Automatic region of interest locator for AP spinal images and for hip images in bone densitometry

1. A method of automatically determining a region of interest in hip scan data from a bone densitometer, comprising:

computer-analyzing greyscale anterior-posterior projective image data of the hip of a patient taken with an x-ray bone densitometer to automatically, without necessitating user intervention, identify a global region that includes both soft tissue and bone and encompasses at least the femoral neck, trochanter and inter-trochanter portions of the patient's hip;

computer-processing at least some of said image data to the extent related to the global region to identify, without necessitating user intervention, one or more sub-regions of interest selected from the femoral neck, trochanter and the inter-trochanter; and

further computer-processing at least some of the image data to the extent related to the identified one or more sub-regions to obtain one or more site-specific estimates of bone mineral density data for the identified sub-regions for use in assessing fracture risk.

2. A method comprising:

computer-analyzing grayscale, anterior-posterior, in-vivo, projective image data of the hip of a patient taken with a dual-energy bone densitometer to identify a global region of interest that contains both soft tissue and bone;

computer-processing data functionally related to said image data obtained with the densitometer to (a) automatically identify, without necessitating user intervention, a global region of interest, and (b) automatically identify, without necessitating user intervention, one or more sub-regions of interest that are related to the global region and have selected positions with respect to selected bone anatomical features represented in said image data; and

further computer-processing data functionally related to the image data obtained with the densitometer and pertaining to one or more of the sub-regions to derive site-specific estimates of bone mineral density related to bone present the one or more of the sub-regions for use in assessing future fracture risk for the patient.

3. A method as in claim 2 in which the one or more automatically identified sub-regions of interest comprise a sub-region encompassing a selected portion of a femoral neck represented in the image data.

4. A method as in claim 2 in which the computer-processing to identify the sub-regions comprises of pixel values to identify a centerline of a femur represented in the image data.

5. A method as in claim 2 including manually adjusting selected parameters of the global region following the automatic identification thereof.

6. A method as in claim 2 including manually adjusting selected parameters of the one or more sub-regions following the automatic identification thereof.

7. A method as in claim 2 including manually adjusting selected parameters of the global region and of one or more of the sub-regions following the automatic identification thereof.

8. A method of deriving information for assessing risk of bone fracture for a patient, comprising:

obtaining in-vivo hip image data with a bone densitomer, said image data representing both regions of soft tissue and regions of bone;

computer-processing the image data to automatically, without necessitating user intervention, identify at least one region of interest that includes both soft tissue and at least a portions of one or more of a femoral neck, trochanter, and inter-trochanter represented in the hip image data;

further computer-processing data functionally related to said image data to automatically, without necessitating human intervention, obtain at least one site-specific estimate of bone mineral density, said site-specific estimate being for a selected portion of bone anatomy represented in the image.

9. A method as in claim 8 in which the region of interest comprises the femoral neck and adjacent soft tissue.