3D non-rigid registration using surface and local salient features for transrectal ultrasound image-guided prostate biopsy
We present a 3D non-rigid registration algorithm for the potential use in combining PET/CT
and transrectal ultrasound (TRUS) images for targeted prostate biopsy. Our registration is a …
and transrectal ultrasound (TRUS) images for targeted prostate biopsy. Our registration is a …
Registration of whole-mount histology and volumetric imaging of the prostate using particle filtering
Registration of histological slices to volumetric imaging of the prostate is an important task
that can be used to optimize imaging for cancer detection. Such registration is challenging …
that can be used to optimize imaging for cancer detection. Such registration is challenging …
Model-based registration of ex vivo and in vivo MRI of the prostate using elastography
Registration of histopathology to in vivo magnetic resonance imaging (MRI) of the prostate is
an important task that can be used to optimize in vivo imaging for cancer detection. Such …
an important task that can be used to optimize in vivo imaging for cancer detection. Such …
DRAMMS: deformable registration via attribute matching and mutual-saliency weighting
Y Ou, C Davatzikos - … Conference on Information Processing in Medical …, 2009 - Springer
A general-purpose deformable registration algorithm referred to as” DRAMMS” is presented
in this paper. DRAMMS adds to the literature of registration methods that bridge between the …
in this paper. DRAMMS adds to the literature of registration methods that bridge between the …
Automatic registration of multi-modal microscopy images for integrative analysis of prostate tissue sections
G Lippolis, A Edsjö, L Helczynski, A Bjartell… - BMC cancer, 2013 - Springer
Background Prostate cancer is one of the leading causes of cancer related deaths. For
diagnosis, predicting the outcome of the disease, and for assessing potential new …
diagnosis, predicting the outcome of the disease, and for assessing potential new …
Optimum slicing of radical prostatectomy specimens for correlation between histopathology and medical images
Purpose There is a need for methods which enable precise correlation of histologic sections
with in vivo prostate images. Such methods would allow direct comparison between imaging …
with in vivo prostate images. Such methods would allow direct comparison between imaging …
A Markov random field groupwise registration framework for face recognition
In this paper, we propose a new framework for tackling face recognition problem. The face
recognition problem is formulated as groupwise deformable image registration and feature …
recognition problem is formulated as groupwise deformable image registration and feature …
Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score
Prostate biopsy is the current gold-standard procedure for prostate cancer diagnosis.
Existing prostate biopsy procedures have been mostly focusing on detecting cancer …
Existing prostate biopsy procedures have been mostly focusing on detecting cancer …
Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning
Purpose: Automatic prostate segmentation from MR images is an important task in various
clinical applications such as prostate cancer staging and MR‐guided radiotherapy planning …
clinical applications such as prostate cancer staging and MR‐guided radiotherapy planning …
[HTML][HTML] A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy
Background and purpose Radiation therapy (RT) is commonly indicated for treatment of
prostate cancer (PC). Biologicallyoptimised RT for PC may improve disease-free survival …
prostate cancer (PC). Biologicallyoptimised RT for PC may improve disease-free survival …