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 8):
The method for determining a biotype of  claim 7 , further comprising:\n generating e a psychophysiological interaction model from the pre-processed time-series sequence of image data, wherein generating the psychophysiological interaction model comprises: performing slice time correction on the pre-processed time-series sequence of image data using a descending interleaved acquisition sequence; normalizing the pre-processed time-series sequence of image data to a coordinate system; spatially smoothing the pre-processed time-series sequence of image data using a blurring kernel; defining at least one volume of interest in the pre-processed time-series sequence of image data using a mask; extracting an eigenvariate from the at least one volume of interest; generating a volume of interest data structure comprising:\n a deconvolved time course comprising the physiological component of the psychophysiological interaction model; \n a psychological variable describing a parametric contrast of task onsets from a contrast of interest; and \n data describing the interaction between the physiological and psychological variables.

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): 0.1916569487770245
- 35 USC 102 Novelty (BERT): 0.5648672739514543
- Combined Prediction Score: 0.2289779812944674
- Mean Citation Score: 238.436904
- Max Citation Score: 441.46133
- Similarity Product: 367.0067052926112

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