IP Library › Granted Patent US 11,284,846
Granted Patent B2
US 11,284,846 · App. 13/285,493 · Granted Mar 29, 2022

Method for localization and identification of structures in projection images

Inventors: Rainer Graumann (Hoechstadt, DE); Gerhard Kleinszig (Erlangen, DE); Yoshito Otake (Baltimore, MD); Jeffrey Siewerdsen (Baltimore, MD)
Assignees: The John Hopkins University; Siemens Aktiengesellschaft
A61B6/032A61B6/12A61B6/487A61B6/5235G06T7/32A61B6/4441A61B6/504A61B6/505A61B6/506G06T2207/10081G06T2207/10116G06T2207/10121G06T2207/10124G06T2207/30012
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Quick Facts
Patent No.
US 11,284,846
App. No.
13/285,493
Granted
Mar 29, 2022
Kind
B2
Abstract

A method for localization and identification of a structure in a projection image with a system having a known system geometry, includes acquiring a preoperative computer-tomography or CT image of a structure, preprocessing the CT-image to a volume image, acquiring an intraoperative two dimensional or 2D X-ray image, preprocessing the 2D X-ray image to a fix image, estimating an approximate pose of the structure, calculating a digitally reconstructed radiograph or DRR using the volume image, the estimated pose and the system geometry, and calculating a correlation between the generated DRR and the fix image, with a correlation value representing matching between the generated DRR and the fix image. The method significantly decreases the number of wrong-level surgeries and is independent of the surgeon's ability to localize and/or identify a target level in a body.

Claims (16)

1. A method for localization and identification of a vertebra with a system having a known system geometry, the method comprising the following steps:

a) acquiring a preoperative 3D computer-tomography (CT) image of a vertebra;

b) preprocessing the 3D CT image to generate a volume image by segmenting the vertebra in the 3D CT image;

c) acquiring an intraoperative two dimensional (2D) X-ray image;

d) preprocessing the 2D X-ray image to obtain a line integral of a linear attenuation coefficient from 2D image intensity values to generate a fixed image;

e) estimating an approximate pose of the vertebra;

f) calculating a digitally reconstructed radiograph (DRR) using:

the volume image,

the estimated approximate pose and

the system geometry;

g) comparing the calculated DRR and the fixed image by similarity measure based on gradient information;

h) updating the estimated approximate pose in order to increase the similarity measure;

i) repeating steps f) to h) until the similarity measure reaches a criterion of optimization and then displaying the estimated approximate pose to represent a localized and identified vertebra, wherein in each repetition of step f), the updated estimated approximate pose that was previously calculated in a most recent performance of step h) is used as the estimated approximate pose; and

j) overlaying the calculated DRR from a last repetition of step f) onto the fixed image in order to compute a location of the localized and identified vertebra within the fixed image, and displaying the location of the localized and identified vertebra within the fixed image.

2. The method according to claim 1 , wherein the calculated DRR is processed by a translation and/or rotation when repeating steps f) to g).

3. The method according to claim 1 , which further comprises acquiring the 2D X-Ray image or the 3D CT image with a C-arm device.

Assignments (3)
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE PREVIOUSLY RECORDED AT REEL: 066088 FRAME: 0256. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jan 17, 2024
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 071178/0246 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 20, 2023
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 066088/0256 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 14, 2011
From: GRAUMANN, RAINER; KLEINSZIG, GERHARD; OTAKE, YOSHITO; SIEWERDSEN, JEFFREY
To: THE JOHNS HOPKINS UNIVERSITY; SIEMENS AKTIENGESELLSCHAFT
Reel/Frame 027386/0552 →
Continuity (2)
Provisional Application 61485578 · May 12, 2011
Related Publication 20120289826A1 · Nov 15, 2012
Cited By (16)
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