Pelvis

Automatic Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region, Using Deep Learning.

Ultrasound in medicine & biology Nov 25, 2019

Ultrasound guidance is not in widespread use in prostate cancer radiotherapy workflows. This can be partially attributed to the need for image interpretation by a trained operator during ultrasound image acquisition. In this work, a one-class regress...

Humans Aged Deep Learning Ultrasonography Pelvis Perineum Aged, 80 and over Adult Male Middle Aged

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Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning.

Physics in medicine and biology Oct 21, 2019

The purpose of this work is to validate the application of a deep learning-based method for pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy treatment planning. We propose to integrate dense block minimization in...

Radiotherapy Planning, Computer-Assisted Proton Therapy Humans Magnetic Resonance Imaging Prostatic Neoplasms Tomography, X-Ray Computed Pelvis Male Deep Learning

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Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 17, 2019

BACKGROUND AND PURPOSE: Manual contouring is labor intensive, and subject to variations in operator knowledge, experience and technique. This work aims to develop an automated computed tomography (CT) multi-organ segmentation method for prostate canc...

Prostatic Neoplasms Pelvis Organs at Risk Tomography, X-Ray Computed Male Deep Learning Magnetic Resonance Imaging Humans

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Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

International journal of radiation oncology, biology, physics Sep 7, 2019

PURPOSE: Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to evaluate and compare DLMs (U-Net and generative adversarial network [GAN]) usin...

Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms Prostate Humans Tomography, X-Ray Computed Male Reference Values Pelvis Urinary Bladder Radiotherapy Dosage Rectum Uncertainty Radiotherapy, Intensity-Modulated Femur Head Bone and Bones

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A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.

BJU international Aug 28, 2019

OBJECTIVES: To develop a machine learning (ML)-assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings...

Humans Support Vector Machine Magnetic Resonance Imaging Decision Trees Lymph Node Excision Aged, 80 and over Prostatic Neoplasms Male Prostate Machine Learning Middle Aged Pelvis Retrospective Studies Lymph Nodes Aged

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Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.

International journal of legal medicine Aug 23, 2019

The performance of seven classification methods, binary logistic (BLR), probit (PR) and cumulative probit (CPR) regression, linear (LDA) and quadratic (QDA) discriminant analysis, artificial neural networks (ANN), and naïve Bayes classification (NBC)...

Statistics as Topic Skull Humans Discriminant Analysis Pelvis Female Sex Determination by Skeleton Male Logistic Models Neural Networks, Computer Bayes Theorem Machine Learning Algorithms

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mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification.

IEEE transactions on medical imaging Aug 16, 2019

We propose a new method for generating synthetic CT images from modified Dixon (mDixon) MR data. The synthetic CT is used for attenuation correction (AC) when reconstructing PET data on abdomen and pelvis. While MR does not intrinsically contain any ...

Image Processing, Computer-Assisted Abdomen Support Vector Machine Magnetic Resonance Imaging Fuzzy Logic Cluster Analysis Humans Pelvis Positron-Emission Tomography Tomography, X-Ray Computed

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Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment.

Skeletal radiology Aug 8, 2019

OBJECTIVE: To develop a deep convolutional neural network (CNN) to automatically segment an axial CT image of the pelvis for body composition measures. We hypothesized that a deep CNN approach would achieve high accuracy when compared to manual segme...

Middle Aged Contrast Media Muscle, Skeletal Adipose Tissue Body Composition Pelvis Datasets as Topic Retrospective Studies Humans Tomography, X-Ray Computed Neural Networks, Computer Female Male

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Is a Drain Needed After Robotic Radical Prostatectomy With or Without Pelvic Lymph Node Dissection? Results of a Single-Center Randomized Clinical Trial.

Journal of endourology Jul 31, 2019

To investigate by means of a randomized clinical trial the safety of no drain in the pelvic cavity after robot-assisted radical prostatectomy (RARP) with or without extended pelvic lymph node dissection (ePLND). From May to December 2016, 112 conse...

Robotic Surgical Procedures Pelvis Prostatectomy Lymph Node Excision Robotics Prostatic Neoplasms Humans Male

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Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.

Medical physics Jul 26, 2019

PURPOSE: The improved soft tissue contrast of magnetic resonance imaging (MRI) compared to computed tomography (CT) makes it a useful imaging modality for radiotherapy treatment planning. Even when MR images are acquired for treatment planning, the s...

Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Prostatic Neoplasms Pelvis Aged Aged, 80 and over Humans Male Retrospective Studies Middle Aged Tomography, X-Ray Computed

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Automatic Quality Assessment of Transperineal Ultrasound Images of the Male Pelvic Region, Using Deep Learning.

Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning.

Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network.

Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.

Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.

mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification.

Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment.

Is a Drain Needed After Robotic Radical Prostatectomy With or Without Pelvic Lymph Node Dissection? Results of a Single-Center Randomized Clinical Trial.

Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.

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