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Three-dimensional tracking of a target in a body

A three-dimensional tracking and target technology, which is applied in the directions of instruments for radiological diagnosis, treatment, and image enhancement, and can solve the problems of large tracking uncertainty in tumor tracking.

Active Publication Date: 2020-09-22
利奥癌症治疗公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For this reason, tumor tracking using X-ray imaging suffers from large tracking uncertainties

Method used

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  • Three-dimensional tracking of a target in a body
  • Three-dimensional tracking of a target in a body
  • Three-dimensional tracking of a target in a body

Examples

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example 1

[0118] Example 1: Patient Data

[0119] The proposed method was retrospectively validated on a total of 13 clinical cases from two different sets of patient data:

[0120] (i) CBCT cases (11 cases): CBCT projections from an NCI-sponsored trial in patients with locally advanced lung cancer. This dataset was described in a previous publication (Shieh C C, Keall P J, Kuncic Z, Huang C Y, and Feain I, 2015, Markerless tumor tracking using short kilovoltage imaging arcs for lungimage-guided radiotherapy Phys. Med. Biol. 60(24), 9437) are included and described. More details about the dataset can be found in Roman and others (Roman N O, Shepherd W, Mukhopadhyay N, Hugo G D, and Weiss E, 2012, Interfractional positional variability of fiducial markers and primary tumors in locally advanced non-small-cell lung cancer during audiovisual biofeedback radiotherapy Int. J. Radiat. Oncol. 83(5), 1566–1572).

[0121] (ii) SABR cases (2 cases): kV images during MV beam irradiation fr...

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Abstract

Disclosed is a method and system for three-dimensional tracking of a target located within a body, the method performed using at least one processing system. A two-dimensional scanned image of the body including the target is processed to obtain a two-dimensional image of the target. A first present dataset of the target is predicted using a previous dataset of the target and a state transition model, the first present dataset includes a three- dimensional present position value of the target. A second present dataset of the target is measured by template-matching of the two-dimensional imageof the target with a model of the target. A third present dataset of the target is estimated by statistical inference using the first present dataset and the second present dataset. The previous dataset of the target is updated to match the third present dataset.

Description

technical field [0001] The present invention relates generally to systems and / or methods or processes for tracking objects, and more particularly to systems and / or methods or processes for three-dimensional tracking of objects located in the body. In a further specific example, a system and / or method or process for markerless tracking of a target in three dimensions is formed or provided using a two-dimensional image of the target. Background technique [0002] Lung tumor motion is clinically important and unpredictable. Tumor motion is a major challenge for accurate beam targeting of tumors during lung cancer radiotherapy. There is currently no technology capable of directly tracking tumor motion in three dimensions during treatment. [0003] Current motion management techniques rely on pre-treatment imaging techniques such as four-dimensional computed tomography (4D-CT) and four-dimensional cone-beam computed tomography (4D-CBCT), which May not actually represent actual...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61N5/10
CPCA61N5/1049A61N5/1067A61N5/107A61N5/1037A61N2005/1061A61B6/486A61B6/032A61B6/4085A61B6/5217A61B6/5241A61B6/5264G06T7/277G06T7/75G06T7/0016G06T2207/10076G06T2207/10116G06T2207/30061G06T2207/30096G06F18/29
Inventor I.菲因C-C.谢M.邓巴
Owner 利奥癌症治疗公司