Image enhancement system for bone disease evaluation

Patent metadata

Field	Value
Publication number	US-10445878-B2
Application number	US-201715590548-A
Country	US
Kind code	B2
Filing date	May 9, 2017
Priority date	May 9, 2017
Publication date	Oct 15, 2019
Grant date	Oct 15, 2019

Abstract

A standardized skeleton template is used to normalize medical image data of the skeleton to eliminate variations in the medical image data related to physiological variations in a normal patient thereby better accentuating disease conditions.

First claim

What we claim is:

1. A medical imaging system comprising:
patient image computer data storage holding patient image data of a skeletal structure of a patient, the patient image data describing points in space linked to properties of hone of the skeletal structure at those points;
template skeleton computer data storage holding template image data corresponding anatomically to the patient skeletal structure, the template image data describing points in space linked to parameters related to a property of bone of skeletal structure of a composite patient having predefined characteristics; and
an electronic computer executing a stored program to:
(a) register the template image data to the patient image data according to anatomical correspondence;
(b) modify the patient image data using the template image data to accentuate features in the patient image data reflecting differences between the skeletal structure of the patient and the skeletal structure of the composite patient; and
(c) display the modified patient image data accentuating differences between the skeletal structure of the patient and the skeletal structure of the composite patient having predetermined characteristics.

2. The medical imaging system of claim 1 wherein the modification of the patient image data is selected from the group consisting of: applying the parameters of the template image data as weighting factors to the patient image data and applying the parameters of the template image data in determining detection thresholds applied to the patient image data.

3. The medical imaging system of claim 1 wherein the properties of the patient image data are measures of radioactive tracer uptake and wherein the parameters of the template image data are functions of differences in uptake rate of radioactive tracers in the skeleton.

4. The medical imaging system of claim 1 wherein different bones of the skeletal structure of the composite patient provide different parameter values.

5. The medical imaging system of claim 1 wherein the template image data provides at least ten different parameter values.

6. The medical imaging system of claim 1 wherein the electronic computer further executes the stored program to identify at least one of number and size of lesions in the modified patient image data base.

7. The medical imaging system of claim 1 wherein the predefined characteristics are not having a predetermined disease and the composite patient represents an idealized patient not having the predetermined disease.

8. The medical imaging system of claim 1 wherein the composite patient represents a composite of at least ten patients having the predefined characteristics.

9. The medical imaging system of claim 1 wherein the registration first registers corresponding rigid bones of thy skeleton and then changes a dimension of the bones of the skeleton to provide a registration on a bone-by-bone basis.

10. The medical imaging system of claim 1 further including a medical imaging machine producing the patient image data and selected from the group consisting of an MRI machine, a PET scanner, a CT scanner, and a gamma camera.

11. The medical imaging system of claim 1 wherein the properties of the patient image data are measures of bone marrow amount and wherein the parameters of the template image data are bone marrow amount for the composite patient and wherein the modification of the patient image data normalizes the patient image data according to the bone marrow amount for the composite patient to accentuate deviations in hone marrow amount between the patient image data and the template image data.

12. The medical imaging system of claim 1 wherein the properties of the patient image data are measures selected from the group consisting of bone density, bone metabolism, bone lesions and bone turnover, and wherein the parameters of the template image data are selected from the group consisting of bone density, bone metabolism, bone lesions and bone turnover for the composite patient and wherein the modification of the patient image data normalizes the patient image data according to corresponding measures of the bone density, bone metabolism, bone lesions and bone turnover, of the composite patient to accentuate deviations in the corresponding measures of bone density, bone metabolism, bone lesions and bone turnover, amount between the patient image data and the template image data.

13. A method of analyzing skeletal images using a medical imaging system including:
patient image computer data storage holding patient image data of a skeletal structure of a patient, the patient image data describing points in space linked to properties of bone of the skeletal structure at those points;
template skeleton computer data storage holding template image data of an atomically corresponding structure to the patient skeletal structure, the template image data describing points in space linked to parameters related to a property of bone of a skeletal structure of a composite patient having predefined characteristics; and
an electronic computer executing a stored program to:
register the template image data to the patient image data according to anatomical structures;
modify the patient image data to accentuate differences between the patient image data and template image data of corresponding points in the registered template image data and patient image data; and
display the modified skeleton data accentuating differences between the skeletal structure of the patient and the skeletal structure of the composite patient having predetermined characteristics; the method comprising the steps of:
(a) obtaining patient image data of the skeletal structure of a patient for storage in the patient image computer data storage;
(b) creating template image data by combining patient image data of multiple patients having a common predefined characteristic for storage in the template skeleton computer data storage; and
employing the medical imaging system to:
(c) register the template image data to the patient image data according to anatomical structures;
(d) modify the patient image data using the template image data to accentuate features in the patient image data reflecting differences between the skeletal structure of the patient and the skeletal structure of the composite patient; and
(e) display the modified patient image data accentuating differences between the skeletal structure of the patient and the skeletal structure of the composite patient having predetermined characteristics.

14. The method of claim 13 wherein the properties of the patient image data are measures of radioactive tracer uptake and wherein the parameters of the template image data are thresholds of radioactive tracer uptake defining a level of radioactive tracer uptake required for display in the modified patient image data.

15. The method of claim 14 wherein the template image data provides at least ten different uptake rates.

16. The method of claim 13 wherein, the composite patient represents a composite of at least ten patients having the predefined characteristics.

17. The method of claim 13 including the step of having a healthcare professional review patient image data associated with each of the patients to identify lesions and determining a threshold measure of radioactive tracer uptake best identifying the lesions and wherein the electronic computer further executes the stored program to apply the threshold to the modified patient data to identify lesions based on tracer uptake as modified by uptake rates of the template image data.

Assignees

• Wisconsin Alumni Res Found

Inventors

• Jeraj Robert
• Bradshaw Tyler
• Perk Timothy

Classifications

• G06T2207/30008

  Bone · CPC title

• G06T7/0012 Primary

  Biomedical image inspection · CPC title

• G06T2207/20012

  Locally adaptive · CPC title

• G06T2207/30096

  Tumor; Lesion · CPC title

• G06T2207/10072

  Tomographic images · CPC title