A5060376466- AI in cancer detection
- Medical Imaging Techniques and Applications
- Digital Radiography and Breast Imaging
- Medical Image Segmentation Techniques
- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Anatomy and Medical Technology
- 3D Shape Modeling and Analysis
- Cancer Risks and Factors
- Advanced X-ray and CT Imaging
- Retinal Diseases and Treatments
- Global Cancer Incidence and Screening
- Retinal Imaging and Analysis
- Retinal and Optic Conditions
- Medical Imaging and Analysis
- Elasticity and Material Modeling
- Glaucoma and retinal disorders
- Health, Environment, Cognitive Aging
- Digital Imaging in Medicine
- Cellular Mechanics and Interactions
- Cerebrovascular and Carotid Artery Diseases
- Breast Cancer Treatment Studies
- 3D Surveying and Cultural Heritage
University College London
2013-2024
Canon (United Kingdom)
2024
Toshiba (United Kingdom)
2023
Women's Hospital
2023
University of Michigan–Ann Arbor
2023
Bellingham Technical College
2016
Institute of Cancer Research
2011
Buckinghamshire Healthcare NHS Trust
2011
Centre International de Recherche sur le Cancer
2011
University of Aberdeen
1995-2003
The hybrid magnetic resonance (MR)/X-ray suite (XMR) is a recently introduced imaging solution that provides new possibilities for guidance of cardiovascular catheterization procedures. We have previously described and validated technique based on optical tracking to register MR X-ray images obtained from the sliding table XMR configuration. aim our recent work was extend by providing an improved calibration stage, real-time during procedures, further off-line analysis mapping cardiac...
SUMMARY Aims To develop a technique to detect microaneurysms automatically in 50° digital red‐free fundus photographs and evaluate its performance as tool for screening diabetic patients retinopathy. Methods Candidate are extracted, after the image has been modified remove variations background intensity, by algorithms that enhance small round features. Each microaneurysm candidate is then classified according intensity size application of set rules derived from training 102 images. Results...
To compare the respective performances of digital retinal imaging, fundus photography and slit-lamp biomicroscopy performed by trained optometrists, in screening for diabetic retinopathy. assess potential contribution automated image analysis to a programme.A group 586 patients recruited from clinic underwent three or four mydriatic methods examination. The imaging (n=586; graded manually), colour slides examination specially optometrists (n=485), were evaluated against reference standard...
We propose a new method for aligning three-dimensional (3-D) magnetic resonance angiography (MRA) with 2-D X-ray digital subtraction angiograms (DSA). Our is developed from our algorithm to register computed tomography volumes images based on intensity matching of digitally reconstructed radiographs (DRRs). To make the DSA and DRR more similar, we transform MRA vasculature set zero contralateral side that imaged DSA. initialize search match user defined circular region interest. have tested...
Physically realistic simulations for large breast deformation are of great interest many medical applications such as cancer diagnosis, image registration, surgical planning and image-guided surgery. To support fast, breasts in clinical settings, we proposed a patient-specific biomechanical modelling framework breasts, based on an open-source graphics processing unit-based, explicit, dynamic, nonlinear finite element (FE) solver. A semi-automatic segmentation method tissue classification,...
Objective: The tumor microenvironment plays a crucial role in regulating progression by number of different mechanisms, particular, the remodeling collagen fibers tumor-associated stroma, which has been reported to be related patient survival. underlying motivation this work is that gives rise observable patterns hematoxylin and eosin (H&E) stained slides from clinical cases invasive breast carcinoma pathologist can label as mature or immature stroma. aim paper categorise automatically...
NiftySim, an open-source finite element toolkit, has been designed to allow incorporation of high-performance soft tissue simulation capabilities into biomedical applications. The toolkit provides the option execution on fast graphics processing unit (GPU) hardware, numerous constitutive models and solid-element options, membrane shell elements, contact modelling facilities, in a simple use library. is founded total Lagrangian explicit dynamics (TLEDs) algorithm, which shown be efficient...
Preoperative diagnostic magnetic resonance (MR) breast images can provide good contrast between different tissues and 3-D information about suspicious tissues. Aligning preoperative MR with a patient in the theatre during conserving surgery could assist surgeons achieving complete excision of cancer sufficient margins. Typically, are obtained prone position, while is performed supine position. The significant shape change breasts these two positions due to gravity loading, external forces...
We describe a registration and tracking technique to integrate cardiac X-ray images magnetic resonance (MR) acquired from combined MR interventional suite (XMR). Optical is used determine the transformation matrices relating image coordinates coordinates. Calibration of projection geometry C-arm table enable three-dimensional (3-D) reconstruction vessel centerlines catheters bi-plane views. can, therefore, combine single with registered volume acquisition, we can also display 3-D...
Surgical treatment for early-stage breast carcinoma primarily necessitates conserving therapy (BCT), where the tumour is removed while preserving shape. To date, there have been very few attempts to develop accurate and efficient computational tools that could be used in clinical environment pre-operative planning oncoplastic surgery assessment. Moreover, from cancer research perspective, has little effort model complex mechano-biological processes involved wound healing. We address this by...
Two-dimensional (2-D)-to-three-dimensional (3-D) registration can improve visualization which may aid minimally invasive neurointerventions. Using clinical and phantom studies, two state-of-the-art approaches to rigid are compared quantitatively: an intensity-based algorithm using the gradient difference similarity measure; iterative closest point (ICP)-based algorithm. The approach was found be more accurate, with average accuracy of 1.7 mm for data, ICP-based 2.8 mm. In proved reliable,...
Abstract Background: Mammographic density (MD) is a strong marker of breast cancer risk, but it unclear whether tumors arise specifically within dense tissue. Methods: In 231 British women diagnosed with after at least one negative annual screening during mammographic trial, we assessed tumor location was related to localized MD 5 years prior diagnosis. Radiologists identified locations on digitised films. We used validated algorithm align serial images from the same woman locate...
Determining corresponding regions between an MRI and X-ray mammogram is a clinically useful task that challenging for radiologists due to the large deformation breast undergoes two image acquisitions. In this work we propose intensity-based registration framework, where biomechanical transformation model parameters rigid-body are optimised simultaneously. Patient-specific modelling of derived from diagnostic, prone has been previously used task. However, high computational time associated...
A dynamic-contrast-enhanced magnetic resonance imaging (DCE-MRI) dataset consists of many frames, often acquired both before and after contrast injection. Due to the length time spent acquiring images, patient motion is likely image re-alignment or registration required further analysis such as pharmacokinetic model fitting. Non-rigid procedures may be used correct artefacts; however, a careful choice strategy reduce misregistration artefacts associated with enhancing features. This work...
The diffusion signal in breast tissue has primarily been modelled using apparent coefficient (ADC), intravoxel incoherent motion (IVIM) and tensor (DT) models, which may be too simplistic to describe the underlying microstructure. Formalin‐fixed cancer samples were scanned a wide range of gradient strengths, durations, separations orientations. A variety one‐ two‐compartment models tested determine best described data. Models with restricted components anisotropy selected most cancerous...
An investigation was carried out to compare the image quality of ocular fundus obtained clinically, photographically, and with scanning laser ophthalmoscope (SLO) at visible infrared wavelengths in patients significant cataract.Nineteen admitted for routine cataract extraction were examined clinically by two independent observers ascertain type clarity view an indirect ophthalmoscope. Fundus photography both confocal direct (non-confocal) SLO imaging 590 nm, 670 830 nm after pupillary...
A method to accurately measure the position and orientation of an acetabular cup implant from postoperative X-rays has been designed validated. The uses 2-D-3-D registration align both prosthesis preoperative computed tomography (CT) volume X-ray image. This allows be calculated with respect a CT-based surgical plan. Experiments have carried out using ten sets patient data. conventional plain-film measurement technique was also investigated. gold standard CT. Results show our significantly...
In breast conserving surgery clinicians may benefit from information preoperative images (e.g. high quality dynamic contrast enhanced magnetic resonant image obtained in the prone position), by registering them to supine patient on operating table theatre. Due large deformation involved between and supine, either non-rigid intensity-based mage registration methods or biomechanical model based alone have limited success. this paper, we proposed a hybrid finite element method (FEM) combining...
The female breast undergoes large scale deformations, when the patient position is changed from prone where imaging usually performed to supine position, which standard surgical setting. To guide procedure, MRI data need be aligned between these two positions. Image registration techniques are purely intensity based fail, and image aligned. address this we use specific biomechanical models provide an initial deformation of prior registration. In contrast previous methods, estimate...
To compare two methods of automatic breast segmentation with each other and manual in a large subject cohort. discuss the factors involved selecting most appropriate algorithm for and, particular, to investigate appropriateness overlap measures (e.g., Dice Jaccard coefficients) as primary determinant selection.
Prone-to-supine breast image registration has potential application in the fields of surgical and radiotherapy planning, guided interventions, multi-modal cancer diagnosis, staging, therapy response prediction. However, three dimensional images acquired different patient positions is a challenging problem, due to large deformations induced soft tissue caused by change gravity loading. We present symmetric, biomechanical simulation based framework which aligns central, virtually unloaded...