Project Portfolio

Project Portfolio

Software using MRI Biomarkers for neurodegenerative disorder typing

  • User-friendly toolbox for neuroimaging interpretation
  • Single-subject level neurodegeneration monitoring
Problema per ser solucionat 
Magnetic resonance imaging (MRI) allows the quantification of detailed anatomical information. However, neuroradiologists routinely rely on visual inspection for data interpretation in the clinics. The power of visual inspection is intrinsically limited, as it only allows for a qualitative description of the anatomy and certain signs of neurodegeneration are not visible until damage is really advanced. In this way, it would be necessary to make a shift in the radiological paradigm towards the use of quantitative imaging, which is crucial for improved disease detection and diagnosis.
Aplicacions 

The proposed toolbox constitutes a technical supplement, designed to guide the clinician to promptly identify possible anatomical risk factors of neurodegeneration in a single-subject case study. It may also prove valuable in the characterization of disease progression as well as in testing therapeutic options and possible clinical interventions by estimating variance after the treatment. SeSBAT opens the possibility of exploring potential prognostic factors that may represent a clinical guideline related to a risk of developing a particular neurodegenerative disorder, which is geared towards precision and preventive medicine.

Estat de tecnologia 
SeSBAT toolbox has been tested with data from 40 HD subjects, 20 with pre-manifest HD and 20 at early stages of the disease (I and II, based on total functional capacity, TFC), and 40 healthy controls matched in age, sex and educational background. SeSBAT toolbox combines and integrates different freely available neuroimaging software packages (FreeSurfer and SPM) to provide an automated, standardized and optimized data processing of the imaging data.
Oportunitat de mercat 
The global market for medical imaging was worth $30.05 billion in 2015 and it is expected to reach $40.56 billion in 2021, expanding at a compound annual growth rate (CAGR) of 5.1 % between 2016 and 2021. Medical Imaging Informatics global market was valued at $3,653 million in 2014 and is expected to garner $5,383 million by 2022, registering a CAGR of 5.6% during the period 2016-2022. Increase in the number of diagnostic imaging procedures, high prevalence of chronic diseases, decrease in cost of medical imaging informatics data storage platforms, and improving healthcare ecosystems are the major factors that drive the growth of the market. With growing demand for radiation devices for the treatment of various types of cancers and neurological medical conditions, the market size of nuclear imaging is expected to grow at a CAGR of 10 % between 2016 and 2021
Context 
A large body of literature have evidenced that MRI is an excellent non-invasive tool for quantifying brain anatomy, high-level cognitive functions and the implied neural networks in a more sensitive, reliable and illustrative manner than commonly employed techniques. Nevertheless, while such techniques are currently used in research, mainly in the field of cognitive neuroscience, they have not been applied to clinical practice. This is due to the fact that the extraction of MRI biomarkers requires complex processing routines that are time-consuming and laborious for clinical users. Facing this limitation requires the integration of various standardized and optimized protocols with a user-friendly interface. This has led to the development of the Single Subject Brain Analysis Toolbox (SeSBAT). Moreover, until now, most research using neuroimaging approaches on neurodegenerative disorders is based on group comparison. Thus, there is a need to have tool that allow for the characterization of neurodegeneration at single-subject level. This may help to explore potential prognostic factors that may be used as clinical guideline related to an increased risk of developing a particular neurodegenerative disorder. The early detection of possible anatomical markers of neurodegeneration has the potential to alert the neuroradiologist to act in an optimal window.
Tecnologia 
This toolbox has been designed in web and MATLAB environments and provides a graphical user interface (GUI) that allows the users-toolbox interaction without the need of programming knowledge. SeSBAT uses the most advanced methodological strategies, developed in previous basic projects, by integrating various freely available neuroimaging software packages. In such a way, SeSBAT allows for the identification of fine-grained biometrics of neurodegeneration (e.g., volume measurements based on automatic brain segmentation) at single-subject level.
Technology Readiness Level 
TRL 5
Què busquem? 
Acord de llicència
Codesenvolupament
Inventors 
E. Càmara (IDIBELL)
Priority Date 
31/12/2018

Software using MRI Biomarkers for neurodegenerative disorder typing

Technology Readiness Level 
Què busquem? 
Acord de llicència
Codesenvolupament
Priority Date 
31/12/2018
Punts destacats 
User-friendly toolbox for neuroimaging interpretationSingle-subject level neurodegeneration monitoring
Problema per ser solucionat 
Magnetic resonance imaging (MRI) allows the quantification of detailed anatomical information. However, neuroradiologists routinely rely on visual inspection for data interpretation in the clinics. The power of visual inspection is intrinsically limited, as it only allows for a qualitative description of the anatomy and certain signs of neurodegeneration are not visible until damage is really advanced. In this way, it would be necessary to make a shift in the radiological paradigm towards the use of quantitative imaging, which is crucial for improved disease detection and diagnosis.
Aplicacions 

The proposed toolbox constitutes a technical supplement, designed to guide the clinician to promptly identify possible anatomical risk factors of neurodegeneration in a single-subject case study. It may also prove valuable in the characterization of disease progression as well as in testing therapeutic options and possible clinical interventions by estimating variance after the treatment. SeSBAT opens the possibility of exploring potential prognostic factors that may represent a clinical guideline related to a risk of developing a particular neurodegenerative disorder, which is geared towards precision and preventive medicine.

Estat de tecnologia 
SeSBAT toolbox has been tested with data from 40 HD subjects, 20 with pre-manifest HD and 20 at early stages of the disease (I and II, based on total functional capacity, TFC), and 40 healthy controls matched in age, sex and educational background. SeSBAT toolbox combines and integrates different freely available neuroimaging software packages (FreeSurfer and SPM) to provide an automated, standardized and optimized data processing of the imaging data.
Oportunitat de mercat 
The global market for medical imaging was worth $30.05 billion in 2015 and it is expected to reach $40.56 billion in 2021, expanding at a compound annual growth rate (CAGR) of 5.1 % between 2016 and 2021. Medical Imaging Informatics global market was valued at $3,653 million in 2014 and is expected to garner $5,383 million by 2022, registering a CAGR of 5.6% during the period 2016-2022. Increase in the number of diagnostic imaging procedures, high prevalence of chronic diseases, decrease in cost of medical imaging informatics data storage platforms, and improving healthcare ecosystems are the major factors that drive the growth of the market. With growing demand for radiation devices for the treatment of various types of cancers and neurological medical conditions, the market size of nuclear imaging is expected to grow at a CAGR of 10 % between 2016 and 2021
Context 
A large body of literature have evidenced that MRI is an excellent non-invasive tool for quantifying brain anatomy, high-level cognitive functions and the implied neural networks in a more sensitive, reliable and illustrative manner than commonly employed techniques. Nevertheless, while such techniques are currently used in research, mainly in the field of cognitive neuroscience, they have not been applied to clinical practice. This is due to the fact that the extraction of MRI biomarkers requires complex processing routines that are time-consuming and laborious for clinical users. Facing this limitation requires the integration of various standardized and optimized protocols with a user-friendly interface. This has led to the development of the Single Subject Brain Analysis Toolbox (SeSBAT). Moreover, until now, most research using neuroimaging approaches on neurodegenerative disorders is based on group comparison. Thus, there is a need to have tool that allow for the characterization of neurodegeneration at single-subject level. This may help to explore potential prognostic factors that may be used as clinical guideline related to an increased risk of developing a particular neurodegenerative disorder. The early detection of possible anatomical markers of neurodegeneration has the potential to alert the neuroradiologist to act in an optimal window.
Tecnologia 
This toolbox has been designed in web and MATLAB environments and provides a graphical user interface (GUI) that allows the users-toolbox interaction without the need of programming knowledge. SeSBAT uses the most advanced methodological strategies, developed in previous basic projects, by integrating various freely available neuroimaging software packages. In such a way, SeSBAT allows for the identification of fine-grained biometrics of neurodegeneration (e.g., volume measurements based on automatic brain segmentation) at single-subject level.