18 results about "Slice thickness" patented technology

This invention provides a method and system for monitoring and adaptively calibrating the blade condition of a hawthorn slicer based on multi-sensor fusion. It collects spindle motor current signals, blade holder vibration acceleration signals, and slice images, and extracts feature values. When the vibration feature value changes abruptly and the current feature value decreases simultaneously, blade breakage is detected, triggering an emergency stop. If breakage is not detected, the average current trend is monitored to generate a wear warning. Visual acquisition is initiated according to preset conditions to obtain the actual slice thickness. Using a pre-calibrated mapping relationship between slice thickness and current and vibration feature values, the threshold compensation amount is calculated in reverse based on the thickness deviation, adaptively correcting the detection threshold. This invention reduces the false blade breakage rate, achieves proactive wear warning, compensates for sensor drift, and ensures a high slice yield.

The invention relates to a system and method for controlling a slice thickness when obtaining a 3D tomographic image of an inspection volume in a semiconductor wafer, the method comprising: depositing a marker structure (66) on the wafer surface (32), alternatingly: exposing a cross-section surface (48) in the inspection volume by milling into the inspection volume and the marker structure (66) with a focused ion beam (34) in a focused ion beam system (24), wherein a current position of the focused ion beam (34) is repeatedly derived from a cross-section of the marker structure (66), wherein the cross-section of the marker structure (66) is determined by measuring numbers and / or types of secondary particles released during milling, and wherein the milling is stopped when the current position reaches a desired position; and imaging the cross-section surface (48).

The utility model belongs to the technical field of traditional Chinese medicinal material processing, particularly relates to gastrodia elata slicing thickness adjusting equipment, and aims to solve the problems of non-uniform slicing thickness, low efficiency and complicated operation due to the fact that most of the existing gastrodia elata slicing modes depend on manual operation or use of simple mechanical devices. The gastrodia elata slicing device comprises a workbench, a supporting plate is fixedly installed on one side of the workbench, a supporting frame is fixedly installed at the top of the workbench, a partition frame is fixedly installed in the supporting frame, the partition frame is used for supporting and limiting gastrodia elata needing to be sliced, and a plurality of feeding holes are formed in the inner wall of the top of the supporting frame at equal intervals. According to the gastrodia elata slicing device, multiple gastrodia elata can be cut at the same time, meanwhile, by adjusting the position of the baffle, the gastrodia elata slicing thickness can be adjusted, and therefore in actual use, the baffle can be adjusted to the proper position according to actual needs, and good practicability is achieved.

A machine learning model (e.g., a neural network or other suitable machine learning model) is trained and implemented for noise reduction in ultra-low-dose (ULD) computed tomography (CT). Training inputs include low-dose CT image data generated from thick-slice images and noise maps estimated from images having a thinner slice thickness than the thick-slice images. Training targets include routine-dose CT image data including images having the same slice thickness as the thick-slice images in the training inputs.

A tissue section thickness estimation device 1 comprises a difference image generator 10 that generates a difference image between a microscopic image of a tissue section taken under conditions of shallow depth of focus and a microscopic image of the tissue section taken under conditions of deep depth of focus, and an estimation unit 20 that estimates the thickness of the tissue section from the difference image.

The invention discloses a geometric feature evaluation method and device of an angle steel component, a medium and equipment, and relates to the field of component geometric accuracy evaluation detection, and the method comprises the steps: obtaining three-dimensional point cloud data of the angle steel component of laser wire feed additive manufacturing (WLAM); the method comprises the following steps: reconstructing a coordinate system of an angle steel member by adopting a principal component analysis (PCA) method, determining a slice thickness of the angle steel member by adopting an adaptive slice thickness algorithm based on acquired height information of the angle steel member, dividing the angle steel member into a plurality of slices based on the slice thickness, and determining a mass center position and a main direction vector corresponding to each slice; according to the mass center position and the main direction vector, torsion angles corresponding to all the slices are obtained, and the inclination deviation parameter and the straightness parameter of the angle steel component are obtained by conducting least square linear fitting on the mass center track data.

The utility model relates to toasty slice machine technical field, concretely relates to a slice thickness adjustable toasty slice machine, including slice seat, the top of slice seat is provided with a plurality of guide posts, the top of guide post is provided with the top seat, the top of top seat is provided with hydraulic rod, the telescopic end of hydraulic rod penetrates top seat and is provided with the adjusting frame, the inside of adjusting frame is provided with the adjusting assembly that can adjust the slice thickness, through rotating two -way screw rod, drive two threaded blocks to be close to each other or each other away, when two threaded blocks are close to each other, will drive X type link's one end close to each other, and X type link's other end will drive two sliding blocks close to each other, simultaneously also will drive slide and cutting knife move, through a plurality of X type link can drive a plurality of slide and cutting knife etc.

The invention relates to a scatter correction method based on a side irradiation scintillator. The cuboid scintillators are sliced into piles along the long sides in an equal-thickness mode; collimated beams matched with the sheet thickness only penetrate through the first sheet from the side face to irradiate, the camera directly faces for imaging, and the brightness is extracted one by one; fitting a scattering attenuation relation based on an illuminated experiment to obtain a scattering correction factor; and deducting scattering of the actually measured brightness item by item according to layers, recovering the real brightness, and obtaining three-dimensional dose distribution according to brightness-dose calibration. According to the method, initial scintillation light and interlayer scattering can be separated, the structure is simple, calibration and measurement are consistent, and the three-dimensional dose measurement precision and reproducibility are remarkably improved.

Disclosed herein is a method comprising: receiving (200) an initial pulse sequence command (122); receiving (202) calibration data (124); receiving (204) a volume of interest (126); receiving (206) a slice thickness (128) of the at least one slice stack; and receiving (208) a stack-related stack orientation (130) of the at least one slice stack. The method further includes performing, for a slice, the following: determining (210) a field of view (132) for the slice using the volume of interest, the slice thickness, and the stack orientation of the stack of slices; determining (212) a readout direction (136) for the slice and a phase encoding direction for the slice using the calibration data to optimize image metrics within the slice; and constructing (214) a slice-specific pulse sequence command (140) by modifying the initial pulse sequence command using the field of view, the readout direction, and the phase encoding direction. A system for performing the method is disclosed.

The utility model relates to the technical field of medicinal material slicing devices, in particular to a medicinal material slicing thickness control device with a self-adaptive adjusting function. The device further comprises a first motor, a mounting frame, a polished rod, a sliding ring, a slicing knife, an adjusting plate, a rotating rod, a second motor, a fixing ring, an interval adjusting block, a first electric push rod, a fixing frame, a first hydraulic push rod and a locking plate. Two supporting plates are welded to the upper end of the workbench. When the slicing thickness needs to be adjusted, a first hydraulic push rod is started to release locking of a slicing knife, a first electric push rod is used for driving a fixing frame to move, so that an interval adjusting block is separated from two adjusting plates, a second motor is started to rotate a rotating rod, the interval adjusting block of the appropriate specification is selected for replacement, and the first electric push rod is used again to drive the fixing frame; the selected interval adjusting block is placed between the two adjusting plates, and finally the two first hydraulic push rods are started to push the adjusting plates to extrude inwards, so that the adjusting plates make close contact with the interval adjusting block and are locked.

The application discloses a method for determining longitudinal position of a combined phantom, a computer readable storage medium and a CT device. The method comprises: scanning the combined phantom to obtain a positioning image of the combined phantom, the combined phantom being fixed to a bed plate and extending out of the bed plate, an axial direction of the combined phantom being parallel to the longitudinal direction, the combined phantom comprising a plurality of phantoms and one of the phantoms being a slice thickness phantom; identifying the plurality of phantoms on the positioning image; and taking the axial center of the slice thickness phantom as the longitudinal position of the combined phantom. The method for determining longitudinal position of a combined phantom, the computer readable storage medium and the CT device can automatically align the phantom position quickly by determining the longitudinal position of the combined phantom through the positioning image.

The utility model belongs to the technical field of radix astragali slicing, and particularly relates to a radix astragali slicing device. Comprising a cutting platform used for cutting radix astragali into pieces; the adjusting assembly is rotationally connected to the cutting platform and used for adjusting the inclination angle between the radix astragali and the cutting platform; the supporting assembly is arranged on the cutting platform and used for adjusting the thickness of the astragalus membranaceus slices; the guiding assembly is arranged below the cutting platform and used for adjusting the inclination angle of the cutting platform, the adjusting assembly is used for driving astragalus membranaceus to adjust the angle relative to the surface of the blade, thin astragalus membranaceus is inclined on the blade, and the section of the cut astragalus membranaceus slices is oval. The section area of an astragalus membranaceus slice is increased in an oval mode, the angle of the slice can be changed according to different thicknesses of astragalus membranaceus, and the section areas of the astragalus membranaceus slices obtained by cutting different positions of the same astragalus membranaceus with different thicknesses can be similar in size.

This application discloses a method and related apparatus for processing training datasets for segmentation models. First, historical medical image datasets can be divided into a dataset to be segmented, a dataset to be interpolated, and a base-preserved dataset based on the target slice thickness. For the image samples to be segmented, the slice index of each layer is obtained by parsing their DICOM files, and the number of sub-images to be segmented is determined by combining the target slice thickness and the original slice thickness. A round-robin segmentation method is then used to subdivide one image sample into multiple sets of sub-images containing at least one slice. This refined processing avoids the loss of inter-slice details caused by traditional downsampling and merging of multiple layers, maximizing the preservation of the spatial structure and anatomical details of the images. Finally, the sub-image sets, the dataset to be interpolated, and the base-preserved dataset are combined to construct the training dataset. This not only reduces information distortion but also improves the model's ability to learn detailed features.

The invention discloses a slicer self-adaptive thickness slicing precision control system based on force control feedback, and relates to the technical field of slicer automatic control, the system comprises a material characteristic sensing unit, a process force monitoring unit, a thickness measuring unit, a central processing and control unit and an execution mechanism, the central processing and control unit is in the same control period, and the central processing and control unit is in the same control period. Material characteristic data and force signal data are fused and input into a recurrent neural network model to achieve thickness prediction, a control instruction is generated based on prediction deviation to drive an execution mechanism, meanwhile, the model is updated online through thickness measurement data, a feed-forward-feedback composite control structure is constructed, the problems of sensing lag and control isolation are solved, and the control precision is improved. And control parameters are dynamically adapted, the slice thickness precision and the system stability are improved, and the method is suitable for multi-field slice production.

This invention provides a method and system for adaptive slicing and thinning of 3D geographic point clouds. The method includes: calculating the effective range and density of a 3D discrete point cloud, using the point cloud density as the initial slice thickness; selecting the direction with the largest effective range as the main direction, and then sequentially slicing the unordered 3D discrete points along the main direction to obtain sliced ​​point clouds; projecting these sliced ​​point clouds onto the plane where the center of the sliced ​​point cloud is located to obtain the 2D cross-sectional points of the slice; calculating the difference between the inner and outer contours when the sliced ​​point cloud is projected onto the center of the cross-section, and determining whether it exceeds a corresponding preset shape error threshold; if not, determining that the current slice layer is complete and processing the next slice layer; if so, reducing the slice thickness and re-slicing the current slice layer; sequentially calculating the convex hull of the discrete point set on the corresponding cross-sections of all sliced ​​point cloud data, and thinning the feature points; sorting all the convex hulls of the cross-sections according to the main direction, connecting each slice, and obtaining the overall thinned point cloud model.

The utility model provides a full-automatic herbal medicine slicing machine with adjustable slice thickness, which belongs to the technical field of medicinal material processing and comprises a support and a clamping component, a driving component is arranged in the middle of the support, the clamping component is arranged at the bottom of the driving component, and the clamping component comprises a plurality of clamping plates symmetrically distributed at the bottom of the driving component. The clamping plates on the same side are connected through a connecting rod; according to the utility model, the accumulation of impurities in the herbal medicine slicing machine can be reduced, and the normal operation of the herbal medicine slicing machine is ensured.

This application relates to an additive manufacturing layer height control method, electronic device, and storage medium, belonging to the field of feed-type additive manufacturing technology. The method includes: slicing a workpiece model to be processed based on a preset slicing thickness, generating motion codes corresponding to several slicing layers; executing the motion code of the current slicing layer to complete the deposition of the current deposition layer, and obtaining the measured layer height of the current deposition layer; rounding the ratio of the measured layer height to the slicing thickness to determine the number of slicing layers to be skipped; adding the layer number of the current slicing layer to the number of slicing layers to be skipped to obtain the updated layer number of the current slicing layer, and repeating the above steps until the updated layer number of the current slicing layer exceeds the total number of layers of the workpiece model to be processed. This application selectively executes pre-generated motion codes through layer skipping operations, achieving closed-loop layer height control based on measured layer height following without modifying the motion codes themselves.

The slicing guide is utilized to safely and accurately set the thickness of a slicer. The slicing guide generally comprises a slicing guide rest that rests on the slicer and a slicing guide body extending from the slicing guide rest. The slicing guide rest is placed on an edge of the slicer, and the blade is adjusted until it contacts the slicing guide body or is aligned with a guide line on the slicing guide body. In some embodiments, the slicing guide may also be adjustable to accommodate a wide variety of slicer designs.