Method for localization and identification of structures in projection images

Patent metadata

Field	Value
Publication number	US-11284846-B2
Application number	US-201113285493-A
Country	US
Kind code	B2
Filing date	Oct 31, 2011
Priority date	May 12, 2011
Publication date	Mar 29, 2022
Grant date	Mar 29, 2022

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.

First claim

The invention claimed is:

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.

Assignees

• Graumann Rainer
• Kleinszig Gerhard
• Otake Yoshito
• Siewerdsen Jeffrey
• Univ Johns Hopkins
• Siemens Ag

Inventors

• Graumann Rainer
• Kleinszig Gerhard
• Otake Yoshito
• Siewerdsen Jeffrey

Classifications

• G06T2207/30012

  Spine; Backbone · CPC title

• G06T2207/10121

  Fluoroscopy · CPC title

• A61B6/487

  involving fluoroscopy · CPC title

• A61B6/5235

  combining images from the same or different ionising radiation imaging techniques, e.g. PET and CT · CPC title

• G06T7/32

  using correlation-based methods · CPC title