Synchronization and Registration of Cine Magnetic Resonance and Dynamic Computed Tomography Images of the Heart.

Abstract:

:The synchronization and registration of dynamic computed tomography (CT) and magnetic resonance images (MRI) of the heart is required to perform a combined analysis of their complementary information. We propose a novel method that synchronizes and registers intrapatient dynamic CT and cine-MRI short axis view (SAX). For the synchronization step, a normalized cross-correlation curve is computed from each image sequence to describe the global cardiac dynamics. The time axes of these curves are then warped using an adapted dynamic time warping (DTW) procedure. The adaptation constrains the time deformation to obtain a coherent warping function. The registration step then computes the rigid transformation that maximizes the multiimage normalized mutual information of DTW-synchronized images. The DTW synchronization and the multiimage registration were evaluated using dynamic CT and cine-SAX acquisitions from nine patients undergoing cardiac resynchronization therapy. The distance between the end-systolic phases after DTW was used to evaluate the synchronization. Mean errors, expressed as a percentage of the RR-intervals, were 3.9% and 3.7% after adapted DTW synchronization against 10.8% and 11.3% after linear synchronization, for dynamic CT and cine-SAX, respectively. This suggests that the adapted DTW synchronization leads to a coherent warping of cardiac dynamics. The multiimage registration was evaluated using fiducial points. Compared to a monoimage and a two-image registration, the multiimage registration of DTW-synchronized images obtained the lowest mean fiducial error showing that the use of dynamic voxel intensity information improves the registration.

authors

Betancur J,Simon A,Langella B,Leclercq C,Hernandez A,Garreau M

doi

10.1109/JBHI.2015.2453639

subject

Has Abstract

pub_date

2016-09-01 00:00:00

pages

1369-76

issue

5

eissn

2168-2194

issn

2168-2208

journal_volume

20

pub_type

杂志文章
  • Sleep Period Time Estimation Based on Electrodermal Activity.

    abstract::We proposed and tested a method to estimate sleep period time (SPT) using electrodermal activity (EDA) signals. Eight healthy subjects and six obstructive sleep apnea patients participated in the experiments. Each subject's EDA signals were measured at the middle and ring fingers of the dominant hand during polysomnog...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2490480

    authors: Hwang SH,Seo S,Yoon HN,Jung DW,Baek HJ,Cho J,Choi JW,Lee YJ,Jeong DU,Park KS

    更新日期:2017-01-01 00:00:00

  • DBN-Extended: A Dynamic Bayesian Network Model Extended With Temporal Abstractions for Coronary Heart Disease Prognosis.

    abstract::Dynamic Bayesian networks (DBNs) are temporal probabilistic graphical models that model temporal events and their causal and temporal dependencies. Temporal abstraction (TA) is a knowledge-based process that abstracts raw temporal data into higher level interval-based concepts. In this paper, we present an extended DB...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2420534

    authors: Orphanou K,Stassopoulou A,Keravnou E

    更新日期:2016-05-01 00:00:00

  • User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing.

    abstract::Spectral Doppler measurements are an important part of the standard echocardiographic examination. These measurements give insight into myocardial motion and blood flow providing clinicians with parameters for diagnostic decision making. Many of these measurements are performed automatically with high accuracy, increa...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.3029392

    authors: Gilbert A,Holden M,Eikvil L,Rakhmail M,Babic A,Aase SA,Samset E,McLeod K

    更新日期:2020-10-07 00:00:00

  • Blind end-member and abundance extraction for multispectral fluorescence lifetime imaging microscopy data.

    abstract::This paper proposes a new blind end-member and abundance extraction (BEAE) method for multispectral fluorescence lifetime imaging microscopy (m-FLIM) data. The chemometrical analysis relies on an iterative estimation of the fluorescence decay end-members and their abundances. The proposed method is based on a linear m...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2279335

    authors: Gutierrez-Navarro O,Campos-Delgado DU,Arce-Santana ER,Mendez MO,Jo JA

    更新日期:2014-03-01 00:00:00

  • A learning scheme for reach to grasp movements: on EMG-based interfaces using task specific motion decoding models.

    abstract::A learning scheme based on random forests is used to discriminate between different reach to grasp movements in 3-D space, based on the myoelectric activity of human muscles of the upper-arm and the forearm. Task specificity for motion decoding is introduced in two different levels: Subspace to move toward and object ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2259594

    authors: Liarokapis MV,Artemiadis PK,Kyriakopoulos KJ,Manolakos ES

    更新日期:2013-09-01 00:00:00

  • Unified Fine-Grained Access Control for Personal Health Records in Cloud Computing.

    abstract::Attribute-based encryption has been a promising encryption technology to secure personal health records (PHRs) sharing in cloud computing. PHRs consist of the patient data often collected from various sources including hospitals and general practice centres. Different patients' access policies have a common access sub...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2018.2850304

    authors: Li W,Liu BM,Liu D,Liu RP,Wang P,Luo S,Ni W

    更新日期:2019-05-01 00:00:00

  • Wireless gigabit data telemetry for large-scale neural recording.

    abstract::Implantable wireless neural recording from a large ensemble of simultaneously acting neurons is a critical component to thoroughly investigate neural interactions and brain dynamics from freely moving animals. Recent researches have shown the feasibility of simultaneously recording from hundreds of neurons and suggest...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2416202

    authors: Kuan YC,Lo YK,Kim Y,Chang MC,Liu W

    更新日期:2015-05-01 00:00:00

  • A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation.

    abstract::Autonomous poststroke rehabilitation systems which can be deployed outside hospital with no or reduced supervision have attracted increasing amount of research attentions due to the high expenditure associated with the current inpatient stroke rehabilitation systems. To realize an autonomous systems, a reliable patien...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2430524

    authors: Zhang Z,Liparulo L,Panella M,Gu X,Fang Q

    更新日期:2016-05-01 00:00:00

  • A New Active Contours Approach for Finger Extensor Tendon Segmentation in Ultrasound Images Using Prior Knowledge and Phase Symmetry.

    abstract::This work proposes a new approach for the segmentation of the extensor tendon in ultrasound images of the second metacarpophalangeal joint (MCPJ). The MCPJ is known to be frequently involved in early stages of rheumatic diseases like rheumatoid arthritis. The early detection and follow up of these diseases is importan...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2017.2723819

    authors: Martins N,Sultan S,Veiga D,Ferreira M,Teixeira F,Coimbra M,Martins N,Sultan S,Veiga D,Ferreira M,Teixeira F,Coimbra M

    更新日期:2018-07-01 00:00:00

  • A MDP model for breast and ovarian cancer intervention strategies for BRCA1/2 mutation carriers.

    abstract:PURPOSE:Women with BRCA1/2 mutations have higher risk for breast and ovarian cancers. Available intervention actions include prophylactic surgeries and breast screening, which vary significantly in cost, cancer prevention, and in resulting death from other causes. We present a model designed to yield optimal interventi...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2014.2319246

    authors: Abdollahian M,Das TK

    更新日期:2015-03-01 00:00:00

  • Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images.

    abstract::The direct analysis of 3D Optical Coherence Tomography (OCT) volumes enables deep learning models (DL) to learn spatial structural information and discover new bio-markers that are relevant to glaucoma. Downsampling 3D input volumes is the state-of-art solution to accommodate for the limited number of training volumes...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.3001019

    authors: George Y,Antony BJ,Ishikawa H,Wollstein G,Schuman JS,Garnavi R

    更新日期:2020-12-01 00:00:00

  • Segmentation and Measurement of Chronic Wounds for Bioprinting.

    abstract:OBJECTIVE:to provide a proof-of-concept tool for segmenting chronic wounds and transmitting the results as instructions and coordinates to a bioprinter robot and thus facilitate the treatment of chronic wounds. METHODS:several segmentation methods used for measuring wound geometry, including edge-detection and morphol...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2017.2743526

    authors: Gholami P,Ahmadi-Pajouh MA,Abolftahi N,Hamarneh G,Kayvanrad M,Gholami P,Ahmadi-Pajouh MA,Abolftahi N,Hamarneh G,Kayvanrad M

    更新日期:2018-07-01 00:00:00

  • Delineation of Electrocardiograms Using Multiscale Parameter Estimation.

    abstract::The continuing interest in unobtrusive electrocardiography requires the development of algorithms, compensating for an increased number of artifacts. In previous work, we proposed a framework for robust parameter estimation of signals following a piecewise Gaussian derivative model, well suited for describing all wave...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2019.2963786

    authors: Spicher N,Kukuk M

    更新日期:2020-08-01 00:00:00

  • Exploring early glaucoma and the visual field test: classification and clustering using Bayesian networks.

    abstract::Bayesian networks (BNs) are probabilistic models used for classification and clustering in several fields. Their ability to deal with unobserved variables and to integrate data and expert knowledge make them an appropriate technique for modeling eye functionality measurements in glaucoma. In this study, a set of BNs i...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2289367

    authors: Ceccon S,Garway-Heath DF,Crabb DP,Tucker A

    更新日期:2014-05-01 00:00:00

  • Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier.

    abstract::The computer-aided diagnosis for histopathological images has attracted considerable attention. Principal component analysis network (PCANet) is a novel deep learning algorithm for feature learning with the simple network architecture and parameters. In this study, a color pattern random binary hashing-based PCANet (C...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2016.2602823

    authors: Shi J,Wu J,Li Y,Zhang Q,Ying S

    更新日期:2017-09-01 00:00:00

  • Statistical Metamodeling and Sequential Design of Computer Experiments to Model Glyco-Altered Gating of Sodium Channels in Cardiac Myocytes.

    abstract::Glycan structures account for up to 35% of the mass of cardiac sodium ( Nav ) channels. To question whether and how reduced sialylation affects Nav activity and cardiac electrical signaling, we conducted a series of in vitro experiments on ventricular apex myocytes under two different glycosylation conditions, reduced...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2458791

    authors: Du D,Yang H,Ednie AR,Bennett ES

    更新日期:2016-09-01 00:00:00

  • Maximizing Spectral Efficiency for Energy Harvesting-Aware WBAN.

    abstract::In this paper, we investigate the spectral efficiency of a communication link in a wireless body area network (WBAN) capable of harvesting energy from the environment. We consider two scenarios for the transmission which are single- and dual-hop and achieve the power management policy for each scenario. In the first s...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2016.2536642

    authors: Mosavat-Jahromi H,Maham B,Tsiftsis TA

    更新日期:2017-05-01 00:00:00

  • Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis.

    abstract::Gait impairment in multiple sclerosis (MS) can result from muscle weakness, physical fatigue, lack of coordination, and other symptoms. Walking speed, as measured by a number of clinician-administered walking tests, is the primary measure of gait impairment used by clinical researchers, but inertial gait features from...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2017.2773629

    authors: Dandu SR,Engelhard MM,Qureshi A,Gong J,Lach JC,Brandt-Pearce M,Goldman MD

    更新日期:2018-01-01 00:00:00

  • Designing a robust activity recognition framework for health and exergaming using wearable sensors.

    abstract::Detecting human activity independent of intensity is essential in many applications, primarily in calculating metabolic equivalent rates and extracting human context awareness. Many classifiers that train on an activity at a subset of intensity levels fail to recognize the same activity at other intensity levels. This...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2287504

    authors: Alshurafa N,Xu W,Liu JJ,Huang MC,Mortazavi B,Roberts CK,Sarrafzadeh M

    更新日期:2014-09-01 00:00:00

  • An Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction.

    abstract::Adverse drug-drug interaction (ADDI) becomes a significant threat to public health. Despite the detection of ADDIs is experimentally implemented in the early development phase of drug design, many potential ADDIs are still clinically explored by accidents, leading to a large number of morbidity and mortality. Several ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.3048059

    authors: Zhu J,Liu Y,Zhang Y,Li D

    更新日期:2020-12-29 00:00:00

  • Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

    abstract::Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagnosis of COVID-19 is crucial both for disease control and patient care. Non-contrast thoracic computed tomography (CT) has been identified as an effective tool for the diagnosis, yet the disease outbreak has placed tremen...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.3018181

    authors: Li Y,Wei D,Chen J,Cao S,Zhou H,Zhu Y,Wu J,Lan L,Sun W,Qian T,Ma K,Xu H,Zheng Y

    更新日期:2020-10-01 00:00:00

  • The single equivalent moving dipole model does not require spatial anatomical information to determine cardiac sources of activation.

    abstract::Radio-frequency catheter ablation (RCA) is an established treatment for ventricular tachycardia (VT). A key feature of the RCA procedure is the need for a mapping approach that facilitates the identification of the target ablation site. In this study, we investigate the effect of the location of the reference potentia...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2013.2268012

    authors: Sohn K,Lv W,Lee K,Galea AM,Hirschman GB,Hayward AM,Cohen RJ,Armoundas AA

    更新日期:2014-01-01 00:00:00

  • A decision-support framework for promoting independent living and ageing well.

    abstract::Artificial intelligence and decision support systems offer a plethora of health monitoring capabilities in ambient assisted living environment. Continuous assessment of health indicators for elderly people living on their own is of utmost importance, so as to prolong their independence and quality of life. Slow varyin...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2014.2336757

    authors: Billis AS,Papageorgiou EI,Frantzidis CA,Tsatali MS,Tsolaki AC,Bamidis PD

    更新日期:2015-01-01 00:00:00

  • Three-Dimensional Needle Shape Estimation in TRUS-Guided Prostate Brachytherapy Using 2-D Ultrasound Images.

    abstract::In this paper, we propose an automated method to reconstruct the three-dimensional (3-D) needle shape during needle insertion procedures using only 2-D transverse ultrasound (US) images. Using a set of transverse US images, image processing and random sample consensus are used to locate the needle within each image an...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2477829

    authors: Waine M,Rossa C,Sloboda R,Usmani N,Tavakoli M

    更新日期:2016-11-01 00:00:00

  • Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data.

    abstract::Sepsis is defined by life-threatening organ dysfunction during infection and is one of the leading causes of critical illness. During sepsis, there is high risk that new-onset of atrial fibrillation (AF) can occur, which is associated with significant morbidity and mortality. As a result, computer aided automated and ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.2995139

    authors: Bashar SK,Hossain MB,Ding E,Walkey AJ,McManus DD,Chon KH

    更新日期:2020-11-01 00:00:00

  • Screening For Depression With Retrospectively Harvested Private Versus Public Text.

    abstract::Depression is the leading cause of disability, often undiagnosed, and one of the most treatable mood disorders. As such, unobtrusively diagnosing depression is important. Many studies are starting to utilize machine learning for depression sensing from social media and Smartphone data to replace the survey instruments...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.2983035

    authors: Tlachac ML,Rundensteiner E

    更新日期:2020-11-01 00:00:00

  • User independent estimations of gait events with minimal sensor data.

    abstract:GOAL:The purpose of this study was to provide an initial examination of the utility of the Beta Process - Auto Regressive - Hidden Markov Model (BP-AR-HMM) for the prior identification of gait events. A secondary objective was to determine whether the output of the model could be used for classification and prediction ...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2020.3028827

    authors: Donahue S,Jin L,Hahn M

    更新日期:2020-10-05 00:00:00

  • A method of detecting heartbeat locations in the ballistocardiographic signal from the fiber-optic vital signs sensor.

    abstract::We present a flexible, easy-to-expand digital signal processing method for detecting heart rate (HR) for cardiac vibration signals of fiber Bragg grating (FBG) sensor. The FBG-based method of measuring HR is possible to use during the magnetic resonance imaging procedure, which is its unique advantage. Our goal was to...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2015.2392796

    authors: Krej M,Dziuda L,Skibniewski FW

    更新日期:2015-07-01 00:00:00

  • Predicting Mood Changes in Bipolar Disorder through Heartbeat Nonlinear Dynamics.

    abstract::Bipolar Disorder (BD) is characterized by an alternation of mood states from depression to (hypo)mania. Mixed states, i.e., a combination of depression and mania symptoms at the same time, can also be present. The diagnosis of this disorder in the current clinical practice is based only on subjective interviews and qu...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2016.2554546

    authors: Valenza G,Nardelli M,Lanata' A,Gentili C,Bertschy G,Kosel M,Scilingo EP

    更新日期:2016-07-01 00:00:00

  • Delta Features From Ambient Sensor Data are Good Predictors of Change in Functional Health.

    abstract::Sensor systems can be deployed in the homes of older adults living alone for functional health assessments. Their information is very useful for health care specialists. The problem lies in developing person independent models while facing a large variability in behavior. We address this problem by, first, proposing a...

    journal_title:IEEE journal of biomedical and health informatics

    pub_type: 杂志文章

    doi:10.1109/JBHI.2016.2593980

    authors: Robben S,Englebienne G,Krose B

    更新日期:2017-07-01 00:00:00