Literature DB >> 15374537

The use of mutual information in registration of CT and MRI datasets post permanent implant.

Patrick W McLaughlin1, Vrinda Narayana, Marc Kessler, Daniel McShan, Sara Troyer, Lon Marsh, George Hixson, Peter L Roberson.   

Abstract

PURPOSE: To determine the feasibility of registration of MRI and CT datasets post permanent prostate implant by the use of mutual information. METHODS AND MATERIALS: Five patients who underwent permanent (125)I implant for prostate carcinoma were studied. Two weeks postimplant an axial CT, T2-weighted-axial, sagittal and coronal MRI, and T1-fat-saturation MRI scans were obtained. Registrations of MRI to CT and MRI to MRI datasets were performed by mutual information, an automated process of data registration matching all information in specified dataset regions of interest. Registration quality was evaluated by visual inspection, agreement with seed- to-seed registration, and histogram analysis.
RESULTS: Rapid registration (<30 minutes) of CT and MRI datasets can be accomplished through the use of mutual information. All methods of registration evaluation confirmed excellent registration quality. Although D90 and V100 for the prostate were comparable between MRI- and CT-based dosimetry, dose to critical structures/microenvironments (anterior base, posterior base, bladder outlet, lower sphincter, bulbar urethra) defined on MRI varied widely.
CONCLUSIONS: Efficient and accurate registration of MRI and CT datasets following prostate implant is possible, and improves the accuracy of postimplant dosimetry by superior definition of the prostate. Definition of critical microenvironments and adjacent structures will improve dose and toxicity correlation and ultimately improve planning strategies.

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Year:  2004        PMID: 15374537     DOI: 10.1016/j.brachy.2004.06.001

Source DB:  PubMed          Journal:  Brachytherapy        ISSN: 1538-4721            Impact factor:   2.362


  9 in total

1.  Registration accuracy for MR images of the prostate using a subvolume based registration protocol.

Authors:  Joakim H Jonsson; Patrik Brynolfsson; Anders Garpebring; Mikael Karlsson; Karin Söderström; Tufve Nyholm
Journal:  Radiat Oncol       Date:  2011-06-16       Impact factor: 3.481

2.  Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks.

Authors:  Yabo Fu; Tonghe Wang; Yang Lei; Pretesh Patel; Ashesh B Jani; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Med Phys       Date:  2020-11-27       Impact factor: 4.071

3.  MR to CT Registration of Brains using Image Synthesis.

Authors:  Snehashis Roy; Aaron Carass; Amod Jog; Jerry L Prince; Junghoon Lee
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-21

4.  CT AND MRI FUSION FOR POSTIMPLANT PROSTATE BRACHYTHERAPY EVALUATION.

Authors:  Ehsan Dehghan; Yi Le; Junghoon Lee; Daniel Y Song; Gabor Fichtinger; Jerry L Prince
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2016-06-16

5.  Registration of in vivo prostate MRI and pseudo-whole mount histology using Local Affine Transformations guided by Internal Structures (LATIS).

Authors:  Chaitanya Kalavagunta; Xiangmin Zhou; Stephen C Schmechel; Gregory J Metzger
Journal:  J Magn Reson Imaging       Date:  2014-04-04       Impact factor: 4.813

6.  Dosimetric evaluation of synthetic CT generated with GANs for MRI-only proton therapy treatment planning of brain tumors.

Authors:  Samaneh Kazemifar; Ana M Barragán Montero; Kevin Souris; Sara T Rivas; Robert Timmerman; Yang K Park; Steve Jiang; Xavier Geets; Edmond Sterpin; Amir Owrangi
Journal:  J Appl Clin Med Phys       Date:  2020-03-26       Impact factor: 2.102

7.  Post-implant computed tomography-magnetic resonance prostate image registration using feature line parallelization and normalized mutual information.

Authors:  Sandra Vidakovic; Hans S Jans; Abe Alexander; Ron S Sloboda
Journal:  J Appl Clin Med Phys       Date:  2006-07-05       Impact factor: 2.102

8.  Investigation of the clinical inter-observer bias in prostate fiducial marker image registration between CT and MR images.

Authors:  Emilia Persson; Sevgi Emin; Jonas Scherman; Christian Jamtheim Gustafsson; Patrik Brynolfsson; Sofie Ceberg; Adalsteinn Gunnlaugsson; Lars E Olsson
Journal:  Radiat Oncol       Date:  2021-08-16       Impact factor: 3.481

9.  Systematisation of spatial uncertainties for comparison between a MR and a CT-based radiotherapy workflow for prostate treatments.

Authors:  Tufve Nyholm; Morgan Nyberg; Magnus G Karlsson; Mikael Karlsson
Journal:  Radiat Oncol       Date:  2009-11-17       Impact factor: 3.481

  9 in total

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