Fast high resolution reconstruction in multi-slice and multi-view cMRI

Nelson Velasco Toledo; Eduardo Romero Castro

doi:10.1117/12.2073319

28 January 2015 Fast high resolution reconstruction in multi-slice and multi-view cMRI

Nelson Velasco Toledo, Eduardo Romero Castro

Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 92871C (2015) https://doi.org/10.1117/12.2073319
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia

Abstract

Cardiac magnetic resonance imaging (cMRI) is an useful tool in diagnosis, prognosis and research since it functionally tracks the heart structure. Although useful, this imaging technique is limited in spatial resolution because heart is a constant moving organ, also there are other non controled conditions such as patient movements and volumetric changes during apnea periods when data is acquired, those conditions limit the time to capture high quality information. This paper presents a very fast and simple strategy to reconstruct high resolution 3D images from a set of low resolution series of 2D images. The strategy is based on an information reallocation algorithm which uses the DICOM header to relocate voxel intensities in a regular grid. An interpolation method is applied to fill empty places with estimated data, the interpolation resamples the low resolution information to estimate the missing information. As a final step a gaussian filter that denoises the final result. A reconstructed image evaluation is performed using as a reference a super-resolution reconstructed image. The evaluation reveals that the method maintains the general heart structure with a small loss in detailed information (edge sharpening and blurring), some artifacts related with input information quality are detected. The proposed method requires low time and computational resources.

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Nelson Velasco Toledo and Eduardo Romero Castro "Fast high resolution reconstruction in multi-slice and multi-view cMRI", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92871C (28 January 2015); https://doi.org/10.1117/12.2073319

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KEYWORDS

Image resolution

Heart

Image processing

Reconstruction algorithms

Magnetic resonance imaging

Gaussian filters

Lawrencium

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