Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects
Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …
Learning deep similarity metric for 3D MR–TRUS image registration
Purpose The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images
for guiding targeted prostate biopsy has significantly improved the biopsy yield of aggressive …
for guiding targeted prostate biopsy has significantly improved the biopsy yield of aggressive …
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching
Abstract A non-rigid MR-TRUS image registration framework is proposed for prostate
interventions. The registration framework consists of a convolutional neural networks (CNN) …
interventions. The registration framework consists of a convolutional neural networks (CNN) …
A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound
Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being
crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) …
crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) …
Deformable MR‐CBCT prostate registration using biomechanically constrained deep learning networks
Background and purpose Radiotherapeutic dose escalation to dominant intraprostatic
lesions (DIL) in prostate cancer could potentially improve tumor control. The purpose of this …
lesions (DIL) in prostate cancer could potentially improve tumor control. The purpose of this …
MR to ultrasound image registration with segmentation‐based learning for HDR prostate brachytherapy
Purpose Propagation of contours from high‐quality magnetic resonance (MR) images to
treatment planning ultrasound (US) images with severe needle artifacts is a challenging …
treatment planning ultrasound (US) images with severe needle artifacts is a challenging …
Deep adaptive registration of multi-modal prostate images
Artificial intelligence, especially the deep learning paradigm, has posed a considerable
impact on cancer imaging and interpretation. For instance, fusing transrectal ultrasound …
impact on cancer imaging and interpretation. For instance, fusing transrectal ultrasound …
Boundary Constraint-free Biomechanical Model-Based Surface Matching for Intraoperative Liver Deformation Correction
Z Yang, R Simon, K Merrell… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In image-guided liver surgery, 3D-3D non-rigid registration methods play a crucial role in
estimating the mapping between the preoperative model and the intraoperative surface …
estimating the mapping between the preoperative model and the intraoperative surface …
Registration of 3D freehand ultrasound to a bone model for orthopedic procedures of the forearm
M Ciganovic, F Ozdemir, F Pean, P Fuernstahl… - International journal of …, 2018 - Springer
Purpose For guidance of orthopedic surgery, the registration of preoperative images and
corresponding surgical plans with the surgical setting can be of great value. Ultrasound (US) …
corresponding surgical plans with the surgical setting can be of great value. Ultrasound (US) …
Statistical biomechanical surface registration: application to MR-TRUS fusion for prostate interventions
A common challenge when performing surface-based registration of images is ensuring that
the surfaces accurately represent consistent anatomical boundaries. Image segmentation …
the surfaces accurately represent consistent anatomical boundaries. Image segmentation …