Medical image processing apparatus

• US 8,724,869 B2
• Filed: 01/23/2012
• Issued: 05/13/2014
• Est. Priority Date: 09/01/2010
• Status: Active Grant

• Current Assignee: Toshiba Medical Systems Corporation (Canon Inc.)
• Original Assignee: Toshiba Medical Systems Corporation (Canon Inc.), Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Fujisawa, Yasuko, Funabasama, Shintaro, Maeda, Tatsuo
• Primary Examiner(s): Drennan, Barry
• Assistant Examiner(s): Mistry, Oneal R
• Application Number:
  US13/356,155
• Publication Number:
  US 20120121145A1
• Time in Patent Office: 841 Days
• Field of Search: None
• US Class Current: 382/128
• CPC Class Codes: A61B 6/507 for determination of haemodynamic parameters, e.g. perfusion CT
• CPC Class Codes: A61B 6/5217 extracting a diagnostic or physiological parameter from medical diagnostic data
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

An apparatus handles a series of medical images. A time density curve generation unit generates time density curves respectively corresponding to pixels from the series of medical images. An approximation processing unit approximates a convolution between a specific time density curve of the time density curves and each of types of kinetic models to each of the time density curves upon adjustment of at least one parameter which each of the kinetic models has. A suitability index map generation unit generates types of suitability index maps respectively corresponding to the types of kinetic models based on approximation errors respectively corresponding to the pixels, which are obtained by the approximation processing unit.

Claims

1. A medical image processing apparatus comprising:

a storage unit configured to store data of a series of medical images associated with an object;

a time density curve generation unit configured to generate a plurality of time density curves respectively corresponding to a plurality of pixels from the series of medical images;

an approximation processing unit configured to approximate a convolution between a specific time density curve of the time density curves and each of response functions respectively having shapes suited to types of kinetic models to each of the time density curves upon adjustment of at least one parameter which each of the kinetic models has; and

a suitability index map generation unit configured to generate a plurality of types of suitability index maps respectively corresponding to the plurality of types of kinetic models based on a plurality of approximation errors respectively corresponding to the plurality of pixels, which are obtained by the approximation processing unit.

2. The medical image processing apparatus of claim 1, wherein the plurality of types of kinetic models comprise a plurality of transfer functions respectively corresponding to a plurality of organs, and

each of the plurality of transfer functions is defined based on a relationship between an input of blood and an output of blood in a corresponding organ.

3. The medical image processing apparatus of claim 2, further comprising a perfusion map generation unit configured to generate a plurality of types of perfusion maps respectively corresponding to the plurality of kinetic models based on the parameters.

4. The medical image processing apparatus of claim 3, further comprising a perfusion map combining unit configured to generate a single perfusion map by cutting and pasting the plurality of types of perfusion maps based on the plurality of types of suitability index maps.

5. The medical image processing apparatus of claim 3, further comprising a high suitability index map generation unit configured to generate a high suitability index map representing a spatial distribution of highest suitability index values based on the plurality of types of suitability index maps.

6. The medical image processing apparatus of claim 5, wherein the high suitability index map generation unit generates a segment map indicating segments of the plurality of organs based on the high suitability index map.

7. The medical image processing apparatus of claim 6, wherein the segment map is superimposed and displayed on the signal perfusion map.

8. The medical image processing apparatus of claim 7, wherein the displayed perfusion map differs in display form for each segment in accordance with the segment map.

9. The medical image processing apparatus of claim 7, wherein a marker indicating a region exhibiting a suitability index value less than a threshold on the high suitability index map is superimposed on the display perfusion map.

10. The medical image processing apparatus of claim 7, wherein a portion, of the displayed perfusion map, which corresponds to a region exhibiting a suitability index value less than a threshold on the high suitability index map is set to non-display.

11. The medical image processing apparatus of claim 7, wherein a boundary line of the segment is superimposed on the segment map.

12. The medical image processing apparatus of claim 6, wherein at least one of the suitability index maps is displayed together with at least one of the perfusion maps.

13. A medical image processing apparatus comprising:

a storage unit configured to store data of a series of medical images associated with an object;

a time density curve generation unit configured to generate a plurality of time density curves respectively corresponding to a plurality of pixels from the series of medical images;

an approximation processing unit configured to approximate a convolution between each of a plurality of types of kinetic models and a standard time density curve to each of the plurality of time density curve upon adjustment of at least one parameter which each of the kinetic models has; and

a suitability index map generation unit configured to generate a plurality of types of suitability index maps respectively corresponding to the plurality of types of kinetic models based on an approximation error of the convolution.