METHOD AND SYSTEM FOR DETERMINING AN OPTIMAL INSERTION SEGMENT IN A BLOOD VESSEL OF A PATIENT

Abstract

Method for determining at least one optimal insertion segment (810a, 810b, 810c, 810d) in a limb of a patient for inserting a needle into a vein of the patient, said segment (810a, 810b, 810c, 810d) being representative of an insertion point (820a, 820b, 820c, 820d), an insertion direction and a maximum insertion length, comprising a step of near-infrared illumination of the limb of the patient, a step of acquiring near-infrared images of the limb of the patient, a step of pre-processing the acquired images to obtain an image of the veins, a step of applying a linear structure detection filter to said image of the veins to obtain a vascular profile map, a step of binarizing the vascular profile map, a step of skeletonising the veins, a step of defining insertion segments from the skeletons of the veins, a step of classifying the insertion segments according to predetermined classification parameters.

Description

Claims

1. A method for determining at least one optimal insertion segment in a blood vessel of a patient for inserting a needle into said blood vessel, said segment being representative of an insertion point in a part of the body of the patient, an insertion direction and a maximum insertion length, comprising the following steps: a step of illuminating the part of the body of the patient with near-infrared illumination,a step of acquiring near-infrared images of the part of the body of the patient with at least one camera,a step of pre-processing the acquired images to obtain an image of the blood vessels visible on the surface of the part of the body of the patient, referred to as pre-processed image,a step of applying a linear structure detection filter to said pre-processed image to obtain an image, referred to as vascular profile map, which identifies the blood vessels visible on the surface of the part of the body of the patient,a step of binarizing the vascular profile map,a step of skeletonising the blood vessels on the binarized vascular profile map, configured to obtain, for each blood vessel, a skeleton of said blood vessel,a step of defining insertion segments from said skeletons of the blood vessels, for each blood vessel,a step of classifying the insertion segments according to predetermined classification parameters, so as to identify one or more optimal insertion segments.

2. The method as claimed in claim 1, wherein the predetermined classification parameters for classifying the insertion segments are selected from one or more parameters from the following list: the location of the segment with respect to a known pattern of positions of blood vessels on the part of the body of the patient;the average density of all of the points of the blood vessel included within contours of the blood vessel corresponding to the segment, calculated on the vascular profile map;the length of the segment;the depth of the blood vessel in the segment;the diameter of the blood vessel in the segment;the orientation of the segment;the presence or absence of irregularities on the skin on the insertion segment;a preference of the patient;a previous insertion history for the same patient.

3. The method of claim 1 as, wherein the linear structure detection filter is a Frangi filter.

4. The method method of claim 1, wherein the step of defining insertion segments from the skeletons of the blood vessels comprises: a sub-step of creating a node for each point of each skeleton;a sub-step of characterising each node to form a graph, a node being a terminal point if it is connected to only a single node, a branch being formed from a set of nodes connected together having only two neighbouring nodes, each branch being weighted by the number of nodes which form it;a sub-step of verifying each graph by comparing each branch with the corresponding blood vessel on the binarized image;a sub-step of correcting each non-centred branch on the corresponding blood vessel by dividing the branch into new branches and creating junction nodes between each of the new branches;a sub-step of defining segments, one segment corresponding to a branch centred on its corresponding blood vessel and having a length greater than a predetermined parameter.

5. The method method of claim 1, wherein the camera is monochromatic and equipped with a near-infrared high-pass filter.

6. A system for determining at least one optimal insertion segment in a blood vessel of a patient for inserting a needle into said vessel, said segment being representative of an insertion point in a part of the body of the patient, an insertion direction and a maximum insertion length, comprising a unit for acquiring images of the part of the body of the patient and a unit for processing the images acquired by said image acquiring unit, wherein said image acquiring unit comprises: near-infrared illumination configured to illuminate the part of the body of the patient with near-infrared illumination, andat least one camera configured to acquire near-infrared images of the part of the body of the patient,and in that the image processing unit comprises: a module for pre-processing images configured to be able to provide an image of the blood vessels visible on the surface of the part of the body of the patient, referred to as pre-processed image,a module for filtering, configured to apply a linear structure detection filter to said pre-processed image to obtain an image, referred to as vascular profile map, which identifies the blood vessels visible on the surface of the part of the body of the patient,a module for binarizing the vascular profile map,a module for skeletonising the blood vessels on the binarized vascular profile map, in order to obtain, for each blood vessel, a skeleton of said blood vessel,a module for defining insertion segments from said skeletons of the blood vessels, for each blood vessel, anda module for classifying the insertion segments according to predetermined classification parameters, configured to identify one or more optimal insertion segments.

7. The system as claimed in claim 6, wherein the camera is monochromatic and equipped with a near-infrared high-pass filter.

8. An automatic or semi-automatic insertion machine for the insertion of a needle into a part of the body of a patient, comprising a mechatronic assembly, a unit for controlling said mechatronic assembly, and an insertion head for a needle mounted on the mechatronic assembly, the machine further comprising a determining system, configured to determine an optimal insertion segment for inserting the needle into the part of the body of the patient the determining system comprising: near-infrared illumination configured to illuminate the part of the body of the patient with near-infrared illumination, andat least one camera configured to acquire near-infrared images of the part of the body of the patient,and in that the image processing unit comprises: a module for pre-processing images configured to be able to provide an image of the blood vessels visible on the surface of the part of the body of the patient, referred to as pre-processed image,a module for filtering, configured to apply a linear structure detection filter to said pre-processed image to obtain an image, referred to as vascular profile map, which identifies the blood vessels visible on the surface of the part of the body of the patient,a module for binarizing the vascular profile map,a module for skeletonising the blood vessels on the binarized vascular profile map, in order to obtain, for each blood vessel, a skeleton of said blood vessel,a module for defining insertion segments from said skeletons of the blood vessels, for each blood vessel, anda module for classifying the insertion segments according to predetermined classification parameters, configured to identify one or more optimal insertion segments.