmenting drug-carrier compatibility improves tumour nanotherapy efficacy
(Journal article; Peer reviewed, 2016)A major goal of cancer nanotherapy is to use nanoparticles as carriers for targeted delivery of anti-tumour agents. The drug–carrier association after intravenous administration is essential for efficient drug delivery to ... -
Autocrine activin A signalling in ovarian cancer cells regulates secretion of interleukin 6, autophagy, and cachexia
(Journal article; Peer reviewed, 2019)Background The majority of patients with advanced cancer develop cachexia, a weight loss syndrome that severely reduces quality of life and limits survival. Our understanding of the underlying mechanisms that cause the ... -
Automated 2-D and 3-D Left Atrial Volume Measurements Using Deep Learning
(Journal article; Peer reviewed, 2023)Objective: Echocardiography, a critical tool for assessing left atrial (LA) volume, often relies on manual or semi-automated measurements. This study introduces a fully automated, real-time method for measuring LA volume ... -
Automated blood glucose control: Development and Testing of an Artificial Endocrine Pancreas Using a Novel Intravascular Glucose Monitor and a New Approach to Insulin Pharmacology
(Doktoravhandlinger ved NTNU, 1503-8181; 2012:275, Doctoral thesis, 2012)This thesis describes the stepwise development and testing of the components of a novel artificial endocrine pancreas, consisting of a continuous glucose monitor, an insulin infusion device and a control algorithm. The ... -
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings
(Peer reviewed; Journal article, 2023)Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular complications. The standard of care for cardiac monitoring performed by trained cardiologists and anesthesiologists involves ... -
Automated Patient-level Prostate Cancer Detection with Quantitative Diffusion Magnetic Resonance Imaging
(Peer reviewed; Journal article, 2023)Background Multiparametric magnetic resonance imaging (mpMRI) improves detection of clinically significant prostate cancer (csPCa), but the subjective Prostate Imaging Reporting and Data System (PI-RADS) system and ... -
Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition
(Peer reviewed; Journal article, 2020)Objectives To develop and evaluate an automated method for prostate T2-weighted (T2W) image normalization using dual-reference (fat and muscle) tissue. Materials and methods Transverse T2W images from the publicly ... -
Automatic analysis in echocardiography using machine learning
(Doctoral theses at NTNU, 2021:230, Doctoral thesis, 2021)Echocardiography is the cornerstone of modern cardiac imaging due to its availability, low cost and real-time functionality. The modality has enabled sophisticated non-invasive evaluation of the hearts morphophysiology, ... -
Automatic assessment of left ventricular function for hemodynamic monitoring using artificial intelligence and transesophageal echocardiography
(Peer reviewed; Journal article, 2024)We have developed a method to automatically assess LV function by measuring mitral annular plane systolic excursion (MAPSE) using artificial intelligence and transesophageal echocardiography (autoMAPSE). Our aim was to ... -
Automatic Detection and Measurement of Fetal Biparietal Diameter and Femur Length — Feasibility on a Portable Ultrasound Device
(Journal article, 2017)An automatic method able to recognize a presented section through the biparietal plane of the fetal head and a section through the fetal femur in ultrasound images is developed. Once the correct anatomical section for ... -
Automatic interpretation of cement evaluation logs from cased boreholes using supervised deep neural networks
(Peer reviewed; Journal article, 2020)The integrity of cement in cased boreholes is typically evaluated using well logging. However, well logging results are complex and can be ambiguous, and decisions associated with significant risks may be taken based on ... -
Automatic Intraoperative Correction of Brain Shift for Accurate Neuronavigation
(Journal article; Peer reviewed, 2018)Background Unreliable neuronavigation owing to inaccurate patient-to-image registration and brain shift is a major problem in conventional magnetic resonance imaging–guided neurosurgery. We performed a prospective ... -
Automatic intraoperative estimation of blood flow direction during neurosurgical interventions
(Journal article; Peer reviewed, 2018)Purpose In neurosurgery, reliable information about blood vessel anatomy and flow direction is important to identify, characterize, and avoid damage to the vasculature. Due to ultrasound Doppler angle dependencies and the ... -
Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases
(Peer reviewed; Journal article, 2023)Aims Echocardiography is a cornerstone in cardiac imaging, and left ventricular (LV) ejection fraction (EF) is a key parameter for patient management. Recent advances in artificial intelligence (AI) have enabled fully ... -
Automatic measurements of mitral annular motion indices
(Doctoral theses at NTNU;2020:4, Doctoral thesis, 2020) -
Automatic measurements of mitral annular plane systolic excursion and velocities to detect left ventricular dysfunction
(Journal article; Peer reviewed, 2018)The purpose of the study described here was to evaluate an automatic algorithm for detection of left ventricular dysfunction, based on measurements of mitral annular motion indices from color tissue Doppler apical four-chamber ... -
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning
(Journal article; Peer reviewed, 2018)Recent studies in the field of deep learning suggest that motion estimation can be treated as a learnable problem. In this paper we propose a pipeline for functional imaging in echocardiography consisting of four central ... -
Automatic quantification of left ventricular function by medical students using ultrasound
(Peer reviewed; Journal article, 2020)Background Automatic analyses of echocardiograms may support inexperienced users in quantifying left ventricular (LV) function. We have developed an algorithm for fully automatic measurements of mitral annular plane ... -
Autophagy signaling in skeletal muscle of infarcted rats
(Journal article; Peer reviewed, 2014)Background: Heart failure (HF)-induced skeletal muscle atrophy is often associated to exercise intolerance and poor prognosis. Better understanding of the molecular mechanisms underlying HF-induced muscle atrophy may ... -
Avdekke, henvise og behandle personer med kronisk hepatitt C som følge av oppsøkende virksomhet
(Master thesis, 2021)Innledning Kronisk Hepatitt C er en virussykdom som kan gi alvorlig leverskade og har høy forekomst blant personer som injiserer rusmidler. Med dagens behandling er det mulig å kurere så godt som alle med kronisk hepatitt ...