18130693. SYSTEM AND METHOD FOR AUTOMATIC SEGMENTATION OF TUMOR SUB-COMPARTMENTS IN PEDIATRIC CANCER USING MULTIPARAMETRIC MRI simplified abstract (WISCONSIN ALUMNI RESEARCH FOUNDATION)

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SYSTEM AND METHOD FOR AUTOMATIC SEGMENTATION OF TUMOR SUB-COMPARTMENTS IN PEDIATRIC CANCER USING MULTIPARAMETRIC MRI

Organization Name

WISCONSIN ALUMNI RESEARCH FOUNDATION

Inventor(s)

Pallavi Tiwari of Madison WI (US)

Rohan Bareja of Madison WI (US)

SYSTEM AND METHOD FOR AUTOMATIC SEGMENTATION OF TUMOR SUB-COMPARTMENTS IN PEDIATRIC CANCER USING MULTIPARAMETRIC MRI - A simplified explanation of the abstract

This abstract first appeared for US patent application 18130693 titled 'SYSTEM AND METHOD FOR AUTOMATIC SEGMENTATION OF TUMOR SUB-COMPARTMENTS IN PEDIATRIC CANCER USING MULTIPARAMETRIC MRI

The present disclosure introduces systems and methods for precise segmentation of pediatric tumors using MRI images to enhance disease diagnosis, prognosis, patient treatment, and surgical planning. The approach involves automated transfer learning from adult brain tumors to pediatric brain tumors for accurate segmentation of tumor sub-compartments.

  • Utilizes a fully automated transfer learning approach to segment pediatric tumor sub-compartments.
  • Learns tumor-specific patterns from adult brain tumors and transfers this knowledge to the pediatric brain tumor domain.
  • Improves disease diagnosis, prognosis, patient treatment, and surgical planning through accurate segmentation of pediatric tumors using MRI images.

Potential Applications: This technology can be applied in the medical field for accurate diagnosis and treatment planning of pediatric brain tumors. It can also be used in research settings to study tumor-specific patterns and improve understanding of pediatric brain tumors.

Problems Solved: This technology addresses the challenge of accurately segmenting pediatric brain tumors using MRI images, which can lead to improved patient outcomes and treatment strategies.

Benefits: - Enhanced accuracy in pediatric brain tumor segmentation - Improved disease diagnosis and prognosis - Better treatment planning for pediatric brain tumor patients

Commercial Applications: Title: Advanced Pediatric Brain Tumor Segmentation Technology for Improved Diagnosis and Treatment Planning This technology can be commercialized as a software tool for healthcare providers, hospitals, and research institutions to enhance the accuracy of pediatric brain tumor diagnosis and treatment planning. It has the potential to improve patient outcomes and streamline medical processes.

Questions about Pediatric Brain Tumor Segmentation: 1. How does this technology improve the accuracy of pediatric brain tumor segmentation? This technology utilizes transfer learning from adult brain tumors to pediatric brain tumors to enhance the segmentation process, resulting in more precise and reliable results.

2. What are the potential applications of this technology beyond pediatric brain tumor segmentation? In addition to pediatric brain tumor segmentation, this technology can be applied in other medical imaging fields for accurate disease diagnosis and treatment planning.


Original Abstract Submitted

The present disclosure provides systems and methods for accurate segmentation of pediatric tumors using MRI images to improve disease diagnosis, prognosis, patient treatment and surgical planning. Specifically, systems and method herein perform segmentation of pediatric tumor sub-compartments using a fully automated transfer learning approach that learns tumor-specific patterns from adult brain tumors and transfers the knowledge to the pediatric brain tumor domain.

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