# US 11,443,845 B2 · Systems and methods for storing compressed images

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 11,443,845 B2
- Document ID: US11443845B2
- Status: Granted
- Kind: B2
- Application number: 16/883,516
- Filed: 2020-05-26
- Published: 2021-12-02
- Granted: 2022-09-13
- Earliest claimed: 2020-05-26
- Assignees: Fujifilm Medical Systems U.S.A., Inc.
- Applicants: Fujifilm Medical Systems U.S.A., Inc.
- Inventors: Tatsuo Kawanaka
- Web page: https://patentgrep.com/patent/US11443845B2

## CPC

- G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS
- H04N 19/154: Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion (use of rate-distortion criteria H04N19/147)
- G06T 7/0012: {Biomedical image inspection}
- G06T 7/0014: {using an image reference approach}
- G06T 9/00: Image coding (bandwidth or redundancy reduction for static pictures H04N1/41; coding or decoding of static colour picture signals H04N1/64; methods or arrangements for coding, decoding, compressing or decompressing digital video signals H04N19/00)
- G16H 10/60: for patient-specific data, e.g. for electronic patient records
- G16H 40/67: for remote operation
- H04N 19/124: Quantisation
- H04N 19/172: the region being a picture, frame or field
- H04N 19/192: the adaptation method, adaptation tool or adaptation type being iterative or recursive
- G06T 2207/10072: Tomographic images
- G06T 2207/30016: Brain
- G06T 2207/30168: Image quality inspection
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

Method for storing a compressed digital image includes performing an artificial intelligence (“AI”) diagnostic test on the digital image; determining an uncompressed diagnostic result associated with the digital image based on the AI diagnostic test; generating one or more compressed digital images by compressing the digital image, each compressed digital image having a respective compression ratio; decompressing each compressed digital image to generate a respective decompressed digital image; performing the diagnostic test on each decompressed digital image; determining a decompressed diagnostic result associated with each decompressed digital image based on the respective diagnostic test; identifying one or more decompressed digital images having a respective decompressed diagnostic result that is the same as the uncompressed diagnostic result; selecting from the identified one or more decompressed digital images, the decompressed digital image associated with the highest compression ratio; and storing the compressed digital image associated with the selected decompressed digital image.

## Claims

### Claim 1

A method of storing a compressed digital image, comprising:
receiving, at one or more computing devices, a digital image;
performing, at the one or more computing devices, an artificial intelligence (“AI”) diagnostic test on the digital image;
determining, at the one or more computing devices, an uncompressed diagnostic result associated with the digital image based on the AI diagnostic test;
generating, at the one or more computing devices, one or more compressed digital images by compressing the digital image, each compressed digital image having a respective compression ratio;
decompressing, at the one or more computing devices, each compressed digital image to generate a respective decompressed digital image;
performing, at the one or more computing devices, the AI diagnostic test on each decompressed digital image;
determining, at the one or more computing devices, a decompressed diagnostic result associated with each decompressed digital image based on the respective AI diagnostic test;
identifying, at the one or more computing devices, one or more decompressed digital images having a respective decompressed diagnostic result that is the same as the uncompressed diagnostic result;
selecting, at the one or more computing devices and from the identified one or more decompressed digital images, the decompressed digital image associated with the highest compression ratio; and
storing, at the one or more computing devices, the compressed digital image associated with the selected decompressed digital image.

### Claim 2 (depends on 1)

The method of claim 1, wherein the digital record comprises a medical image record.

### Claim 3 (depends on 2)

The method of claim 2, wherein the medical image record comprises a Digital Imaging and Communications in Medicine (“DICOM”) Service-Object Pair Instance.

### Claim 4 (depends on 1)

The method of claim 1, wherein each compressed digital image is generated using a respective loss-less or lossy compression technique.

### Claim 5 (depends on 1)

The method of claim 1, wherein for each compressed digital image, the compression ratio is calculated by dividing an uncompressed file size of the uncompressed image by a compressed file size of the compressed digital image.

### Claim 6 (depends on 1)

The method of claim 1, further comprising deleting the digital image.

### Claim 7 (depends on 1)

The method of claim 1, further comprising deleting the selected decompressed digital image.

### Claim 8 (depends on 1)

The method of claim 1, further comprising deleting each non-selected decompressed digital image and each associated compressed digital image.

### Claim 9

One or more computer readable non-transitory storage media embodying software that is operable when executed to:
receive a digital image;
perform an artificial intelligence (“AI”) diagnostic test on the digital image;
determine an uncompressed diagnostic result associated with the digital image based on the AI diagnostic test;
generate one or more compressed digital images by compressing the digital image, each compressed digital image having a respective compression ratio;
decompress each compressed digital image to generate a respective decompressed digital image;
perform the AI diagnostic test on each decompressed digital image;
determine a decompressed diagnostic result associated with each decompressed digital image based on the respective AI diagnostic test;
identify one or more decompressed digital images having a respective decompressed diagnostic result that is the same as the uncompressed diagnostic result;
select from the identified one or more decompressed digital images, the decompressed digital image associated with the highest compression ratio; and
store the compressed digital image associated with the selected decompressed digital image.

### Claim 10 (depends on 9)

The media of claim 9, wherein the digital record comprises a medical image record.

### Claim 11 (depends on 10)

The media of claim 10, wherein the medical image record comprises a Digital Imaging and Communications in Medicine (“DICOM”) Service-Object Pair Instance.

### Claim 12 (depends on 9)

The media of claim 9, wherein each compressed digital image is generated using a respective loss-less or lossy compression technique.

### Claim 13 (depends on 9)

The media of claim 9, wherein for each compressed digital image, the compression ratio is calculated by dividing an uncompressed file size of the uncompressed image by a compressed file size of the compressed digital image.

### Claim 14 (depends on 9)

The media of claim 9, further comprising deleting the digital image.

### Claim 15 (depends on 9)

The media of claim 9, further comprising deleting the selected decompressed digital image.

### Claim 16 (depends on 9)

The media of claim 9, further comprising deleting each non-selected decompressed digital image and each associated compressed digital image.

### Claim 17

A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:
receive a digital image;
perform an artificial intelligence (“AI”) diagnostic test on the digital image;
determine an uncompressed diagnostic result associated with the digital image based on the AI diagnostic test;
generate one or more compressed digital images by compressing the digital image, each compressed digital image having a respective compression ratio;
decompress each compressed digital image to generate a respective decompressed digital image;
perform the AI diagnostic test on each decompressed digital image;
determine a decompressed diagnostic result associated with each decompressed digital image based on the respective AI diagnostic test;
identify one or more decompressed digital images having a respective decompressed diagnostic result that is the same as the uncompressed diagnostic result;
select from the identified one or more decompressed digital images, the decompressed digital image associated with the highest compression ratio; and
store the compressed digital image associated with the selected decompressed digital image.

### Claim 18 (depends on 17)

The system of claim 17, wherein the digital record comprises a medical image record.

### Claim 19 (depends on 18)

The system of claim 18, wherein the medical image record comprises a Digital Imaging and Communications in Medicine (“DICOM”) Service-Object Pair Instance.

### Claim 20 (depends on 17)

The system of claim 17, wherein each compressed digital image is generated using a respective loss-less or lossy compression technique.

### Claim 21 (depends on 17)

The system of claim 17, wherein for each compressed digital image, the compression ratio is calculated by dividing an uncompressed file size of the uncompressed image by a compressed file size of the compressed digital image.

### Claim 22 (depends on 17)

The system of claim 17, further comprising deleting the digital image.

### Claim 23 (depends on 17)

The system of claim 17, further comprising deleting the selected decompressed digital image.

### Claim 24 (depends on 17)

The system of claim 17, further comprising deleting each non-selected decompressed digital image and each associated compressed digital image.