Algorithm for photonic needle console

• US 8,812,080 B2
• Filed: 06/07/2010
• Issued: 08/19/2014
• Est. Priority Date: 06/10/2009
• Status: Active Grant

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Nachabe, Rami, Hendriks, Bernardus Hendrikus Wilhelmus, Braun, Augustinus Laurentius, Van Der Voort, Marjolein, Desjardins, Adrien, Babic, Drazenko, Mihajlovic, Nenad
• Primary Examiner(s): Jung, Unsu
• Assistant Examiner(s): Lamprecht, Joel
• Application Number:
  US13/376,702
• Publication Number:
  US 20120088991A1
• Time in Patent Office: 1,534 Days
• Field of Search: None
• US Class Current: 600/424
• CPC Class Codes: A61B 17/3401 Puncturing needles for the peridural or subarachnoid space or the plexus, e.g. for anaesthesia local anaesthesia A61M19/00
• CPC Class Codes: A61B 17/3403 Needle locating or guiding means guides for suture needles A61B17/0482; guiding or tracking by nuclear magnetic resonance G01R33/285
• CPC Class Codes: A61B 2017/00199 with a console, e.g. a control panel with a display
• CPC Class Codes: A61B 2017/00225 Systems for controlling multiple different instruments, e.g. microsurgical systems
• CPC Class Codes: A61B 2034/2055 Optical tracking systems
• CPC Class Codes: A61B 2090/376 using X-rays, e.g. fluoroscopy
• CPC Class Codes: A61B 2090/3908 Soft tissue, e.g. breast tissue
• CPC Class Codes: A61B 2090/3945 Active visible markers, e.g. light emitting diodes
• CPC Class Codes: A61B 2562/08 Sensors provided with means for identification, e.g. barcodes or memory chips
• CPC Class Codes: A61B 34/20 Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
• CPC Class Codes: A61B 5/0066 Optical coherence imaging
• CPC Class Codes: A61B 5/0071 by measuring fluorescence emission
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• CPC Class Codes: A61B 5/0084 for introduction into the body, e.g. by catheters A61B5/1459 takes precedence
• CPC Class Codes: A61B 5/0091 for mammography
• CPC Class Codes: A61B 5/14503 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors A61B5/1459, A61B5/1464, A61B5/1473, A61B5/1482, A61B5/14865 take precedence
• CPC Class Codes: A61B 5/6848 Needles
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61B 6/467 characterised by special input means
• CPC Class Codes: A61B 6/469 : for selecting a region of interest [ROI]
• CPC Class Codes: A61B 6/545 : involving automatic set-up of acquisition parameters
• CPC Class Codes: A61B 8/0833 : involving detecting or locating foreign bodies or organic structures
• CPC Class Codes: A61B 8/461 : Displaying means of special interest
• CPC Class Codes: A61B 8/467 : characterised by special input means
• CPC Class Codes: A61B 8/469 : for selection of a region of interest
• CPC Class Codes: A61B 8/585 : Automatic set-up of the device
• CPC Class Codes: A61B 90/92 : coded with colour
• CPC Class Codes: A61B 90/96 : using barcodes
• CPC Class Codes: A61B 90/98 : using electromagnetic means, e.g. transponders
• CPC Class Codes: G16H 30/20 : for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 : for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Needles are widely used in interventional radiology. Each medical application requires a specific needle type. The same holds for the photonic needles which analysis depends on the type of application the clinician aims for. Therefore, it is relevant to have the X-ray machine recognize the type of needle that is being used and to load the required software for the tissue analysis. It is therefore proposed to have a data link established between the imaging modality used for the acquisition of the patient anatomy (X-ray, CT, MR or US) and the system that processes optical data from the needle, so that the information from this imaging modality can be used to guide the processing. In a preferred embodiment the selection is made by reading out the code present in the disposable needle when it is connected to the console.

Claims

1. A system for tissue inspection and for use in different interventions, the system comprising:

a console including a plurality of tissue analysis and classification algorithms for processing data from different types needle devices for use in the different interventions,

wherein each needle device is a distinct type for use in a distinct intervention; and

a needle device of a specific needle type for use in a specific intervention,

wherein the console is operatively connected to the needle device to execute one of the plurality of tissue analysis and classification algorithms depending on the specific intervention.

2. The system of claim 1, further comprising:

an imaging modality out of the group consisting of an X-ray device, a computer tomography device, a magnet resonance tomography device, and an ultrasound device,

wherein the console is operatively connected to the imaging module to select one of the plurality of tissue analysis and classification algorithms depending on data from the imagine modality corresponding to the specific intervention.

3. The system of claim 1, wherein the console is further operable to electronically, mechanically or optically authenticate the needle device for identifying the specific needle type of the needle device.

4. The system of claim 3, wherein the console is further operable to select one of the plurality of tissue analysis and classification algorithms depending on an authentication of the needle service.

5. The system of claim 1,

wherein the needle device includes an optical fiber for providing optical data corresponding to tissue adjacent a distal end of the optical fiber, and

wherein the distal end of the optical fiber is located at a distal tip of the needle device.

6. A console for use with different types of needle devices providing optical data and for use in different interventions, the console including a plurality of algorithms for processing data receivable from the needle devices,

wherein the plurality of algorithms include a different tissue analysis and classification algorithm for each type of needle device, and

wherein the console is operable to execute one of the plurality of tissue analysis and classification algorithms depending on a specific needle type connected to the console for use in a specific intervention.

7. The console of claim 6,

wherein the console is further operable to electronically, mechanically or optically authenticate a type of needle device connected to the console, wherein one of the plurality of tissue analysis and classification algorithms is selectable by the console depending on an authentication of the type of the needle device.

8. The console of claim 6, wherein the console is further operable to receive data from an imaging modality representing one of the different interventions, when the imaging modality is connected with the console, wherein one of the plurality of tissue analysis and classification algorithms is selectable depending on the received data.

9. The console of claim 6, wherein the console further comprises means for manually selecting one of the plurality of tissue analysis and classification algorithms for one of the different intervention.

10. The console of claim 6, wherein an executed tissue analysis and classification algorithm includes a spectral tissue analysis and a classification of the surrounding tissue at a distal tip of the needle device, which is based on an estimation of different optical properties including the scattering coefficient of an emitted light beam originating from the needle device which is reflected at surrounding tissue at a distal tip of the needle device and the absorption coefficient of different tissue chromophores including hemoglobin, oxygenated hemoglobin, water, fat and melanin.

11. The console of claim 6, wherein the console is further operable to provide information from one of the group consisting of reflectance spectroscopy, fluorescence spectroscopy, autofluorescence spectroscopy, differential path length spectroscopy, Raman spectroscopy, optical coherence tomography, light scattering spectroscopy, and multi-photon fluorescence spectroscopy.

12. The console of claim 6, wherein the console further comprises an interface for being connected to an imaging modality used for non-invasive acquisition of image data of a region of interest.

13. A software program encoded in a non-transitory computer-readable medium of a console for use with different needle devices providing optical data and for use in different interventions, the software program causes the console:

to identify one of the different interventions, and to select an algorithm for analyzing and classifying tissue surrounding a distal tip of the needle device, corresponding to the identified intervention.

14. The software program of claim 13, wherein the identification of one of the different interventions is based on a code representing a type of the needle device.

15. The software program of claim 13, wherein the identification of one of the different interventions is based on data provided by an imaging modality.