Hybrid dental imaging system with local area network and cloud

• US 9,917,898 B2
• Filed: 04/27/2015
• Issued: 03/13/2018
• Est. Priority Date: 04/27/2015
• Status: Active Grant

• Current Assignee: Dental Imaging Technologies Corporation (Envista Holdings Corporation)
• Original Assignee: Dental Imaging Technologies Corporation (Envista Holdings Corporation)
• Inventors: Keating, Robert E., Carlson, Bradley S., Spencer, Darryl Day
• Primary Examiner(s): Tsai, Tsung-Yin
• Application Number:
  US14/697,006
• Publication Number:
  US 20160316015A1
• Time in Patent Office: 1,051 Days
• CPC Class Codes: A61B 6/51 for dentistry
• CPC Class Codes: A61B 6/5205 involving processing of raw data to produce diagnostic data
• CPC Class Codes: G06T 11/005 Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
• CPC Class Codes: G06T 11/008 Specific post-processing after tomographic reconstruction, e.g. voxelisation, metal artifact correction
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04N 19/142 Detection of scene cut or scene change
• CPC Class Codes: H04N 19/172 the region being a picture, frame or field
• CPC Class Codes: H04N 19/50 using predictive coding H04N19/61 takes precedence

Abstract

Methods and systems for storing and accessing dental images. The system includes an imaging system for acquiring x-ray projection frames. The imaging system is connected to a local server through a local area network. A cloud server communicates with devices on the local area. The x-ray projection frames are transmitted from the imaging system to the local server. The local server stores the series of related x-ray projection frames according to a specified policy. In one embodiment, the x-ray projection frames are compressed into a compressed image data set using a modified video compression prediction algorithm customized for x-ray images. The x-ray image data (whether compressed or not) is transmitted to the cloud server for storage. The x-ray image data can be accessed from the cloud server by external devices and by other local area networks.

Claims

1. A method of processing x-ray data, the method comprising:

acquiring a plurality of x-ray projection frames of at least one object representing at least a portion of a patient, the plurality of x-ray projection frames including first and second frames; and

compressing the plurality of x-ray projection frames to generate a compressed data set, wherein the compressing includes predicting at least one pixel of the second frame based on at least one pixel of the first frame;

providing an x-ray source and an x-ray image detector;

the detector configured to output the first and second frames;

acquiring the first frame while the source and detector are at a first angle with respect to the patient; and

acquiring the second frame while the source and detector are at a second angle with respect to the patient;

wherein the first frame includes a first x-ray projection of at least one object within the patient;

wherein the second frame includes a second x-ray projection of the at least one object and wherein compressing the plurality of x-ray projection frames includes using at least the first and second angles to predict values of pixels representing the second x-ray projection in the second frame.

2. The method of claim 1 further comprising computing a three-dimensional volumetric data set from the compressed data set.

3. The method of claim 2, wherein computing a three-dimensional volumetric data set includes decompressing the compressed data set to generate a decompressed data set and computing the three-dimensional volumetric data set based on the decompressed data set.

4. The method of claim 1 wherein compressing the plurality of x-ray projection frames includes processing the first frame with a point spread function to predict the at least one pixel of the second frame.

5. A system for processing x-ray image data, the system comprising:

an imaging system configured to acquire x-ray image data, the x-ray image data including a plurality of x-ray frames, the plurality of x-ray frames including first and second frames; and

a codec configured to receive the x-ray image data from the imaging system and compress the plurality of x-ray projection frames to generate a compressed data set, wherein the compressing includes predicting at least one pixel of the second frame based on at least one pixel of the first frame;

providing an x-ray source and an x-ray image detector;

the detector configured to output the first and second frames;

acquiring the first frame while the source and detector are at a first angle with respect to the patient; and

acquiring the second frame while the source and detector are at a second angle with respect to the patient;

wherein the first frame includes a first x-ray projection of at least one object within the patient;

wherein the second frame includes a second x-ray projection of the at least one object and wherein compressing the plurality of x-ray projection frames includes using at least the first and second angles to predict values of pixels representing the second x-ray projection in the second frame.

6. The system as claimed in claim 5, the system further comprising a computer configured to generate a three-dimensional volumetric data set from the compressed data set.

7. The system of claim 6, wherein the computer is configured to decompress the compressed data set to generate a decompressed data set and compute a three-dimensional volumetric data set based on the decompressed data set.

8. The system of claim 6, wherein the imaging system includes:

an x-ray source; and

an x-ray image detector, the detector configured to output the first and second frames,

wherein the imaging system is configured to acquire the first frame while the source and the detector are at a first angle with respect to the patient, and to acquire the second frame while the source and detector are at a second angle with respect to the patient;

wherein the first frame includes a first x-ray projection of at least one object within the patient;

wherein the second frame includes a second x-ray projection of the at least one object; and

wherein the codec is configured to compress the plurality of x-ray projection frames by using at least the first and second angles to predict locations of pixels representing the second projection in the second frame.

9. The system of claim 5, wherein the codec is configured to compress the plurality of x-ray projection frames by processing the first frame with a point spread function to predict the at least one pixel of the second frame.