Casper da Costa-Luis

Casper da Costa-Luis
University College London | UCL · Centre for Medical Image Computing

Research software engineering & consultancy

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16
Publications
4,215
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207
Citations

Publications

Publications (16)
Article
Purpose: A novel phantom-imaging platform, a set of software tools, for automated and high precision imaging of the American College of Radiology (ACR) PET phantom for PET/MR and PET/CT systems is proposed. Methods: The key feature of this platform is the vector graphics design which facilitates the automated measurement of the knife-edge respon...
Article
Full-text available
SIRF is a powerful PET/MR image reconstruction research tool for processing data and developing new algorithms. In this research, new developments to SIRF are presented, with focus on motion estimation and correction. SIRF’s recent inclusion of the adjoint of the resampling operator allows gradient propagation through resampling, enabling the MCIR...
Article
Full-text available
Accurate regional brain quantitative PET measurements, particularly when using partial volume correction, rely on robust image registration between PET and MR images. We argue here that the precision, and hence the uncertainty, of MR-PET image registration is mainly driven by the registration implementation and the quality of PET images due to thei...
Code
Unifying Python/C++/CUDA memory: Python buffered array <-> C++11 ``std::vector`` <-> CUDA managed memory.
Article
Full-text available
This article reviews the use of a sub-discipline of artificial intelligence (AI), deep learning, for the reconstruction of images in positron emission tomography (PET). Deep learning can be used either directly or as a component of conventional reconstruction, in order to reconstruct images from noisy PET data. The review starts with an overview of...
Article
Full-text available
Noise suppression is particularly important in low count PET imaging. Post smoothing (PS) and regularisation methods which aim to reduce noise also tend to reduce resolution and introduce bias. Alternatively, anatomical information from another modality such as magnetic resonance (MR) imaging can be used to improve image quality. Convolutional neur...
Article
The combination of positron emission tomography (PET) with magnetic resonance (MR) imaging opens the way to more accurate diagnosis and improved patient management. At present, the data acquired by PET-MR scanners are essentially processed separately, but the opportunity to improve accuracy of the tomographic reconstruction via synergy of the two i...
Article
Full-text available
Purpose: Numerous image reconstruction methodologies for positron emission tomography (PET) have been developed that incorporate magnetic resonance (MR) imaging structural information, producing reconstructed images with improved suppression of noise and reduced partial volume effects. However, the influence of MR structural information also incre...
Code
Caches data to `~/.brainweb/` (raw data source http://brainweb.bic.mni.mcgill.ca/brainweb/anatomic_normal_20.html `uint16(362, 434, 362)`). Transforms to Siemens Biograph mMR volume dimensions `float32(127, 344, 344)`. Modifies to have FDG, T1, T2 and attenuation map intensities. Adds non-piecewise-constant randomised structure for more realistic g...
Conference Paper
Full-text available
The combination of positron emission tomography (PET) with magnetic resonance (MR) imaging opens the way to more accurate diagnosis and improved patient management. At present, the data acquired by PET and MR scanners are essentially processed separately, and the search for ways to improve accuracy of the tomographic reconstruction via synergy of t...

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