PATENT CLAIM ANALYSIS

Application Number: 15773691
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["250", "370090"]

Abstract:
A method for forming an optimized image of a subject includes steps of acquiring a plurality of one-dimensional images, generating a measured sinogram from the plurality of one-dimensional images, and determining a plurality of trial images. In the step of acquiring, the method acquires a plurality of one-dimensional images of the subject captured by a rotating-slit imager having (a) a detector, and (b) a slit collimator having a slit oriented at one of a respective plurality of slit-rotation angles, relative to the subject, about a longitudinal axis substantially perpendicular to a front surface of the detector. In the step of determining, the method iteratively determines a plurality of trial images each having a respective trial sinogram. The optimized image is one of the plurality of trial images and its corresponding trial sinogram differs from the measured sinogram by less than a predetermined tolerance.

Claim (Index 10):
The rotating-slit gamma-ray imager of  claim 9 , the array of pixels including a plurality of pixel columns, the slit collimator including a slit orientated parallel to the plurality of columns, and the slit collimator and the detector being configured to rotate together such that the slit remains parallel to the plurality of pixel columns.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 93.0
- Lexical Diversity: 2.35821
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11391599', '11714970', '11771297', '15325497', '11639786']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6928868609699887
- 35 USC 102 Novelty (BERT): 0.490667091383221
- Combined Prediction Score: 0.672664884011312
- Mean Citation Score: 198.30155
- Max Citation Score: 207.08159
- Similarity Product: 152.99001266366483

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test