MRI Apparatus Automatic Heart Imaging Range Detection

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Solution Overview

Problem

Conventional MRI protocols face challenges in accurately setting the imaging range for cardiac examinations, particularly in covering the entire heart, due to individual variations in heart shape, position, and size, making it difficult even for skilled operators to ensure comprehensive imaging.

Innovation Solution

An MRI apparatus with an acquiring unit for three-dimensional image data, a detecting unit to identify the upper and lower end positions of the heart, and a deriving unit to automatically derive imaging ranges for subsequent imaging, such as multi-slice, sensitivity map, and shimming imaging, based on detected region information, facilitating precise and automatic setting of imaging parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual setting of imaging range is used, then operator can adjust parameters, but accuracy of heart coverage is insufficient due to individual variations

Engineering Contradiction:
Improveimaging range accuracyVSAvoidoperator burden
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically detects heart boundaries and calculates imaging ranges without operator intervention. The processor analyzes three-dimensional image data to identify heart regions and determines optimal imaging parameters autonomously, eliminating manual adjustment while maintaining accuracy.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts imaging parameters (field of view, slice positions, coverage ranges) based on detected heart characteristics. By changing parameters automatically according to individual heart anatomy, the system achieves precise coverage without manual operator input.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If standardized imaging protocol is used, then imaging process is simplified, but comprehensive heart coverage cannot be ensured

Engineering Contradiction:
Improveimaging efficiencyVSAvoidheart coverage completeness
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The imaging protocol transitions from static standardized parameters to dynamic adaptive parameters. The system adjusts imaging ranges and slice positions based on real-time detection of individual heart anatomy, maintaining efficiency while ensuring complete coverage for each patient.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system applies localized imaging parameters specific to each detected heart region rather than uniform standardized parameters. By tailoring imaging ranges to the actual spatial extent and position of each heart, comprehensive coverage is achieved without sacrificing protocol efficiency.

Inventive Principle:
Principle #3Local quality

3Loss of time

If manual adjustment of imaging parameters is required, then flexibility is maintained, but time consumption increases

Engineering Contradiction:
Improveparameter setting timeVSAvoidimaging range accuracy
Core Design Contradiction:
Loss of timeVSMeasurement precision

Solution Approach 1:

The system performs preliminary automatic detection of heart boundaries and calculation of imaging ranges before actual imaging begins. This preliminary automated parameter determination eliminates time-consuming manual adjustment while ensuring accurate imaging ranges are established in advance.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9746535B2Magnetic resonance imaging apparatus
Publication Date: 2017.08.29 TOSHIBA MEDICAL SYST CORP
  • US9746535B2 patent drawing
  • US9746535B2 patent drawing
  • US9746535B2 patent drawing

AI summary

A magnetic resonance imaging apparatus according to an embodiment includes an acquiring unit, a detecting unit, a deriving unit, and an imaging controller. The acquiring unit acquires three-dimensional image data including a target organ. The detecting unit detects an upper end position and a lower end position of the target organ in the three-dimensional image data. The deriving unit derives an imaging range of subsequent imaging performed after acquisition of the three-dimensional image data based on the upper end position and the lower end position of the target organ. The imaging controller controls performance of the subsequent imaging in accordance with the imaging range.