Literature DB >> 11931473

Automatic MR volume registration and its evaluation for the pelvis and prostate.

Baowei Fei1, Andrew Wheaton, Zhenghong Lee, Jeffrey L Duerk, David L Wilson.   

Abstract

A three-dimensional (3D) mutual information registration method was created and used to register MRI volumes of the pelvis and prostate. It had special features to improve robustness. First, it used a multi-resolution approach and performed registration from low to high resolution. Second, it used two similarity measures, correlation coefficient at lower resolutions and mutual information at full resolution, because of their particular advantages. Third, we created a method to avoid local minima by restarting the registration with randomly perturbed parameters. The criterion for restarting was a correlation coefficient below an empirically determined threshold. Experiments determined the accuracy of registration under conditions found in potential applications in prostate cancer diagnosis, staging, treatment and interventional MRI (iMRI) guided therapies. Images were acquired in the diagnostic (supine) and treatment position (supine with legs raised). Images were also acquired as a function of bladder filling and the time interval between imaging sessions. Overall studies on three patients and three healthy volunteers, when both volumes in a pair were obtained in the diagnostic position under comparable conditions, bony landmarks and prostate 3D centroids were aligned within 1.6 +/- 0.2 mm and 1.4 +/- 0.2 mm, respectively, values only slightly larger than a voxel. Analysis suggests that actual errors are smaller because of the uncertainty in landmark localization and prostate segmentation. Between the diagnostic and treatment positions, bony landmarks continued to register well, but prostate centroids moved towards the posterior 2.8-3.4 mm. Manual cropping to remove voxels in the legs was necessary to register these images. In conclusion, automatic, rigid body registration is probably sufficiently accurate for many applications in prostate cancer. For potential iMRI-guided treatments, the small prostate displacement between the diagnostic and treatment positions can probably be avoided by acquiring volumes in similar positions and by reducing bladder and rectal volumes.

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Year:  2002        PMID: 11931473     DOI: 10.1088/0031-9155/47/5/309

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  21 in total

1.  Computer-aided diagnosis of prostate cancer with MRI.

Authors:  Baowei Fei
Journal:  Curr Opin Biomed Eng       Date:  2017-09

2.  Automatic registration of CT volumes and dual-energy digital radiography for detection of cardiac and lung diseases.

Authors:  Baowei Fei; Xiang Chen; Hesheng Wang; John M Sabol; Elena DuPont; Robert C Gilkeson
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

3.  Automatic 3D-to-2D registration for CT and dual-energy digital radiography for calcification detection.

Authors:  Xiang Chen; Robert C Gilkeson; Baowei Fei
Journal:  Med Phys       Date:  2007-12       Impact factor: 4.071

Review 4.  MR-guided prostate interventions.

Authors:  Clare Tempany; Sarah Straus; Nobuhiko Hata; Steven Haker
Journal:  J Magn Reson Imaging       Date:  2008-02       Impact factor: 4.813

5.  Validation of the CT-MRI image registration with a dedicated phantom.

Authors:  Sofia Spampinato; Anna Maria Gueli; Luigi Raffaele; Concetta Stancampiano; Giovanni Carlo Ettorre
Journal:  Radiol Med       Date:  2014-07-15       Impact factor: 3.469

6.  3D Registration of mpMRI for Assessment of Prostate Cancer Focal Therapy.

Authors:  Clément Orczyk; Andrew B Rosenkrantz; Artem Mikheev; Arnauld Villers; Myriam Bernaudin; Samir S Taneja; Samuel Valable; Henry Rusinek
Journal:  Acad Radiol       Date:  2017-11-06       Impact factor: 3.173

7.  Automatic Intensity-based 3D-to-2D Registration of CT Volume and Dual-energy Digital Radiography for the Detection of Cardiac Calcification.

Authors:  Xiang Chen; Robert Gilkeson; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2007-03-03

8.  Accuracy Evaluation of a 3D Ultrasound-guided Biopsy System.

Authors:  Walter J Wooten; Jonathan A Nye; David M Schuster; Peter T Nieh; Viraj A Master; John R Votaw; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-14

9.  Integrated software environment based on COMKAT for analyzing tracer pharmacokinetics with molecular imaging.

Authors:  Yu-Hua Dean Fang; Pravesh Asthana; Cristian Salinas; Hsuan-Ming Huang; Raymond F Muzic
Journal:  J Nucl Med       Date:  2009-12-15       Impact factor: 10.057

10.  Accuracy analysis in MRI-guided robotic prostate biopsy.

Authors:  Helen Xu; Andras Lasso; Peter Guion; Axel Krieger; Aradhana Kaushal; Anurag K Singh; Peter A Pinto; Jonathan Coleman; Robert L Grubb; Jean-Baptiste Lattouf; Cynthia Menard; Louis L Whitcomb; Gabor Fichtinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-03-27       Impact factor: 2.924

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