# US 2019/0172570 A1 · Providing a patient model of a patient

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- Number: US 2019/0172570 A1
- Document ID: US20190172570A1
- Status: Published application
- Kind: A1
- Application number: 16/202,405
- Filed: 2018-11-28
- Published: 2019-06-06
- Earliest claimed: 2017-12-01
- Assignees: Siemens Healthcare GmbH
- Applicants: Siemens Healthcare GmbH
- Inventors: Stefan POPESCU
- Web page: https://patentgrep.com/patent/US20190172570A1

## CPC

- G16H 10/60: for patient-specific data, e.g. for electronic patient records
- A61B 5/055: involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
- A61B 6/4417: {related to combined acquisition of different diagnostic modalities}
- A61B 90/00: Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups A61B1/00 - A61B50/00, e.g. for luxation treatment or for protecting wound edges
- A61B 90/37: {Surgical systems with images on a monitor during operation}
- A61N 5/1049: {for verifying the position of the patient with respect to the radiation beam}
- G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS
- G16H 30/40: for processing medical images, e.g. editing
- G16H 50/50: for simulation or modelling of medical disorders
- A61B 5/06: Devices, other than using radiation, for detecting or locating foreign bodies {; Determining position of diagnostic devices within or on the body of the patient}
- A61B 5/70: {Means for positioning the patient in relation to the detecting, measuring or recording means}
- A61B 6/504: {for diagnosis of blood vessels, e.g. by angiography}
- A61B 6/5247: {combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound}
- A61B 34/20: Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
- A61B 90/361: {Image-producing devices, e.g. surgical cameras}
- A61B 2034/105: {Modelling of the patient, e.g. for ligaments or bones}
- A61B 2090/364: {Correlation of different images or relation of image positions in respect to the body}
- G06T 7/33: using feature-based methods
- G06T 2207/10081: Computed x-ray tomography [CT]
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B)
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

A method includes receiving a first patient model of the patient, the first patient model being a multi-parametric patient model and the first patient model including a first image dataset of the patient, the first image dataset being coordinated relative to a patient coordinate system; receiving a second image dataset of the patient, the second image dataset being based on a medical imaging apparatus and being coordinated relative to a device coordinate system, the device coordinate system being a coordinate system relative to the medical imaging apparatus; determining a transformation function to transfer the device coordinate system into the patient coordinate system; determining a transformed second image dataset based on the second image dataset and the transformation function determined; and providing a second patient model of the patient, the second patient model being a multi-parametric patient model, and the second patient model including the second image dataset transformed.

## Claims

### Claim 1

A method for providing a patient model of a patient, comprising:
receiving a first patient model of the patient via an interface, the first patient model being a multi-parametric patient model and the first patient model including a first image dataset of the patient, the first image dataset being coordinated relative to a patient coordinate system;
receiving a second image dataset of the patient via the interface, the second image dataset being based on a medical imaging apparatus and being coordinated relative to a device coordinate system, the device coordinate system being a coordinate system relative to the medical imaging apparatus;
determining, via at least one of a processor and processing circuitry, a transformation function to transfer the device coordinate system into the patient coordinate system;
determining, via the at least one of the processor and processing circuitry, a transformed second image dataset based on the second image dataset and the transformation function determined; and
determining, via the at least one of the processor and processing circuitry, a modified first image dataset based on the first image dataset and the transformed second image dataset, the second patient model including the modified first image dataset determined, the determining of the modified first image dataset being based on segmentation of the first image dataset and segmentation of the transformed second image dataset; and
providing, via the interface, a second patient model of the patient, the second patient model being a multi-parametric patient model, and the second patient model including the transformed second image dataset.

### Claim at position 2

-3. (canceled)

### Claim 4 (depends on 1)

The method of claim 1, wherein the transformation function is based on a comparison of the first image dataset to the second image dataset.

### Claim 5 (depends on 1)

The method of claim 1, further comprising:
receiving a registration image, via the interface, the transformation function being based on the registration image received.

### Claim 6 (depends on 5)

The method of claim 5, wherein the registration image is a three-dimensional optical image of the patient, the three-dimensional optical image being recorded with an optical image recording unit and the optical image recording unit being arranged on the medical imaging apparatus.

### Claim 7 (depends on 1)

The method of claim 1, further comprising:
determining, via the at least one of the processor and processing circuitry, a patient-specific image-recording parameter based on the first image dataset;
providing the patient-specific image-recording parameter determined, via the interface.

### Claim 8 (depends on 1)

The method of claim 1, wherein the receiving of the second image dataset is performed after the determining of the transformation function and wherein the receiving of the second image dataset comprises:
receiving raw data, via the interface, wherein the raw data is based on an examination of the patient via the medical imaging apparatus,
determining, via the at least one of the processor and processing circuitry, a reconstruction constraint based on the first patient model; and
reconstructing, via the at least one of the processor and processing circuitry, the second image dataset based on the raw data and based on the reconstruction constraint.

### Claim 9 (depends on 1)

The method of claim 1, wherein the first image dataset is a template-image dataset and wherein the template-image dataset is selected based on a patient parameter of the patient.

### Claim 10 (depends on 1)

The method of claim 1, further comprising:
determining, via the at least one of the processor and processing circuitry, a second patient-specific exposure parameter based on the transformed second image dataset.

### Claim 11 (depends on 1)

The method of claim 1, wherein the second patient model comprises a hash value of the first patient model.

### Claim 12

A providing unit for providing a patient model, comprising:
an interface, embodied to
receive a first patient model of a patient, the first patient model being a multi-parametric patient model and including a first image dataset of a patient, and the first image dataset being coordinated relative to a patient coordinate system,
receive a second image dataset of the patient, the second image dataset being based on a medical imaging apparatus and bing coordinated relative to a device coordinate system, the device coordinate system being a coordinate system relative to a medical imaging apparatus, and
provide a second patient model of the patient, the second patient model being a multi-parametric patient model and including a transformed second image dataset; and
at least one of a processor and processing circuitry, embodied to
determine a transformation function to transfer the device coordinate system into the patient coordinate system, determine the transformed second image dataset based on the second image dataset and the transformation function, and
determine a modified first image dataset based on the first image dataset and the transformed second image dataset, the second patient model including the modified first image dataset determined, the modified first image dataset being determined based on segmentation of the first image dataset and segmentation of the transformed second image dataset.

### Claim 13

(canceled)

### Claim 14 (depends on 12)

A medical imaging apparatus embodied to provide the patient model comprising:
the providing unit of claim 12.

### Claim 15 (depends on 1)

A non-transitory computer program product storing a computer program, directly loadable into a memory of a processor, including program sections for carrying out the method of claim 1 when the program sections are executed by the processor.

### Claim 16 (depends on 1)

A non-transitory computer-readable storage medium storing program sections readable and executable by a processor, to carry out the method of claim 1 when the program sections are executed by the processor.

### Claim 17 (depends on 8)

The method of claim 8, wherein the determining, via the at least one of the processor and processing circuitry, of the reconstruction constraint based on the first patient model, includes determining the reconstruction constraint based on based on the first image dataset.

### Claim 18 (depends on 4)

The method of claim 4, further comprising:
determining, via the at least one of the processor and processing circuitry, a patient-specific image-recording parameter based on the first image dataset;
providing the patient-specific image-recording parameter determined, via the interface.

### Claim 19 (depends on 4)

The method of claim 4, wherein the receiving of the second image dataset is performed after the determining of the transformation function and wherein the receiving of the second image dataset comprises:
receiving raw data, via the interface, wherein the raw data is based on an examination of the patient via the medical imaging apparatus,
determining, via the at least one of the processor and processing circuitry, a reconstruction constraint based on the first patient model; and
reconstructing, via the at least one of the processor and processing circuitry, the second image dataset based on the raw data and based on the reconstruction constraint.

### Claim 20 (depends on 4)

The method of claim 4, wherein the first image dataset is a template-image dataset and wherein the template-image dataset is selected based on a patient parameter of the patient.

### Claim 21 (depends on 4)

The method of claim 4, further comprising:
determining, via the at least one of the processor and processing circuitry, a second patient-specific exposure parameter based on the transformed second image dataset.

### Claim 22 (depends on 4)

The method of claim 4, wherein the second patient model comprises a hash value of the first patient model.

### Claim 23 (depends on 4)

A non-transitory computer program product storing a computer program, directly loadable into a memory of a processor, including program sections for carrying out the method of claim 4 when the program sections are executed by the processor.

### Claim 24 (depends on 4)

A non-transitory computer-readable storage medium storing program sections readable and executable by a processor, to carry out the method of claim 4 when the program sections are executed by the processor.

### Claim 25 (depends on 13)

A medical imaging apparatus embodied to provide the patient model comprising:
the providing unit of claim 13.

### Claim 26

(canceled)