Abstract: The present invention relates to a system and related methods for performing neurophysiologic assessments during surgical procedures. A method includes the steps of delivering a first transcutaneous, trans-abdominal stimulation signal to a spinal nerve root superior to a surgical target site; and determining a first neuromuscular response data set, based on transmission of said first transcutaneous, trans-abdominal stimulation signal, of a muscle located inferior to said surgical target site.

Abstract: Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

Abstract: Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

Abstract: Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

Abstract: The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

Abstract: An exemplary system, method and computer-accessible medium for generating a denoised magnetic resonance (MR) image(s) of a portion(s) of a patient(s) can be provided, which can include, for example, generating a plurality of MR images of the portion(s), where a number of the MR images can be based on a number of MR coils in a MR apparatus used to generate the MR images, generating MR imaging information by denoising a first one of the MR images based on another one of the MR images, and generating the denoised MR image(s) based on the MR imaging information. The number of the MR coils can be a subset of a total number of the MR coils in the MR apparatus. The number of the MR coils can be a total number of the MR coils in the MR apparatus. The MR information can be generated by denoising each of the MR images based on the other one of the MR images.

Abstract: The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

Abstract: A system includes a surgical cart that includes a local client access point, a monitor, a cart computer, a first external interface coupled to the local client access point, and a second external interface coupled to the primary monitor. The surgical cart can host a web server to which one or more client devices can connect using a web browser. The web server can provide access to one or more surgical applications hosted by the surgical cart during a surgery.

Abstract: An exemplary system, method and computer-accessible medium for characterizing a microstructure of a prostate of a patient can be provided, which can include, for example, generating a magnetic resonance (MR) radiofrequency (RF) pulse(s) by varying (i) a diffusion time, (ii) a diffusion gradient direction, (iii) a diffusion gradient pulse width, or (iv) a diffusion gradient pulse shape, applying the MR RF pulse(s) to the prostate of the patient, receiving a resultant MR signal from the prostate of the patient that can be based on the MR RF pulse(s), determining information regarding a plurality of compartments for the prostate from the resultant MR signal by varying an echo time or a mixing time, and characterizing the microstructure for each of the compartments by applying a microstructural model(s) to each of the compartments.

Abstract: An exemplary system, method and computer-accessible medium for characterizing a microstructure of a prostate of a patient can be provided, which can include, for example, generating a magnetic resonance (MR) radiofrequency (RF) pulse(s) by varying (i) a diffusion time, (ii) a diffusion gradient direction, (iii) a diffusion gradient pulse width, or (iv) a diffusion gradient pulse shape, applying the MR RF pulse(s) to the prostate of the patient, receiving a resultant MR signal from the prostate of the patient that can be based on the MR RF pulse(s), determining information regarding a plurality of compartments for the prostate from the resultant MR signal by varying an echo time or a mixing time, and characterizing the microstructure for each of the compartments by applying a microstructural model(s) to each of the compartments.

Abstract: An exemplary system, method and computer-accessible medium for generating a denoised magnetic resonance (MR) image(s) of a portion(s) of a patient(s) can be provided, which can include, for example, generating a plurality of MR images of the portion(s), where a number of the MR images can be based on a number of MR coils in a MR apparatus used to generate the MR images, generating MR imaging information by denoising a first one of the MR images based on another one of the MR images, and generating the denoised MR image(s) based on the MR imaging information. The number of the MR coils can be a subset of a total number of the MR coils in the MR apparatus. The number of the MR coils can be a total number of the MR coils in the MR apparatus. The MR information can be generated by denoising each of the MR images based on the other one of the MR images.

Abstract: An exemplary system, method and computer-accessible medium for determining an arterial input function (AIF) of a mammal(s) can be provided, which can include, for example, receiving information related to a global circulatory system of the mammal(s), and determining the AIF based on the information by modeling a blood flow in the global circulatory system of the mammal(s) in terms of an input response function(s). The input response function(s) can include a delayed input response function(s). In certain exemplary embodiments of the present disclosure, the input response function(s) can include at least three input response functions, and each of the input response functions can be from a different part of a body of the mammal(s). The AIF can be determined by coupling the input response functions. The AIF can be further determined based on a total tracer amount in an organ(s) of the mammal(s).

Abstract: An exemplary system, method and computer-accessible medium for removing noise and Gibbs ringing from a magnetic resonance (“MR”) image(s), can be provided, which can include, for example, receiving information related to the MR image(s), receiving information related to the MR image(s), and removing the Gibbs ringing from the information by extrapolating data in a k-space from the MR image(s) beyond an edge(s) of a measured portion of the k-space. The data can be extrapolated by formatting the data as a regularized minimization problem(s). A first weighted term of the regularized minimization problem(s) can preserve a fidelity of the extrapolated data, and a second weighted term of the regularized minimization problem(s) can be a penalty term that can be based a norm(s) of the MR image(s), which can be presumed to be sparse.

Abstract: A system and method may be used to visualize laser energy distributions within one or more laser movements generated by a scanning laser processing head. The system and method determine laser energy distributions at a plurality of locations within the laser movement(s) based at least in part on received laser processing parameters and laser movement parameters. A visual representation of the laser energy distributions may then be displayed to allow the user to visualize and select or define the appropriate pattern and parameters for a laser processing operation. The visualization system and method may be used to predict actual laser energy distributions in a laser processing operation by visualizing the laser energy distributions before the laser processing operation and/or to troubleshoot a laser processing operation by visualizing the laser energy distributions after the laser processing operation.

Abstract: The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

Abstract: The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

Abstract: An exemplary system, method and computer-accessible medium for determining a plurality of tissue parameters of a tissue(s), can include, for example, receiving information related to a plurality of rotational invariants contained within a diffusion magnetic resonance (dMR) image(s) of the tissue(s), and generating the tissue parameters using a set of rotational invariants related to the plurality of tissue parameters using such information. The tissue parameters can be generated by factorizing a response of an individual fiber segment of the tissue(s) based on the set of rotational invariants. The response of the individual fiber segments can be factorized from an orientational distribution function (“ODF”). The individual fiber segments can be factorized using a scalar tensor factorization(s) of the rotational invariants. The set of rotational invariants can be of a rotation group SO(3).

Abstract: An exemplary system, method and computer-accessible medium for determining an arterial input function (AIF) of a mammal(s) can be provided, which can include, for example, receiving information related to a global circulatory system of the mammal(s), and determining the AIF based on the information by modeling a blood flow in the global circulatory system of the mammal(s) in terms of an input response function(s). The input response function(s) can include a delayed input response function(s). In certain exemplary embodiments of the present disclosure, the input response function(s) can include at least three input response functions, and each of the input response functions can be from a different part of a body of the mammal(s). The AIF can be determined by coupling the input response functions. The AIF can be further determined based on a total tracer amount in an organ(s) of the mammal(s).

Abstract: An exemplary system, method and computer-accessible medium for removing noise and Gibbs ringing from a magnetic resonance (“MR”) image(s), can be provided, which can include, for example, receiving information related to the MR image(s), receiving information related to the MR image(s), and removing the Gibbs ringing from the information by extrapolating data in a k-space from the MR image(s) beyond an edge(s) of a measured portion of the k-space. The data can be extrapolated by formatting the data as a regularized minimization problem(s).

Abstract: An exemplary system, method and computer-accessible medium for determining a plurality of tissue parameters of a tissue(s), can include, for example, receiving information related to a plurality of rotational invariants contained within a diffusion magnetic resonance (dMR) image(s) of the tissue(s), and generating the tissue parameters using a set of rotational invariants related to the plurality of tissue parameters using such information. The tissue parameters can be generated by factorizing a response of an individual fiber segment of the tissue(s) based on the set of rotational invariants. The response of the individual fiber segments can be factorized from an orientational distribution function (“ODF”). The individual fiber segments can be factorized using a scalar tensor factorization(s) of the rotational invariants. The set of rotational invariants can be of a rotation group SO(3).