Medical image processing apparatus and medical image processing method

Patent metadata

Field	Value
Publication number	US-2016267654-A1
Application number	US-201615066247-A
Country	US
Kind code	A1
Filing date	Mar 10, 2016
Priority date	Mar 10, 2015
Publication date	Sep 15, 2016
Grant date	—

Abstract

A medical image processing apparatus according to one embodiment includes obtaining circuitry, calculating circuitry, and transforming circuitry. The obtaining circuitry takes an expiration time phase or an inspiration time phase as a benchmark time phase and obtains a benchmark line structure, which is a line structure of a bronchus in a lung field, from a medical image at the benchmark time phase. The calculating circuitry calculates a motion amount between a component depicted in the medical image at the benchmark time phase and a component depicted in a medical image at at least one other time phase than the benchmark time phase. The transforming circuitry transforms the benchmark line structure based on the motion amount to obtain an estimated line structure, which is estimated as a line structure at the at least one other time phase.

First claim

What is claimed is:

1 . A medical image processing apparatus, comprising:
obtaining circuitry configured to take an expiration time phase or an inspiration time phase as a benchmark time phase and obtain a benchmark line structure, which is a line structure of a bronchus in a lung field, from a medical image at the benchmark time phase; calculating circuitry configured to calculate a motion amount between a certain component depicted in the medical image at the benchmark time phase and a certain component depicted in a medical image at at least one other time phase than the benchmark time phase; and transforming circuitry configured to transform the benchmark line structure based on the motion amount to obtain an estimated line structure, which is estimated as a line structure at the at least one other time phase.

2 . The medical image processing apparatus according to claim 1 , further comprising deciding circuitry configured to decide the medical image at the benchmark time phase, based on a dimension of the lung field depicted in a medical image.

3 . The medical image processing apparatus according to claim 1 , further comprising deciding circuitry configured to decide the medical image at the benchmark time phase, based on pixel values of the lung field depicted in a medical image.

4 . The medical image processing apparatus according to claim 3 , wherein the deciding circuitry calculates a mean lung density based on the pixel values, and decides the medical image at the benchmark time phase.

5 . The medical image processing apparatus according to claim 2 , wherein the deciding circuitry takes a maximal inspiration time phase or a maximal expiration time phase as the benchmark time phase, and decides the medical image at the benchmark time phase.

6 . The medical image processing apparatus according to claim 3 , wherein the deciding circuitry takes a maximal inspiration time phase or a maximal expiration time phase as the benchmark time phase, and decides the medical image at the benchmark time phase.

7 . The medical image processing apparatus according to claim 1 , wherein, when positions of prescribed key points on the estimated line structure is maintained based on the medical image at the at least one other time phase, the transforming circuitry repositions a central line of branches of the estimated line structure to a centers of the bronchus at the at least one other time phase.

8 . The medical image processing apparatus according to claim 1 , wherein, when positions of prescribed key points on the estimated line structure is maintained, the transforming circuitry smoothes the branches of the estimated line structure with the positions of key points on the estimated line structure maintained.

9 . The medical image processing apparatus according to claim 1 , further comprising comparing circuitry configured to determine whether the motion amount is no less than a certain threshold, wherein,
when the motion amount is no less than the certain threshold, the calculating circuitry performs a rigid registration between the medical image at the benchmark time phase and the medical image at the at least one other time phase, and then recalculates the motion amount.

10 . The medical image processing apparatus according to claim 9 , wherein
the obtaining circuitry further obtains a line structure of the bronchus in the lung field of the medical image at the at least one other time phase as a temporary line structure, the comparing circuitry compares the estimated line structure with the temporary line structure to calculate a similarity, and when the similarity is no less than a threshold, the transforming circuitry merges the estimated line structure with the temporary line structure to further generate a merged line structure, and takes the merged line structure as the line structure at the at least one time phase.

11 . The medical image processing apparatus according to claim 10 , wherein
when the similarity is less than the threshold, the calculating circuitry performs a local rigid registration on the specified branch of the bronchus in the lung field, and then recalculates a motion amount, the transforming circuitry further transforms the estimated line structure based on the recalculated motion amount, and the comparing circuitry again compares the further transformed estimated line structure with the temporary line structure to calculate a similarity, and repeatedly causes the calculating circuitry and the transforming circuitry to perform processing thereof until the calculated similarity becomes no less than the threshold.

12 . The medical image processing apparatus according to claim 1 , wherein the calculating circuitry calculates the motion amount by performing a registration between the medical image at the benchmark time phase and the medical image at the at least one other time phase.

13 . The medical image processing apparatus according to claim 1 , wherein the transforming circuitry transforms the benchmark line structure into the estimated line structure by assigning the benchmark line structure the motion amount corresponding thereto.

14 . The medical image processing apparatus according to claim 1 , wherein the obtaining circuitry obtains a reference line of the bronchus in the lung field as the line structure.

15 . The medical image processing apparatus according to claim 1 , wherein the obtaining circuitry obtains a region corresponding to the bronchus in the lung field as the line structure.

16 . The medical image processing apparatus according to claim 1 , wherein the medical images are three-dimensional (3D) medical images.

17 . The medical image processing apparatus according to claim 1 , further comprising:
concerning region extracting circuitry configured to extract images of the lung field as images of a concerning region from a medical images; and deciding circuitry configured to decide the medical image at the benchmark time phase, based on the concerning region depicted in the medical images.

18 . A medical image processing method comprising:
taking an expiration time phase or an inspiration time phase as a benchmark time phase and obtaining a benchmark line structure, which is a line structure of a bronchus in a lung field, from a medical image at the benchmark time phase; calculating a motion amount between a certain component depicted in the medical image at the benchmark time phase and a certain component in a medical image at at least one other time phase than the benchmark time phase; and transforming the benchmark line structure based on the motion amount to obtain an estimated line structure, which is estimated as a line structure at the at least one other time phase.

Assignees

• Toshiba Kk
• Toshiba Medical Sys Corp

Inventors

• Wang Yanli
• Plakas Costas
• Wang Yanhua
• Wang Shaobin
• Xu Minfeng
• Zhao Jianchun
• Chen Qi
• Razeto Marco

Classifications

• G06T2207/30172

  Centreline of tubular or elongated structure · CPC title

• G06T7/30 Primary

  Determination of transform parameters for the alignment of images, i.e. image registration · CPC title

• G06T7/20

  Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) · CPC title

• G06T7/0012 Primary

  Biomedical image inspection · CPC title

• A61B6/032

  Transmission computed tomography [CT] · CPC title