CASMIP Laboratory in cooperation with Tel Aviv Sourasky Medical Center
| Category | Medicine, Radiology, Artificial Intelligence |
| Keywords | Fetal MRI, radiology, medical image processing, deep learning, Artificial Intelligence |
| Current Development Stage | Medical Device: Prototype Software |
Application
Improve pre-natal evaluation and management based on advanced imaging and analysis
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Enable precise diagnosis of fetal developmental disorders
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Enable early intervention/treatment based on precise diagnosis of developmental disorders
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Improve fetal prognosis
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Help patients and their families in decision making during pregnancy
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Reduce costs to patient and to the health care system
Our Innovation
We have developed automatic expert quantitative assessment of functional and structural fetal development based on custom MRI scanning protocols, including advanced image processing, methods and novel MRI biomarkers.
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Unique MRI scanning protocols: sequences to optimize time, quality, and relevance
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Advanced automatic image processing methods
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Novel MRI biomarkers: morphological and functional covering a wider spectrum of conditions
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Comprehensive MRI-based analysis: interplay between the development of the various organs, brain and placenta to ensure the analysis is more specific, sensitive and reliable
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Automated quantitative comprehensive report generation
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Multi exploration (morphology and functional) tool within a single examination leading to a shorter time period in which a diagnoses can be offered.
Technology
Based on three key components
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Fetal MRI scanning protocol
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Advanced fetal structures segmentation
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Fetal MRI biomarkers
Opportunity
We provide a solution for accurate, quantitative, automatic, operator-independent image-based evaluation of a fetus.
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Enable early and precise diagnosis of fetal developmental disorders: precise detection of malformation and congenital anomalies.
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Enable early intervention/treatment based on early diagnosis of developmental disorder: optimize the time for delivery
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Help patients and their families in decision making during pregnancy
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Reduce costs to patient and to the health care system
