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QUIBIM

QUIBIM applies advanced and innovative image processing techniques to radiological images in order to detect the changes produced by diseases and drugs in the body. The company was born as a spin-off of La Fe Health Research Institute in Valencia (Spain), the renowned research institute of La Fe Polytechnics and University Hospital. QUIBIM applies AI 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.

Company specifications

General
Company name QUIBIM
Founded 2012
Head office Valencia, Spain
Website https://quibim.com/
Contact info@quibim.com

Products by this company

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Subspeciality: MSK
Modality: X-ray

Volume percentage, trabecular thickness, separation and fractal dimensions, and the Quality of a ...

QUIBIM has developed a noninvasive post-processing module that characterizes the trabecular bone microarchitecture by providing bone volume percentage, trabecular thickness, separation and ...

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Subspeciality: MSK
Modality: CT, MR

Volume percentage, trabecular thickness, separation and fractal dimensions, and the Quality of a ...

QUIBIM has developed a noninvasive post-processing module that characterizes the trabecular bone microarchitecture by providing bone volume percentage, trabecular thickness, separation and ...

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Subspeciality: Abdomen, Breast
Modality: MR

ADC Map, Histogram, Volume of smallest bvalue, values of ADC parameters

QUIBIM has developed a noninvasive post-processing application designed to calculate the water molecules diffusivity in tissues. This module calculates ADC (Apparent Diffusion Coefficient) from two ...

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Subspeciality: Abdomen, Breast
Modality: MR

Parametric maps, Diffusion coefficient, Psuedodiffusion coefficient, Perfusion fraction

QUIBIM has developed a noninvasive post-processing application designed to calculate the water molecules diffusivity in tissues, allowing to detect fast water molecules diffusivity from slow water ...

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Subspeciality: Neuro
Modality: MR

the volume of grey matter, white matter, cerebrospinal fluid and their distribution, parenchyma ...

QUIBIM has developed a noninvasive post-processing application to calculate the volume of brain tissues and their regions. The tool calculates the volume of gray matter, white matter, cerebrospinal ...

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Subspeciality: Neuro
Modality: MR

ADC Map, Histogram, Volume of smallest bvalue, values of ADC parameters

QUIBIM provides several tools for analyzing the Diffusion-weighted imaging (DWI) images to obtain diffusion biomarkers. DWI exploits the random motion of water molecules. The extent of tissue ...

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Subspeciality: Neuro
Modality: MR

Absolute and relative volume

QUIBIM has developed an automatic analysis method to quantify the volume of both left and right frontal and temporal lobes as well as left and right hippocampus to assess disease diagnosis and ...

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Subspeciality: Neuro
Modality: MR

Main region volume and total volume

QUIBIM has developed an automatic tool analysis method to quantify the volume of both left and right hippocampus and compare them to a set of healthy patients to help in the early diagnosis and in ...

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Subspeciality: Neuro
Modality: MR

Absolute volume, Relative volume, Brain parenchyma fraction

QUIBIM has developed an automatic tool analysis method to quantify the volume of both left and right precentral gyrus and compare them to a set of healthy patients to help in the early diagnosis and ...

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Subspeciality: Neuro
Modality: MR

Main region volume, total volume, altered regions, Z- score

QUIBIM has developed a noninvasive post-processing application to detect those brain regions that present statistical differences in their structure with respect to healthy subjects.

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Subspeciality: MSK
Modality: MR

Automatic cartilage segmentation, T2 Values

QUIBIM has developed a non-invasive post-processing application to obtain cartilage the T2 mapping of the femoral cartilage using AI to automatically segment the cartilage. T2 mapping helps depicting ...

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Subspeciality: Chest
Modality: X-ray

Abonormal probability %, work list triage

Despite the technological evolution of imaging modalities like CT, US and MRI, conventional X-ray remains the most performed examination in radiology departments and remains a fundamental tool for ...

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Subspeciality: Abdomen
Modality: MR

Liver segmentation, Quantification of PDFF and R2*

QUIBIM has developed a VIRTUAL BIOPSY tool that analyzes MR volume datasets to provide a simultaneous quantification of iron, fat and water concentration for evaluating steatosis and iron overload ...

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Subspeciality: Chest
Modality: CT

emphysema %, emphysema volume and lung volume

QUIBIM has developed fully automated tool that analyzes CT volume datasets to provide a quantification of different imaging biomarkers: lung volumes, vessel volumes, emphysema volume and ratio ...

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Subspeciality: Abdomen, Breast
Modality: MR

Ktrans, Fractional volume of extra vascular extracellular space, Suggested use of software ...

QUIBIM extracts different vascular-based imaging biomarkers which are based on the quantitative pharmacokinetic assessment of Dynamic Contrast-Enhanced Magnetic Resonance Images (DCE-MRI). A ...

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Subspeciality: Abdomen, Breast
Modality: MR

T2 values, T2 Histogram

QUIBIM has developed a fully automated tool to calculate the parameters related to the MR transverse relaxation time. The aim of QUIBIM Precision® Relaxometry T2 Mapping is to provide T2 relaxometry ...

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Subspeciality: Neuro, MSK, Chest, Abdomen, Breast
Modality: X-ray, CT, MR, PET, US, SPECT

Quantification, Radiomics, imaging biomarker discovery

QUIBIM has developed a non-invasive post-processing application to quantify several features related to the heterogeneity of a lesion, which can be considered as indicators of tumor aggressiveness. ...

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Subspeciality: Neuro
Modality: MR

Lesion volume, Lesion count, Entropy, dissemination

QUIBIM has developed a noninvasive post-processing application designed to automatically calculate the volume of white matter and quantify the present lesions. The software allows to calculate the ...

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