US5835619A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Method of processing a sectional image of a sample bone including a cortical bone portion and a cancellous bone portion
Assignee: Teijin Ltd
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Filing: 1997-03-27
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Granted: 1998-11-10
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Expires: 2017-03-27
Abstract
Abstract A binary image of a bone section is provided to be processed. A region of interest is provided on the binary image to produce a ROI image by extracting pixels corresponding to the bone portion from the binary image within the region of interest, onto which ROI image morphometry is carried out. A series of pixels which are on the center line extending along the cortical bone portion in the ROI image. A hemi-cortical bone image is produced by using the determined center line. The hemi-cortical bone image has a wall thickness substantially half of the real wall thickness of the cortical bone portion. A template image for the cortical bone portion is produced by executing expanding operations on the hemi-cortical bone image a predetermined number of times.
Inventors
- 👤 Kenji Morimoto
- 👤 Kanji Kurome
- 👤 Jiro Kita
- 👤 Tomohiro Oota
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-07 21:44
CPC Classifications
G; G06; G06T; G06T7/00; G06T7/0002; G06T7/0012; G06T7/10; G06T7/11; G06T7/60; G06T7/62; G06T7/66; G06T2207/00; G06T2207/10; G06T2207/10072; G06T2207/10081; G06T2207/30; G06T2207/30004; G06T2207/30008; G06T2207/30012
Claims Analysis
Total Claims: 23
Claim 1
Independent Claim
127 words
A method of processing a sectional bone image for a morphometry of a bone which includes a cortical bone portion and a cancellous bone portion, comprising the steps of: providing a binary image of a bone section; providing a subject region on the binary image to producing a ROI image by extracting pixels corresponding to the bone portion from the binary image within the subject region, onto which ROI image the morphometry is carried out; determining a series of pixels along the center line extending along the cortical bone portion in the ROI image; and providing a hemi-cortical bone image which has a wall thickness substantially half of the real wall thickness of the cortical bone portion by using the center line determined in the preceding step.
Claim 2
Independent Claim
127 words
A method of processing a sectional bone image for a morphometry of a bone which includes a cortical bone portion and a cancellous bone portion, comprising the steps of: providing a binary image of a bone section; providing a subject region on the binary image to producing a ROI image by extracting pixels corresponding to the bone portion from the binary image within the subject region, onto which ROI image the morphometry is carried out; determining a series of pixels along the center line extending along the cortical bone portion in the ROI image; and providing a hemi-cortical bone image which has a wall thickness substantially half of the real wall thickness of the cortical bone portion by using the center line determined in the preceding step.
Claim 3
Dependent Claim
40 words
The method of processing a sectional bone image according to claim 1, further comprising a step of providing a template image for the cortical bone portion by executing expanding operations on the hemi-cortical bone image a predetermined number of times.
Claim 4
Dependent Claim
40 words
The method of processing a sectional bone image according to claim 2, further comprising a step of extracting the common pixels between the ROI image and the template image to provide an image substantially corresponding to the cortical bone portion.
Claim 5
Dependent Claim
40 words
The method of processing a sectional bone image according to claim 3, further comprising a step of eliminating the image corresponding to the cortical bone image from the ROI image to provide an image corresponding to the cancellous bone portion.
Claim 6
Dependent Claim
39 words
The method of processing a sectional bone image according to claim 4, further comprising the step of executing a tensor analysis on the image corresponding to the cancellous bone portion to determine the structural anisotropy in the cancellous bone.
Claim 7
Dependent Claim
45 words
The method of processing a sectional bone image according to claim 2, further comprising a step of eliminating the pixels, which are common to the ROI image and the template image, from the ROI image to provide an image corresponding to the cancellous bone portion.
Claim 8
Dependent Claim
40 words
The method of processing a sectional bone image according to claim 6, further comprising a step of eliminating the image corresponding to the cancellous bone portion from the ROI image to provide an image corresponding to the cortical bone portion.
Claim 9
Dependent Claim
39 words
The method of processing a sectional bone image according to claim 6, further comprising the step of executing a tensor analysis on the image corresponding to the cancellous bone portion to determine the structural anisotropy in the cancellous bone.
Claim 10
Dependent Claim
39 words
The method of processing a sectional bone image according to claim 1, in which the series of pixels along the center line extending along the cortical bone portion is determined by executing a thinning process on the ROI image.
Claim 11
Dependent Claim
51 words
The method of processing a sectional bone image according to claim 1, in which the hemi-cortical bone image is provided by the steps of: executing a filling hole operation on the center line image to provide a solid image; and removing the pixels of the solid image from the ROI image.
Claim 12
Dependent Claim
125 words
A method of processing a sectional bone image according to claim 1, in which the binary image is of a vertebral body which includes a cortical bone portion and a cancellous bone portion, and the region of interest is provided by the steps of: determining the axis of inertia of the binary image of a vertebral body; determining pixels corresponding to the vertebral canal within the binary image of a vertebral body; determining a respective length relating to the extension of the vertebral canal; and providing a subject region on the binary image based on the representative length to extract pixels corresponding to the bone portion within the subject region whereby the region of interest is defined on the binary image by the extracted pixels.
Claim 13
Dependent Claim
76 words
A method of processing a sectional bone image according to claim 11, in which the step of determining the representative length includes steps of providing the smallest rectangle enclosing the pixels of the vertebral canal; determining a pair of fillet coordinates which are at the corners on one of the diagonals of the smallest rectangle enclosing the vertebral canal; and determining the distances between the axis of inertia and the fillet coordinates as the representative length.
Claim 14
Dependent Claim
68 words
A method of processing a sectional bone image according to claim 11, in which the step of determining the representative length includes steps of determining the maximum and minimum x and y coordinates of the pixels which belong to the vertebral canal; and determining the distances between the axis of inertia and the points defined by the maximum and minimum x and y coordinates as the representative length.
Claim 15
Dependent Claim
40 words
The method of processing a sectional bone image according to claim 11, further comprising a step of providing a template image for the cortical bone portion by executing expanding operations on the hemi-cortical bone image a predetermined number of times.
Claim 16
Dependent Claim
39 words
The method of processing a sectional bone image according to claim 11, in which a series of pixels along the center line extending along the cortical bone portion is determined by executing a thinning process on the ROI image.
Claim 17
Dependent Claim
129 words
The method of processing a sectional bone image according to claim 11, in which the hemi-cortical bone image is provided by the steps of: providing an operation region to enclose the ROI image so that the operation region including the largest and second largest background portion at the either side of the ROI image bounds the center line pixels; determining the largest and second largest backgrounds within the operation region; determining first pixels which are common with the largest hole image and the ROI image to provide a first hemi-cortical bone image; determining second pixels which are common with the second largest hole image and the ROI image to provide a second hemi-cortical bone image; and combining the first and second hemi-cortical images to provide the hemi-cortical bone image.
Claim 18
Dependent Claim
40 words
The method of processing a sectional bone image according to claim 11, further comprising a step of extracting the common pixels between the ROI image and the template image to provide an image substantially corresponding to the cortical bone portion.
Claim 19
Dependent Claim
40 words
The method of processing a sectional bone image according to claim 17, further comprising a step of eliminating the image corresponding to the cortical bone portion from the ROI image to provide an image corresponding to the cancellous bone portion.
Claim 20
Dependent Claim
39 words
The method of processing a sectional bone image according to claim 18, further comprising the step of executing a tensor analysis on the image corresponding to the cancellous bone portion to determine the structural anisotropy in the cancellous bone.
Claim 21
Dependent Claim
45 words
The method of processing a sectional bone image according to claim 11, future comprising a step of eliminating the pixels, which are common to the ROI image and the template image, from the ROI image to provide an image corresponding to the cancellous bone portion.
Claim 22
Dependent Claim
40 words
The method of processing a sectional bone image according to claim 20, further comprising a step of eliminating the image corresponding to the cancellous bone portion from the ROI image to provide an image corresponding to the cortical bone portion.
Claim 23
Dependent Claim
38 words
The method of processing a sectional bone image according to claim 20, further comprising the step of executing a tensor analysis on the image corresponding to the cancellous bone to determine the structural anisotropy in the cancellous bone.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2001-11-09 | 2002-05-11 | 2002-11-10 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2005-11-09 | 2006-05-11 | 2006-11-10 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2009-11-09 | 2010-05-11 | 2010-11-10 | $7700.00 | Window Closed / Lapsed |