PATENT CLAIM ANALYSIS

Application Number: 15997631
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["382", "209000"]

Abstract:
Systems and methods for detecting complex networks in MRI image data in accordance with embodiments of the invention are illustrated. One embodiment includes an image processing system, including a processor, a display device connected to the processor, an image capture device connected to the processor, and a memory connected to the processor, the memory containing an image processing application, wherein the image processing application directs the processor to obtain a time-series sequence of image data from the image capture device, identify complex networks within the time-series sequence of image data, and provide the identified complex networks using the display device.

Claim (Index 21):
A magnetic resonance imaging image processing system, comprising:\n at least one processor; a display in communication with the at least one processor; a magnetic resonance imaging machine a memory connected to the at least one processor and containing an image processing application; wherein the image processing application directs the processor to:\n obtain the image data from the magnetic resonance imaging machine; \n generate a time-series sequence of image data of the patient's brain; \n pre-process the time-series sequence of image data to identify brain regions; \n generate at least one neurological model, the at least one neurological model comprising:\n a data structure describing at least one network within the time-series sequence of image data, and \n metrics specifying neurological activity observable within the time-series sequence of image data; \n \n assign a biotype to the patient based on the neurological model; and \n provide a graphical user interface containing the assigned biotype using the display.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 94.0
- Lexical Diversity: 2.2449
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15820338', '14401296', '14800212', '15642522', '14439145']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.191125550631685
- 35 USC 102 Novelty (BERT): 0.5665330269965857
- Combined Prediction Score: 0.228666298268175
- Mean Citation Score: 238.436904
- Max Citation Score: 441.46133
- Similarity Product: 380.85570860156

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test