ALGORITHM FOR PHOTONIC NEEDLE CONSOLE

• US 20120088991A1
• Filed: 06/07/2010
• Published: 04/12/2012
• Est. Priority Date: 06/10/2009
• Status: Active Grant

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Nachabe, Rami, Hendriks, Bernardus Hendrikus Wilhelmus, Braun, Augustinus Laurentius, Van Der Voort, Marjolein, Desjardins, Adrien, Babic, Drazenko, Mihajlovic, Nenad
• Granted Patent: US 8,812,080 B2
• Time in Patent Office: Days
• US Class Current: 600/310
• 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 (SY) for tissue inspection and for use in different interventions, the system comprising:

a needle device (N) include

a console (C) including a plurality of algorithms for processing data from the needle device,

wherein the needle device is connected with the console, and

wherein an algorithm is selectable depending on the intervention.

2. The system (SY) of claim 1, further comprising an imaging modality (IM) 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 imaging modality is connected with the console and wherein the console is adapted to process data from the imaging modality.

3. A needle device (N) for providing optical data, the needle device including an authentication means (AM) identifying the type of the needle device.

4. The needle device (N) of claim 3, wherein the authentication means (AM) is electronically, mechanically or optically readable.

5. The needle device (N) of claim 3, wherein the needle device further comprises an optical fiber for providing optical data corresponding to the tissue adjacent a distal end of the optical fiber, wherein the distal end of the optical fiber is located at a distal tip of the needle device.

6. A console (C) for use with a needle device providing optical data, and for use in different interventions, the console including a plurality of algorithms for processing data receivable from the needle device, wherein the plurality of algorithms include a tissue analysis and classification algorithm for each of the different interventions.

7. The console (C) of claim 6, wherein the console is adapted to electronically, mechanically or optically read an authentication means of the needle device representing a type of the needle device used in one of the different interventions, when the needle device is connected with the console, wherein one of the plurality of algorithms is selectable depending on the type of the needle device.

8. The console (C) of claim 6, wherein the console is adapted 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 algorithms is selectable depending on the information.

9. The console (C) of claim 6, wherein the console further comprises means for manually selecting one of the plurality of algorithms for one of the different intervention.

10. The console (C) of claim 6, wherein the 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 the 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 (C) of claim 6, wherein the console is adapted 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 (C) of claim 6, wherein the console further comprises an interface for being connected to an imaging modality (IM) used for non-invasive acquisition of image data of a region of interest.

13. A software program adapted to be executed on a console (C) for use with a needle device (N) 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 provided by an authentication means (AM) representing a type of the needle device (N).

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 (IM).