Abstract: The present invention relates to method for medical imaging, the method being characterized in that it comprises the implementation, by a data processor (11b) of a second server (1b), of steps of: (a) Obtaining at least one candidate pre-contrast image and a candidate contrast image respectively depicting a body part prior to and after an injection of a first dose of contrast agent, wherein said first dose is higher than a predetermined low dose, the predetermined reduced dose being lower than a predetermined standard dose; a convolutional neural network, CNN, being trained to reconstruct, from at least a pre-contrast input image and a low dose contrast input image respectively depicting a body part prior to and after an injection of said low dose of contrast agent, a standard dose contrast image depicting said body part after an injection of said standard dose of contrast agent; (b) Simulating an injection of a second dose of contrast agent which is higher than the standard dose, wherein said simulating comp

Abstract: An injection device (1) for delivering a medical fluid, comprising an interface module (4) configured to receive a syringe (6), the interface module (4) defining a reception space (40) adapted to receive a flange (12a) in the outer periphery of a barrel (10) of the syringe (6), a drive member (8) configured to couple a piston of the syringe, and to translate along a longitudinal axis (X). The interface module (4) comprises a lateral opening (46) defined between two supporting members (50) of the interface module (4) and extending radially in a first radial direction from the longitudinal axis (X), said lateral opening (46) adapted for a radial translation of the syringe (6) in the first radial direction to a loaded position in which the flange (12a) of the syringe (6) is received in the reception space and the barrel (10) of the syringe (6) extends along the longitudinal axis (X).

Abstract: The present invention relates to a complex of formula (II) constituted of at least 90% of a diastereoisomeric excess comprising a mixture of isomers II-RRR and II-SSS of formulae: The present invention also relates to a process for preparing and purifying said complex of formula (II), and also to a composition comprising said complex.

Abstract: The present invention relates to a method for processing at least a pre-contrast image depicting a body part prior to an injection of contrast agent, the method being characterized in that it comprises the implementation, by a data processor (11b) of a second server (1b), of steps of: (a) Obtaining said pre-contrast image; (b) Determining, by application of a prediction model to said pre-contrast image candidate value(s) of at least one injection parameter of said injection of contrast agent, such that the sequence of said pre-contrast image and at least a contrast image depicting said body part during injection of contrast agent in accordance with the determined candidate value(s) of said injection parameter(s) minimizes a radiation dose.

Abstract: The present invention relates to a method for generating at least one contrast tomogram depicting a target body part during an injection of contrast agent, the method being characterized in that it comprises the implementation, by a data processor (11b) of a second server (1b), of steps of: (a) Obtaining a pre-contrast tomogram of said target body part prior to the injection of contrast agent, and raw projection data acquired over a limited rotation angle span during the injection of contrast agent; (b) Segmenting said target body part on the pre-contrast tomogram; (c) Generating the contrast tomogram, by application of a tomosynthesis reconstruction model to said segmented pre-contrast tomogram and the obtained raw projection data.

Abstract: The present invention relates to a process for preparing the 2-bromoglutaric acid diester of formula (I) below: comprising the formation of the 2-hydroxyglutaric acid diester of formula (II) by reaction of butyrolactone acid of formula (BA) with the alcohol of formula ROH, in the presence of an acid such as sulfuric acid; and bromination of the 2-hydroxyglutaric acid diester of formula (II), by sparging with gaseous hydrobromic acid. The present invention also relates to a 2-bromoglutaric acid diester of formula (I), having a degree of purity determined by HPLC analysis of greater than or equal to 90%.

Abstract: The present invention relates to a method for processing an inputted perfusion sequence, by means of a convolutional neural network, CNN, the method being characterized in that it comprises the implementation, by a data processor (11b) of a second server (1b), of steps of: (b) extracting, using an encoder branch of the CNN, a plurality of initial n+1-dimensional features maps representative of the inputted perfusion sequence at different scales, n?3, said CNN further comprising a decoder branch and skip connections between the encoder branch and the decoder branch, each skip connection projecting the initial n+1-dimensional features maps into initial n-dimensional feature maps; (c) generating, using said decoder branch of the CNN, a plurality of enriched n-dimensional feature maps also representative of representative of the inputted perfusion sequence at different scales, each enriched n-dimensional feature map incorporating the information from the initial n-dimensional feature maps of smaller or equal scal

Abstract: The present invention relates to a method for processing at least a pre-contrast image depicting a body part prior to an injection of contrast agent, the method being characterized in that it comprises the implementation, by a data processor (11b) of a second server (1b), of steps of: (a) Obtaining said pre-contrast image; (b) Determining candidate value(s) of at least one injection parameter of said injection of contrast agent by application of a prediction model to said pre-contrast image, such that a theoretical contrast image depicting said body part during injection of contrast agent in accordance with the determined candidate value(s) of said injection parameter(s) is expected to present a target quality level.

Abstract: The present invention relates to an embolizing emulsion comprising iodinated oil and an aqueous phase comprising a water-soluble contrast agent for use in the treatment of inflammatory hypervascularization associated with a musculoskeletal disorder.

Abstract: An injection device (1) for injecting a medical liquid, comprising: —a piston (6) arranged within an inner space (4) delimiting an upper space (4b) and a lower space (4a), —an evacuation path, said evacuation path traversing the piston (6) the lower space (4a) to the upper space (4b) of the inner space, —a selector (24) between a lower portion (17a) and an intermediate portion (17b) of the evacuation path, configured for selectively allowing the gas to go through and preventing the medical liquid from going through said selector (24, 50, 60), —a purge valve (22) between between a blocking and a passing configuration which requires an overpressure in the intermediate portion (17b) caused by the piston (6) travelling towards the lower end of the body (2).

Abstract: The present invention relates to a process for preparing the macrocyclic ligand of formula (L) below: involving: i) decomplexation of the complex of formula (II): constituted of at least 80% of a diastereoisomeric excess comprising a mixture of isomers II-RRR and II-SSS of formulae: ii) removing the gadolinium salt formed in step i), for example by filtration, and ii) recovering the free macrocyclic ligand of formula (L). The present invention also relates to a composition comprising the diastereoisomerically enriched complex of formula (II) and the macrocyclic ligand of formula (L).

Abstract: A medical container assembly is disclosed having an adapter assembly that fluidly connects with a medical container having a volume of medical fluid to accommodate multiple injections. The adapter assembly includes a spike assembly (300) that fluidly connects with the medical container, along with a spike interface cover (200) that detachably connects with the spike assembly (300). Features are incorporated by the spike assembly (300) to reduce the potential that the spike assembly (300) will be used with multiple medical containers. The spike interface cover (200) is detachably connected with the spike assembly (300) and includes features that allows the spike interface cover (200) to be used with a spike assembly (300) installed on one container, and to thereafter allow this same spike interface cover (200) to be used with another spike assembly (300) installed on another container.

Abstract: The present invention relates to a process for preparing the 2-bromoglutaric acid diester of formula (I) below: comprising the formation of the 2-hydroxyglutaric acid diester of formula (II) by reaction of butyrolactone acid of formula (BA) with the alcohol of formula ROH, in the presence of an acid such as sulfuric acid; and bromination of the 2-hydroxyglutaric acid diester of formula (II), by sparging with gaseous hydrobromic acid. The present invention also relates to a 2-bromoglutaric acid diester of formula (I), having a degree of purity determined by HPLC analysis of greater than or equal to 90%.

Abstract: A mechanism is provided for seed relabeling for seed-based slice-wise lesion segmentation. The mechanism receives a lesion mask for a three-dimensional medical image volume. The lesion mask corresponds to detected lesions in the medical image volume and wherein each detected lesion has a lesion contour. The mechanism generates a distance map for a given two-dimensional slice in the medical image volume based on the lesion mask. The distance map comprises a distance to a lesion contour for each voxel of the given two-dimensional slice. The mechanism performs local maxima identification to select a set of local maxima from the distance map such that each local maximum has a value greater than its immediate neighbor points. The mechanism performs seed relabeling based on the distance map and the set of local maxima to generate a set of seeds. Each seed represents a center of a distinct component of a lesion contour.

Abstract: Mechanisms are provided to implement an automated medical image processing pipeline selection (MIPPS) system. The MIPPS system receives medical image data associated with a patient electronic medical record and analyzes the medical image data to extract evidence data comprising characteristics of one or more medical images in the medical image data indicative of a medical image processing pipeline to select for processing the one or more medical images. The evidence data is provided to a machine learning model of the MIPPS system which selects a medical image processing pipeline based on a machine learning based analysis of the evidence data. The selected medical image processing pipeline processes the medical image data to generate a results output.

Abstract: A lesion detection and classification artificial intelligence (AI) pipeline comprising a plurality of trained machine learning (ML) computer models is provided. First ML model(s) process an input volume of medical images (VOI) to determine whether VOI depicts a predetermined amount of an anatomical structure. The AI pipeline determines whether criteria, such as a predetermined amount of an anatomical structure of interest being depicted in the input volume, are satisfied by output of the first ML model(s). If so, lesion processing operations are performed including: second ML model(s) processing the VOI to detect lesions which correspond to the anatomical structure of interest; third ML model(s) performing lesion segmentation and combining of lesion contours associated with a same lesion; and fourth ML models processing the listing of lesions to classify the lesions. The AI pipeline outputs the listing of lesions and the classifications for downstream computing system processing.

Abstract: A lesion detection ensemble machine learning model architecture comprising a plurality of trained machine learning (ML) computer models is provided. A first decoder of a lesion detection ML model processes a medical image input to generate a first lesion mapping prediction. A second decoder of the lesion detection ML model processes the medical image input to generate a second lesion mapping prediction. Combinational logic combines the first and second lesion mapping predictions to generate a combined prediction. Final lesion mapping output logic generates a final lesion prediction based on the combined lesion mapping prediction. The final lesion mapping output logic outputs the final lesion prediction for further downstream computing operations. The first decoder is trained with a first loss function that is configured to counterbalance a training of the second decoder that is trained using a second loss function different from the first loss function.

Abstract: A false positive removal engine is provided. The false positive removal engine receives detected objects in one or more images. A machine learning classifier computer model, configured with first operational parameters to implement a first operating point, processes the received input to classify each detected object as being a true positive or a false positive to generate a first set of object classifications. If the first set is empty, the false positive removal engine outputs the first set as a filtered list of objects; otherwise the ML classifier computer model is configured with second operational parameters to implement a second operating point, different from the first operating point, which then processes the received input to classify each detected object and generate a second set of objects classified as true positive, which is output by the false positive removal engine as the filtered list of objects.

Abstract: The present invention relates to a complex of formula (II) constituted of at least 90% of a diastereoisomeric excess comprising a mixture of isomers II-RRR and II-SSS of formulae: The present invention also relates to a process for preparing and purifying said complex of formula (II), and also to a composition comprising said complex.

Abstract: A syringe comprising: a body delimiting a chamber; a piston able to slide in the chamber of the body along a longitudinal axis of the syringe, wherein the piston comprises a rod, a head, and a finger rest, which are all in one piece; and a deformable retention device designed to prevent the piston from leaving the body entirely, wherein the retention device is force-fitted in the chamber, extends around the piston over an angular sector strictly greater than 180° when it is in the assembled position, and has protruding external ribs which extend parallel to the longitudinal axis and are plastically deformable when the retention device is assembled in the chamber.