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magnetic resonance imaging

Parenchima workshop quibim

First QUIBIM Precision Hands-On Parenchima Cost Workshop

Valencia, March 14, 2019 –  Celebrating the World Kidney Day, QUIBIM, with the support of the Parenchima initiative, organized the first QUIBIM Precision Training Workshop for leading scientific researchers in medical imaging of kidney from 25 European countries.

On March 12th – 13th, QUIBIM hosted its first face-to-face workshop in Valencia (Spain) to train researchers and engineers who want to integrate medical image quantification algorithms in the Quibim Precision® platform. This is an initiative by QUIBIM with the objective of opening the platform to radiologists, clinicians and researchers who want to develop and implement their own MRI algorithms for chronic kidney disease.

QUIBIM was selected in the previous annual meeting of the Parenchima consortium in  Prague, (October 4th-5th, 2018), as the best system for medical imaging data management and integration of new analysis algorithms for the COST action project. Thanks to its ability to centralise, manage and store data extracted from the medical images from the different partner hospitals in a single platform, QUIBIM  offers the project to allow for acquisition protocols and algorithms comparison in terms of quality and precision, all at the same place.


The outcome of the project will consist of  new standards for image acquisition and analysis of MRI of the kidney for chronic kidney disease. QUIBIM’s team enjoyed hosting the workshop for the partners and are excited to be part of such a groundbreaking initiative.   


Renal MRI biomarkers are underused today in research and in clinical practice due to the need for dedicated in-house expertise and development. Transferring solutions to other centres is therefore a challenge, and this leads to a significant duplication of efforts, a lack of standardisation in the methods, and difficulties in comparing results between centres. This also limits commercial exploitation, and hinders the set-up of multi-centre trials or translation into clinical practice.

The overall aim of PARENCHIMA is to eliminate the main barriers to the broader study, commercial exploitation and clinical use of renal MRI biomarkers.

PARENCHIMA will coordinate the research of leading European groups in this area to:

  • improve the reproducibility and standardisation of renal MRI biomarkers;
  • increase their availability by developing an open-access toolbox with software and data;
  • demonstrate biological validity and clinical utility in a prospective multicentre clinical study.

In order to increase the impact of this project we are reaching out to join the efforts. More info at:


QUIBIM is a company from Valencia (Spain) which applies artificial intelligence and advanced computational models to radiological images to objectively measure changes produced by a lesion or by a pharmacological treatment, offering additional quantitative information to the qualitative approach of radiology. QUIBIM technology and services are applied in clinical practice, clinical trials, radiology education and research projects. More info at:

MRS QUIBIM Analysis_2

QUIBIM now offering advanced MR spectroscopy analysis including 2-HG for IDH1 mutation detection

Continuing its focus in the field of Oncology, QUIBIM is proud to offer an advanced MR Spectroscopy analysis tool. This tool developed in house by QUIBIM will help oncologists to improve diagnosis and treatment of brain gliomas, a disease that has an incidence of 22.6 per 100.000 population in United States.

In order to have reproducible, reliable and accurate information from tumors, we provide physicians with quantification of the metabolite by analyzing Magnetic Resonance Spectroscopy (MRS) images. MRS is a non-invasive imaging technique widely used to obtain chemical information by detecting relevant metabolites concentration from a spectrum.

Even though it is possible to detect almost any metabolite in the body, QUIBIM is currently focusing on the detection of the 2-Hydroxyglurate (2HG) because of its influence in the prediction of low-grade brain gliomas. 2HG is a metabolite, normally present at very low levels in healthy cells and tissues because of the reduction of α-ketoglutarate (α-KG) catalyzed by isocitrate dehydrogenase (IDH) protein. The IDH enzyme mutation in low-grade brain gliomas produces an accumulation of 2-HG which makes the measurement of this oncometabolite crucial to distinguish IDH-mutant gliomas from other brain mass (Stefan, et al., 2010).

MRI quality assurance

The quality assurance of the Magnetic Resonance Imaging (MRI) images is important and mandatory to ensure consequent and reliable results from the MR analysis. For that reason, a qualitative evaluation of the images is performed by QUIBIM to guarantee a strict and standard control of the images by checking the accomplishment of the MRI acquisition protocol set and the absence of artifacts.

MRS quality assurance

The first technical information QUIBIM provides with, is the graphical representation of the voxel placement in the sagittal, axial and coronal view depicted in a structural image. This quality review is important in order to assure the correct position of the voxel in the MRS acquisition avoiding necrotic tissue or non-tumor substances what can affect MRS results.

MRS quantification

Once the quality check of the MRS acquisition is done, QUIBIM produces a technical structured report, quantitative and graphical information about the MRS analysis.

QUIBIM_MRS Structured report

The report, apart from the main images and quantitative information, includes a spectrum graph and the voxel placement. Each peak of the spectrum corresponds to a different substance or metabolite with a different resonance frequency. This difference is usually measured in an independent scale besides the principal magnetic field (parts per million). The intensity of each peak is related to the concentration of the substances in the studied volume (Sánchez, et al., 2001).

To perform the analysis, the voxel in the tumor area and a reference acquisition corresponding to water are required. An automatic analysis of the spectrum is done providing this information and setting the up and down boundary value in ppm according to the metabolite searched. Then, we automatically process the spectrum filtering the water peak in the time domain, reducing the spectrum noise, adjusting the ppm scale according to Creatine and Choline position, and correcting the phase of the signal in order to also correct the baseline offset level to ensure the reliability and accuracy of metabolites’ concentration (Martí-Bonmatí & Alberich-Bayarri, 2013).

Therefore, it is possible to obtain from the studied metabolite its absolute concentration, the percentage of standard deviation (%SD) and its relative concentration using Creatine as a reference value (/Cr), sometimes adding other reference metabolites like PCr as the example of Figure 1 (/Cr+PCr).

The information provided by the standard deviation is essential to read MRS results because absolute concentration reliability depends on them: metabolites with a %SD less than 50 are practically undetectable with this data whereas a %SD<20 is a rough criterion for estimates of acceptable reliability. In addition, the third column indicates ratio relative to /Cr. This quantitative information will appear in the lower part of the report followed by a space for the signature of the scientist from QUIBIM once the analysis is done.

MRS analysis is now available in QUIBIM Precision® Platform to support oncologists and radiologists in brain gliomas treatment and diagnosis.

boton try quibim


  • Francesca Branzoli, *. A. (2018). Highly specific determination of IDH status using edited in vivo magnetic resonance spectroscopy. Neuro-Oncology, 907-916.
  • Martí-Bonmatí, L., & Alberich-Bayarri, Á. (2013). Disease Biomarkers: Modelling MR Spectroscopy and Clinical Applications in Bioinformatics of Human Proteomics. Valencia: Springer.
  • Min Zhou, *. Y. (2018). Diagnostic accuracy of 2-hydroxyglutarate magnetic resonance spectroscopy in newly diagnosed brain mass and suspected recurrent gliomas. Neuro-Oncology, 1262-1271.
  • Sánchez, J., Santos, A., SantaMarta, C., Benito, C., Benito, M., & Desco, M. (2001). Herramienta de Análisis de Espectros de RM. CASEIB. Madrid.
  • Stefan, G., Rob A., C., Mark D., M., Edward M., D., Mark A., B., Hyun Gyung, J., . . . David P., S. (2010). Cancer-associated metabolite 2-hydroxyglutarate accumulates in acute myelogenous leukemia with isocitrate dehydrogenase 1 and 2 mutations. Journal of experimental Medicine, 207(2), 339–344.
Presentation of QUIBIM Precision platform at PARENCHIMA meeting in Prague, October 2018

QUIBIM continua su liderazgo en imagen médica e inteligencia artificial gestionando los datos y los algoritmos de un proyecto europeo en 25 países

QUIBIM ha sido seleccionado como el socio principal para gestionar todos los datos de imagen médica y los algoritmos de análisis de la iniciativa PARENCHIMA, un proyecto europeo de la acción COST (European Cooperation in Science and Technology) que se inició en abril de 2017 con el objetivo de impulsar el uso de biomarcadores de imagen calculados con resonancia magnética para mejorar el manejo de pacientes con enfermedad renal crónica. Multiples Investigadores científicos de 25 países europeos, líderes en imagen médica y enfermedad renal, utilizarán en esta iniciativa la plataforma QUIBIM Precision® para la realización de análisis avanzados. Uno de los desafíos del proyecto es centralizar los datos de imágenes médicas y los algoritmos de todos los socios para permitir la comparación entre protocolos de adquisición y algoritmos computacionales en términos de calidad y precisión. El resultado del proyecto consistirá en dos nuevos estándares para la adquisición y análisis de imágenes de resonancia magnética en la enfermedad renal crónica.

En la pasada reunión anual en Praga, los días 4 y 5 de octubre, se formalizó el acuerdo entre los socios del consorcio PARENCHIMA y QUIBIM. La plataforma QUIBIM Precision fue seleccionada como el mejor sistema para la gestión de las imágenes y de integración de los nuevos algoritmos de análisis.

Steven Sourbron, profesor de resonancia magnética en la Universidad de Leeds y coordinador del proyecto, manifestó: “Estoy encantado de que QUIBIM haya elegido asociarse con PARENCHIMA para ayudarnos a mejorar los resultados en beneficio de los pacientes, al hacer accesibles estas innovadoras y prometedoras técnicas para su uso en ensayos clínicos y manejo asistencial del paciente”. Frank Zöllner, profesor adjunto de física médica en la Universidad de Heidelberg y líder del grupo de trabajo encargado de la base de datos y el software de PARENCHIMA, comentói que “QUIBIM tiene una gran experiencia en algoritmos de inteligencia artificial y gestión de datos de imagen médica y estamos seguros de que son el colaborador adecuado que necesita este proyecto”. Angel Alberich-Bayarri, CEO de QUIBIM expresó que “QUIBIM está orgulloso de ser parte de este proyecto donde se generarán nuevos estándares de adquisición y análisis de imágenes en la enfermedad renal crónica, un escenario clínico no abordado previamente de forma conjunta. El impacto de este estudio será global y mejorará la vida de millones de pacientes, ya que esta enfermedad afecta al 10% de la población mundial.”



Hoy en día, los biomarcadores de resonancia magnética renal están infrautilizados no sólo en la investigación, pero también en la práctica clínica, principalmente debido a la falta de difusión y a la necesidad de desarrollo de técnicas propias. Transferir soluciones a otros centros donde funcionen y estén validadas es, por lo tanto, un reto todavía no resuelto, lo que conlleva una replicación significativa de esfuerzos, una falta de estandarización en los métodos y dificultades para comparar los resultados entre los centros. Esto también limita la comercialización y dificulta la creación de ensayos multicéntricos y la traslación a la práctica clínica.

El objetivo general de PARENCHIMA es eliminar las principales barreras para un estudio clínico más extenso y la consiguiente explotación comercial de los biomarcadores de resonancia magnética renal.

PARENCHIMA coordinará la investigación de los principales grupos europeos en esta área para:

  • mejorar la reproducibilidad y estandarización de los biomarcadores de resonancia magnética renal;
  • aumentar su disponibilidad desarrollando un conjunto de herramientas de acceso abierto con herramientas software y datos;
  • demostrar la validez biológica y la utilidad clínica en un estudio clínico prospectivo multicéntrico.

Para aumentar el impacto de este proyecto, hemos decidido unir nuestros esfuerzos. Más información en:



QUIBIM es una empresa de Valencia (España) que aplica inteligencia artificial y modelos computacionales avanzados a las imágenes radiológicas para medir de manera objetiva los cambios producidos por una lesión o por los tratamientos farmacológico, y ofrece información cuantitativa adicional al enfoque cualitativo de la radiología. La tecnología y los servicios de QUIBIM se aplican en la práctica clínica, los ensayos clínicos, la formación en radiología y los proyectos de investigación. Más información en: