18368329. METHOD FOR IDENTIFYING A CHANGE IN TRUNCATION, CONTROL FACILITY, CT APPARATUS, COMPUTER PROGRAM AND ELECTRONICALLY READABLE DATA CARRIER simplified abstract (Siemens Healthcare GmbH)

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METHOD FOR IDENTIFYING A CHANGE IN TRUNCATION, CONTROL FACILITY, CT APPARATUS, COMPUTER PROGRAM AND ELECTRONICALLY READABLE DATA CARRIER

Organization Name

Siemens Healthcare GmbH

Inventor(s)

Alois Regensburger of Poxdorf (DE)

Michael Manhart of Fürth (DE)

METHOD FOR IDENTIFYING A CHANGE IN TRUNCATION, CONTROL FACILITY, CT APPARATUS, COMPUTER PROGRAM AND ELECTRONICALLY READABLE DATA CARRIER - A simplified explanation of the abstract

This abstract first appeared for US patent application 18368329 titled 'METHOD FOR IDENTIFYING A CHANGE IN TRUNCATION, CONTROL FACILITY, CT APPARATUS, COMPUTER PROGRAM AND ELECTRONICALLY READABLE DATA CARRIER

Simplified Explanation

The invention relates to a method for identifying a change in truncation of an examination object between first projection photographs of the examination object generated by a CT apparatus, and second projection photographs of the examination object generated by the CT apparatus.

  • Receiving a first dataset, comprising the first projection photographs of the examination object.
  • Receiving a second dataset, comprising the second projection photographs of the examination object.
  • Correlating the first dataset with the second dataset.
  • Establishing the change in truncation of the examination object between the first projection photographs and the second projection photographs when satisfaction of at least one predefined change criterion between the datasets is captured.
  • Outputting a predetermined output signal when the change in truncation between the first projection photographs and the second projection photographs is established.

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      1. Potential Applications

This technology could be applied in the field of medical imaging to detect changes in the anatomy of patients between different scans, allowing for more accurate diagnosis and treatment planning.

      1. Problems Solved

This technology solves the problem of identifying changes in truncation of examination objects in CT scans, which can be crucial for detecting abnormalities or tracking disease progression.

      1. Benefits

- Improved accuracy in identifying changes in examination objects. - Enhanced diagnostic capabilities in medical imaging. - Streamlined workflow for radiologists and healthcare providers.

      1. Potential Commercial Applications

"CT Truncation Change Detection Technology in Medical Imaging"

      1. Possible Prior Art

Prior art in the field of medical imaging may include methods for image registration and comparison to detect changes in patient anatomy over time.

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        1. Unanswered Questions
      1. How does this technology impact patient outcomes in clinical practice?

This article does not delve into the specific implications of using this technology on patient care and treatment decisions.

      1. What are the limitations of this method in detecting subtle changes in truncation?

The article does not address the potential challenges or limitations of this technology in identifying minor changes in examination objects.


Original Abstract Submitted

The invention relates to a method for identifying a change in truncation of an examination object between first projection photographs of the examination object generated by a CT apparatus, and second projection photographs of the examination object generated by the CT apparatus, comprising the following steps to be carried out by a control facility. Receiving a first dataset, comprising the first projection photographs of the examination object; receiving a second dataset, comprising the second projection photographs of the examination object; correlating the first dataset with the second dataset; establishing the change in truncation of the examination object between the first projection photographs and the second projection photographs when satisfaction of at least one predefined change criterion between the datasets is captured; and outputting a predetermined output signal when the change in truncation between the first projection photographs and the second projection photographs is established.