X-Ray Imaging

Contact person: Mónica Abella

The work on X-ray Imaging encompasses all the steps of the image formation with X-rays from raw data acquisistion, calibration, pre-processing and tomographic reconstruction to post-processing and quantification. The work in this area can be divided into two main lines: "Clinical X-Ray systems" and "X-Ray CT systems for small animal".

  • Clinical X-Ray systems

The main objective of this line of research is the design and development of a new generation of Radiology systems, for clinical and veterinary applications, through the research and development of innovative technologies in advanced image processing oriented to increase image quality, to reduce dose and to incorporate tomography capabilities in Digital Radiology Systems. The latter would allow bringing tomography to situations in which a CT system is not allowable, for instance when the patient cannot be moved (during surgery or ICU) or due to costs issues (underdeveloped countries or rural areas). On the other hand, the reduction of radiation dose received by the patient will reduce risks involved in this imaging modality reducing the social reservations towards its use. 

  • X-Ray CT systems for small animal

The visualization and quantification of the function of certain organs in laboratory animals by means of nuclear medicine techniques is demonstrating to be a tool of great relevance for the characterization of the phenotype of transgenic animals in the study of models of human diseases, as well as for the discovery and development of the new drugs and biochemical probes. One of the difficulties that PET imaging must face working at the right scale for small animals is its relatively low spatial resolution, hindering the localization of the activated structures. This poses the urge of using other imaging modalities that provide anatomical information to localize functional data. X-ray CT is the anatomical modality preferred for small animal due to their high resolution and the possibility of being integrated with nuclear imaging systems. The combination of these systems enables synergies between both modalities, making it possible the use of the data acquired from one modality (CT) to process the data from the other (PET), for example to perform corrections or to help in the reconstruction with a priori information. In our laboratory we develop new technologies for high-resolution CT systems, some of which have been transferred to the industry.

Selected publications


M. Abella, C. de Molina, N. Ballesteros, A. Garcia-Santos, A. Martínez, I. García, M. Desco. Enabling tomography with low-cost C-arm systems, Plos One, 2018 (in press).

Pedro M. Gordaliza, Arrate Muñoz-Barrutia, Monica Abella, Manuel Desco, Sally Sharpe, and Juan José Vaquero. Unsupervised CT Lung Image Segmentation of a Mycobacterium Tuberculosis Infection Model, Scientific Reports, 8:9802, 1-10, 2018.

C. de Molina, E. Serrano, J. Garcia-Blas, J. Carretero, M. Desco and M. Abella. GPU-accelerated Iterative Reconstruction for Limited-Data Tomography in CBCT Systems, BMC Bioinformatics, 9:171, 2018.

M. Abella, E. Serrano, J. Garcia-Blas, I. García, C. de Molina, J. Carretero, M. Desco. FUX-Sim: An implementation of a fast universal simulation/reconstruction framework for X-ray systems, Plos One 2017, 12(7): e0180363.

F.P.J. Abascal*, M. Abella*+, E. Marinetto, J. Pascau, M. Desco, A novel prior- and motion-based compressed sensing method for small-animal respiratory gated CT, PLoS One 11(3), e0149841, 2016.

M. Abella, C. de Molina, N. Ballesteros, A. Garcia, I. Garcia, A. Martínez, M. Desco. Setting up a low-cost C-arm for its use as a tomograph: preliminary results, Proceedings of the 5th International Conference on Image Formation in X-Ray Computed Tomography (CT meeting 2018), 143-146, 2018.

C. Martínez, J. A, Fessler, M. Desco, M. Abella. Statistical Image Reconstruction with Sample-Based Beam-Hardening compensation for X-ray CT, Proceedings of the 5th International Conference on Image Formation in X-Ray Computed Tomography (CT meeting 2018), 11-14, 2018.

N. Ballesteros Tenrero, M. Desco, M. Abella. Respiratory gating method for low-dose small-animal CT studies: preliminary results, Proceedings of the 5th International Conference on Image Formation in X-Ray Computed Tomography (CT meeting 2018), 173-176, 2018.

J. F. P. J. Abascal, M. Abella, C. Mory, N. Ducros, C. de Molina, E. Marinetto, F. Peyrin, M. Desco. Sparse reconstruction methods in x-ray CT, Proceedings of SPIE Conference on Developments in X-Ray Tomography XI. Optical Engineering & Applications, 10391, 2017 (doi: 10.1117/12.2272711).

E. Serrano, J. Garcia Blas, J. Carretero, M. Abella, M. Desco. Medical Imaging Processing on a Big Data platform using Python: Experiences with Heterogeneous and Homogeneous Architectures, Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 830-837, 2017.

C. Martínez, C. de Molina, M. Desco, M. Abella. Calibration-free method for beam-hardening compensation: preliminary results, IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC), 2017

A. Martínez, A. García, R. Polo, M. Desco, M. Abella. XAPLAB: software de diseño de protocolos de adquisición con equipos de rayos X, Libro de actas del XXXV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2017), 37-40, 2017.

N. Ballesteros, C. de Molina, M. Desco, M. Abella. Corrección de artefacto por movimiento respiratorio para TAC de pequeño animal en estudios con bajas dosis de radiación, Libro de actas del XXXV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2017), 247-250, 2017.

I. García, M. Desco, M. Abella. Método para visualización simultánea en imagen de rayos X de tejidos de muy diferente densidad. Libro de actas del XXXV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2017), 349-352, 2017.

X. Ye, C. de Molina, N. Ballesteros, A. Martínez, M. Desco, M. Abella. Extracción de superficie con escáner de luz estructurada para tomografía de ángulo limitado, Libro de actas del XXXV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2017), 243-246, 2017.

C. Martínez, N. Ballesteros, C. de Molina, M. Desco, M. Abella. Corrección del efecto de endurecimiento basado en una linealización 2D, Libro de actas del XXXV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2017), 529-532, 2017.

E. Serrano, J. Garcia Blas, J. Carretero y M. Abella. Hacia la convergencia entre HPC y Big Data: experiencia acelerando una aplicación de procesamiento de imagen médica, XXVIII Jornadas de Paralelismo, 563-568, 2017 (ISBN-13: 978-84-697-4835-0).

E. Serrano, J. García Blas, I. García, C. Molina, J. Carretero, M. Desco, M. Abella. Design and Evaluation of a Parallel and Multi-Platform Cone-Beam X-Ray Simulation Framework. CT-Meeting 2016 Proceedings: The 4th International Conference on Image Formation in X-Ray Computed Tomography (CT meeting 2016): 423-426, 2016.

C. Martínez, C. de Molina, M. Desco, M. Abella. Simple method for beam-hardening correction based on a 2D linearization function. CT-Meeting 2016 Proceedings: The 4th International Conference on Image Formation in X-Ray Computed Tomography (CT meeting 2016): 475-478, 2016.

A. Martínez, A. García-Santos, I. García, E. Serrano, J. García, C. de Molina, R. Polo, M. Desco, M. Abella. A software tool for the design and simulation of X-ray acquisition protocols. CT-Meeting 2016 Proceedings: The 4th International Conference on Image Formation in X-Ray Computed Tomography (CT meeting 2016): 323-326, 2016.

C. de Molina, J.F.P.J. Abascal, M. Desco, M. Abella. Study of the possibilities of Surface-Constrained Compressed Sensing (SCCS) Method for Limited-View Tomography in CBCT systems. CT-Meeting 2016 Proceedings: The 4th International Conference on Image Formation in X-Ray Computed Tomography (CT meeting 2016): 491-494, 2016.

E. Serrano, J. Garcia-Blas, J. Carretero, and M. Abella, Architecture for the Execution of Tasks in Apache Spark in Heterogeneous Environments, in 4th International Workshop on Parallelism in Bioinformatics (PBio 2016). Euro-Par, 2016.

E. Serrano, T. Vander Aa, R. Wuyts, J. G. Blas, J. Carretero, M. Abella, Exploring a Distributed Iterative Reconstructor Based on Split Bregman Using PETSc. Algorithms and Architectures for Parallel Processing. ICA3PP 2016. Lecture Notes in Computer Science, vol 10049 (Springer, Cham), 2016. (ISBN: 978-3-319-49956-7)

C. Martínez, C. de Molina, M. Desco, M. Abella. Corrección empírica del artefacto de endurecimiento de haz exento de calibración. Libro de actas del XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2016): 2-4, 2016.

E. Serrano, J. Garcia-Blas, J. Carretero, and M. Abella, Propuesta Arquitectónica para la ejecución de tareas en Apache Spark para entornos heterogéneos, in V Congreso Español de Informática (CEDI 2016), Jornadas Sarteco 2016.

A. García-Santos, C de Molina, I. García, A. Martínez, J. Pascau, M. Desco, M. Abella, Setting up a C-arm for its use as a tomograph, CASEIB 2015.

A. Marcos, A. Ortega, M. Abella, M. Desco, J. J. Vaquero, Geometric Calibration Workflow for High Resolution Cone Beam Micro-Computed Tomography, IEEE NSS/MIC, 2015

M. Abella, J. Abascal, A. Sisniega, J.J. Vaquero and M. Desco, Investigation of different sparsity transforms for the PICCS algorithm in small-animal respiratory gated CT, Plos One, 10(4), e0120140, 2015.

M. Abella, J. F. Abascal, E. Marinetto, J.J. Vaquero, M. Desco, Novel 4D Image Reconstruction for Dynamic X-Ray Computed Tomography in Slow Rotating Sanners, IEEE NSS/MIC, 2014

A Sisniega, M Abella, M Desco, JJ Vaquero. Dual exposure technique for extending the dynamic range of x-ray flat panel detectors. Phys Med Biol, vol. 59(2), 421-439, 2014

A. Sisniega, M. Desco and J. J. Vaquero, “Modification of the TASMIP x-ray spectral model for the simulation of microfocus x-ray sources”, Med. Phys., vol. 41, pp. 011902, 2014

J. Garcia Blas, M. Abella, F. Isaila, J. Carretero, M. Desco. Surfing the optimization space of a multiple-GPU parallel implementation of an X-ray tomography reconstruction algorithm, Journal of Systems and Software, 95, 166–175, 2014.

C. de Molina, J. F. P. J. Abascal, J. Pascau, M. Desco, M. Abella, Evaluation of the Possibilities of Limited Angle Reconstruction for the use of Digital Radiography System as a Tomograph, IEEE NSS/MIC, 2014

C de Molina, et al. Calibration of a C-arm X-Ray System for Its Use in Tomography. IFMBE Proceedings, 41: 245-248, 2013

A Sisniega, J Abascal, M Abella, J Chamorro, M Desco, JJ Vaquero. Iterative Dual-Energy Material Decomposition for Slow kVp Switching: A Compressed Sensing Approach. IFMBE Proceedings, 41: 491-494, 2013.

Sisniega, J. F. Abascal, M. Abella, M. Desco, J. J. Vaquero, Iterative Dual-Energy Raw Data Decomposition for Slow kVp Switching: a Feasibility Study, IEEE Nuclear Science Symposium and Medical Imaging Conference, 2948-2950, 2012

M Abella, JJ Vaquero, A Sisniega, J Pascau, A Udías, V García, I Vidal, M Desco. Software architecture for multi-bed FDK-based reconstruction in X-ray CT scanners. Comput Meth Prog Bio, 107(2): 218-232, 2012.

J Pascau, JJ Vaquero, J Chamorro-Servent, A Rodríguez-Ruano, M Desco. A method for small-animal PET/CT alignment calibration. Phys Med Biol, 57(12): N199-N207, 2012.

M Paraíso, et al. Evaluation of the effect of calibration accuracy in a C-arm for its use in tomography.  CASEIB  2012.

J Abascal, A Sisniega, C Chavarrías, JJ Vaquero, M Desco, M Abella. Investigation of different Compressed Sensing Approaches for Respiratory Gating in Small Animal CT. 2012 IEEE NSS/MIC, 3344-3346, 2012

M Abella, JA Fessler. A new statistical image reconstruction algorithm for polyenergetic X-ray CT. Proceedings of the 2009 IEEE ISBI, 165-168, 2009.

Projects


  1. IDI-20130301, “Nuevo sistema integral de radiografía (INNPROVE: INNovative image PROcessing in medicine and VEterinary)”, IP: Mónica Abella García and Manuel Desco Menéndez. Ministerio de Economía y Competitividad – Subcontratación CDTI, 14/01/2013-31/03/2015. (Art. 83)
  2. TEC2013-47270-R, “Avances en Imagen Radiológica (AIR)”, Ministerio de Economía y Competitividad, 01/01/2014-31/12/2016. IP: Mónica Abella García and Manuel Desco Menéndez.
  3. RTC-2014-3028-1, “Nuevos Escenarios Clínicos con Radiología Avanzada (NECRA)”, Ministerio de Economía y Competitividad, 01/06/2014-31/12/2016, IP: Mónica Abella García. 2014-2016.
  4. 120028/14, “Nuevo sistema integral de radiografía”, IP: Manuel Desco Menéndez, Fundación para la Innovación y Prospectiva de la Salud en España (FIPSE), IP: Manuel Desco Menéndez. 15/02/2015-14/02/2016.
  5. “Predict-TB: Model-based preclinical development of anti-tuberculosis drug combinations” Innovative Medicines Initiative (IMI) Joint Undertaking, EU-FP7, 2012-2015

Entidades Financiadoras

mineco

 

Fundación para la Innovación y Prospectiva de la Salud en España (FIPSE)

The research leading to these results has received funding from the Innovative Medicines Initiative (www.imi.europa.eu) Joint Undertaking under grant agreement n° 115337, resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies' in kind contribution.

Patents


Mangoose, an efficient implementation of a multi-bed FDK-based reconstruction algorithm for CT scanners with cone-beam geometry, # 02/2010/4412, 2010. Licenciado a SEDECAL