Publications
1026 results found
Boardman JP, Craven C, Valappil S, et al., 2009, A COMMON MORPHOLOGICAL PHENOTYPE FOR PRETERM BRAIN INJURY WITH ADVERSE NEURODEVELOPMENTAL OUTCOME
Ball G, Boardman JP, Anjari M, et al., 2009, THE EFFECT OF CHRONIC LUNG DISEASE ON WHITE MATTER ANISOTROPY IN PRETERM INFANTS
Jiang S, Xue H, Counsell S, et al., 2009, Diffusion Tensor Imaging (DTI) of the Brain in Moving Subjects: Application to In-Utero Fetal and Ex-Utero Studies, MAGNETIC RESONANCE IN MEDICINE, Vol: 62, Pages: 645-655, ISSN: 0740-3194
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- Citations: 70
Aljabar P, Heckemann RA, Hammers A, et al., 2009, Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy, NEUROIMAGE, Vol: 46, Pages: 726-738, ISSN: 1053-8119
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- Citations: 668
Klein A, Andersson J, Ardekani BA, et al., 2009, Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration, NEUROIMAGE, Vol: 46, Pages: 786-802, ISSN: 1053-8119
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- Citations: 1584
Karima R, Mohiaddin R, Rueckert D, 2009, Left atrium pulmonary veins: segmentation and quantification for planning atrial fibrillation ablation, ISSN: 1605-7422
The paper presents a technique for detecting detecting left atrium as well as the pulmonary veins of the left atrium by tracing out their centerlines. A vessel detection and traversal process is initiated from the venoatrial junctions. Pulmonary veins draining into the left atrium via these junctions are thus detected, also enabling the detection of the ostium. Ostial diameters are measured from the detected centerlines using a best-fitting ellipse. Quantitative validation of the techniques are reported on nine patient datasets. In only two of the datasets, mis-detections were identified. The ostial diameter measurements indicated an error of at most 5% in most of the cases. We envisage that the techniques presented will facilitate in planning the non-pharmacological treatment of atrial fibrillation using radio-frequency ablation therapy. © 2009 SPIE.
Fig M, Rueckert D, Edwards E, 2009, Photo-consistency registration of a 4D cardiac motion model to endoscopic video for image guidance of robotic coronary artery bypass, ISSN: 1605-7422
The aim of the work described in this paper is registration of a 4D preoperative motion model of the heart to the video view of the patient through the intraoperative endoscope. The heart motion is cyclical and can be modelled using multiple reconstructions of cardiac gated coronary CT.We propose the use of photoconsistency between the two views through the da Vinci endoscope to align to the preoperative heart surface model from CT. The temporal alignment from the video to the CT model could in principle be obtained from the ECG signal. We propose averaging of the photoconsistency over the cardiac cycle to improve the registration compared to a single view. Though there is considerable motion of the heart, after correct temporal alignment we suggest that the remaining motion should be close to rigid. Results are presented for simulated renderings and for real video of a beating heart phantom. We found much smoother sections at the minimum when using multiple phases for the registration, furthermore convergence was found to be better when more phases are used. © 2009 SPIE.
Maheswaran S, Barjat H, Rueckert D, et al., 2009, Longitudinal regional brain volume changes quantified in normal aging and Alzheimer's APP x PS1 mice using MRI, BRAIN RESEARCH, Vol: 1270, Pages: 19-32, ISSN: 0006-8993
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- Citations: 77
Keihaninejad S, Heckemann RA, Gousias IS, et al., 2009, Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan, SPIE Medical Imaging
Maheswaran S, Barjat H, Bate ST, et al., 2009, Analysis of serial magnetic resonance images of mouse brains using image registration, NEUROIMAGE, Vol: 44, Pages: 692-700, ISSN: 1053-8119
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- Citations: 24
Tsoi KH, Rueckert D, Ho CH, et al., 2009, RECONFIGURABLE ACCELERATION OF 3D IMAGE REGISTRATION, 5th Southern Conference on Programmable Logic, Publisher: IEEE, Pages: 95-100
Murgasova M, Rueckert D, Edwards D, et al., 2009, ROBUST SEGMENTATION OF BRAIN STRUCTURES IN MRI, IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Publisher: IEEE, Pages: 17-+, ISSN: 1945-7928
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- Citations: 4
Lotjonen J, Koikkalainen J, Thurfjell L, et al., 2009, ATLAS-BASED REGISTRATION PARAMETERS IN SEGMENTING SUB-CORTICAL REGIONS FROM BRAIN MRI-IMAGES, IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Publisher: IEEE, Pages: 21-+, ISSN: 1945-7928
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- Citations: 4
Zhang H, Yushkevich PA, Rueckert D, et al., 2009, Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter, 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2009), Publisher: SPRINGER-VERLAG BERLIN, Pages: 464-473, ISSN: 0302-9743
Heckemann RA, Hammers A, Aljabar P, et al., 2009, THE MIRROR METHOD OF ASSESSING SEGMENTATION QUALITY IN ATLAS LABEL PROPAGATION, IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Publisher: IEEE, Pages: 1194-+, ISSN: 1945-7928
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- Citations: 4
Karim R, Rueckert D, Mohiaddin R, et al., 2009, AUTOMATIC EXTRACTION OF THE LEFT ATRIAL ANATOMY FROM MR FOR ATRIAL FIBRILLATION ABLATION, IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Publisher: IEEE, Pages: 502-+, ISSN: 1945-7928
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- Citations: 1
Mountney P, Giannarou S, Elson D, et al., 2009, Optical Biopsy Mapping for Minimally Invasive Cancer Screening, Pages: 483-490
Hu M, Penney GP, Rueckert D, et al., 2009, Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery, 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2009), Publisher: SPRINGER-VERLAG BERLIN, Pages: 34-+, ISSN: 0302-9743
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- Citations: 18
Wolz R, Aljabar P, Rueckert D, et al., 2009, SEGMENTATION OF SUBCORTICAL STRUCTURES AND THE HIPPOCAMPUS IN BRAIN MRI USING GRAPH-CUTS AND SUBJECT-SPECIFIC A-PRIORI INFORMATION, IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Publisher: IEEE, Pages: 470-+, ISSN: 1945-7928
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- Citations: 15
Aljabar P, Rueckert D, Crum WR, 2008, Automated morphological analysis of magnetic resonance brain imaging using spectral analysis, NEUROIMAGE, Vol: 43, Pages: 225-235, ISSN: 1053-8119
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- Citations: 26
Heckemann RA, Hammers A, Rueckert D, et al., 2008, Automatic volumetry on MR brain images can support diagnostic decision making., BMC Med Imaging, Vol: 8
BACKGROUND: Diagnostic decisions in clinical imaging currently rely almost exclusively on visual image interpretation. This can lead to uncertainty, for example in dementia disease, where some of the changes resemble those of normal ageing. We hypothesized that extracting volumetric data from patients' MR brain images, relating them to reference data and presenting the results as a colour overlay on the grey scale data would aid diagnostic readers in classifying dementia disease versus normal ageing. METHODS: A proof-of-concept forced-choice reader study was designed using MR brain images from 36 subjects. Images were segmented into 43 regions using an automatic atlas registration-based label propagation procedure. Seven subjects had clinically probable AD, the remaining 29 of a similar age range were used as controls. Seven of the control subject data sets were selected at random to be presented along with the seven AD datasets to two readers, who were blinded to all clinical and demographic information except age and gender. Readers were asked to review the grey scale MR images and to record their choice of diagnosis (AD or non-AD) along with their confidence in this decision. Afterwards, readers were given the option to switch on a false-colour overlay representing the relative size of the segmented structures. Colorization was based on the size rank of the test subject when compared with a reference group consisting of the 22 control subjects who were not used as review subjects. The readers were then asked to record whether and how the additional information had an impact on their diagnostic confidence. RESULTS: The size rank colour overlays were useful in 18 of 28 diagnoses, as determined by their impact on readers' diagnostic confidence. A not useful result was found in 6 of 28 cases. The impact of the additional information on diagnostic confidence was significant (p < 0.02). CONCLUSION: Volumetric anatomical information extracted from brain images using
Gousias IS, Rueckert D, Heckemann RA, et al., 2008, Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest, NEUROIMAGE, Vol: 40, Pages: 672-684, ISSN: 1053-8119
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- Citations: 241
Jarvis SA, Foley BP, Isitt PJ, et al., 2008, Performance prediction for a code with data-dependent runtimes, 4th UK e-Science All Hands Meeting (AHM 2005)
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- Citations: 1
Rao A, Aljabar P, Rueckert D, 2008, Hierarchical statistical shape analysis and prediction of sub-cortical brain structures, Medical Image Analysis
Yang YM, Rueckert D, Bull AMJ, 2008, Predicting the shapes of bones at a joint: Application to the shoulder, COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, Vol: 11, Pages: 19-30, ISSN: 1025-5842
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- Citations: 34
Aljabar P, Bhatia KK, Murgasov M, et al., 2008, Assessment of brain growth in early childhood using deformation-based morphometry, NEUROIMAGE, Vol: 39, Pages: 348-358, ISSN: 1053-8119
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- Citations: 47
Pratt P, Bello F, Edwards E, et al., 2008, Interactive finite element simulation of the beating heart for image-guided robotic cardiac surgery, 16th Conference on Medicine Meets Virtual Reality, Publisher: I O S PRESS, Pages: 378-383, ISSN: 0926-9630
Mei L, Figl M, Darzi A, et al., 2008, Sample Sufficiency and PCA Dimension for Statistical Shape Models, 10th European Conference on Computer Vision (ECCV 2008), Publisher: SPRINGER-VERLAG BERLIN, Pages: 492-503, ISSN: 0302-9743
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- Citations: 7
Ericsson A, Aljabar P, Rueckert D, 2008, Construction of a patient-specific atlas of the brain: Application to normal aging, 5th IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Publisher: IEEE, Pages: 480-483
Mei L, Figl M, Rucckert D, et al., 2008, Sample Sufficiency and Number of Modes to Retain in Statistical Shape Modelling, 11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2008), Publisher: SPRINGER-VERLAG BERLIN, Pages: 425-433, ISSN: 0302-9743
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- Citations: 4
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