Literature DB >> 25267873

A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI.

Robert Toth1, Bryan Traughber2, Rodney Ellis2, John Kurhanewicz3, Anant Madabhushi2.   

Abstract

External beam radiation treatment (EBRT) is a popular method for treating prostate cancer (CaP) involving destroying tumor cells with ionizing radiation. Following EBRT, biochemical failure has been linked with disease recurrence. However, there is a need for methods for evaluating early treatment related changes to allow for an early intervention in case of incomplete disease response. One method for looking at treatment evaluation is to detect changes in MRI markers on a voxel-by-voxel basis following treatment. Changes in MRI markers may be correlated with disease recurrence and complete or partial response. In order to facilitate voxel-by-voxel imaging related treatment changes, and also to evaluate morphologic changes in the gland post treatment, the pre- and post-radiated MRI must first be brought into spatial alignment via image registration. However, EBRT induces changes in the prostate volume and distortion to the internal anatomy of the prostate following radiation treatment. The internal substructures of the prostate, the central gland (CG) and peripheral zone (PZ), may respond to radiation differently, and their resulting shapes may change drastically. Biomechanical models of the prostate that have been previously proposed tend to focus on how external forces affect the surface of the prostate (not the internals), and assume that the prostate is a volume-preserving entity. In this work we present DoCD, a biomechanical model for automatically registering pre-, post-EBRT MRI with the aim of expressly modeling the (1) changes in volume, and (2) changes to the CG and PZ. DoCD was applied to a cohort of 30 patients and achieved a root mean square error of 2.994 mm, which was statistically significantly better a traditional biomechanical model which did not consider changes to the internal anatomy of the prostate (mean of 5.071 mm).

Entities:  

Year:  2014        PMID: 25267873      PMCID: PMC4175430          DOI: 10.1016/j.neucom.2014.01.058

Source DB:  PubMed          Journal:  Neurocomputing        ISSN: 0925-2312            Impact factor:   5.719


  33 in total

1.  Zonal segmentation of prostate using multispectral magnetic resonance images.

Authors:  N Makni; A Iancu; O Colot; P Puech; S Mordon; N Betrouni
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

2.  Simultaneous Segmentation of Prostatic Zones Using Active Appearance Models With Multiple Coupled Levelsets.

Authors:  Robert Toth; Justin Ribault; John Gentile; Dan Sperling; Anant Madabhushi
Journal:  Comput Vis Image Underst       Date:  2013-09-01       Impact factor: 3.876

3.  Automated finite-element analysis for deformable registration of prostate images.

Authors:  Jessica R Crouch; Stephen M Pizer; Edward L Chaney; Yu-Chi Hu; Gig S Mageras; Marco Zaider
Journal:  IEEE Trans Med Imaging       Date:  2007-10       Impact factor: 10.048

4.  Time to detectable metastatic disease in patients with rising prostate-specific antigen values following surgery or radiation therapy.

Authors:  Susan F Slovin; Andrew S Wilton; Glenn Heller; Howard I Scher
Journal:  Clin Cancer Res       Date:  2005-12-15       Impact factor: 12.531

5.  2D-3D rigid registration to compensate for prostate motion during 3D TRUS-guided biopsy.

Authors:  Tharindu De Silva; Aaron Fenster; Derek W Cool; Lori Gardi; Cesare Romagnoli; Jagath Samarabandu; Aaron D Ward
Journal:  Med Phys       Date:  2013-02       Impact factor: 4.071

6.  Mapping of the prostate in endorectal coil-based MRI/MRSI and CT: a deformable registration and validation study.

Authors:  J Lian; L Xing; S Hunjan; C Dumoulin; J Levin; A Lo; R Watkins; K Rohling; R Giaquinto; D Kim; D Spielman; B Daniel
Journal:  Med Phys       Date:  2004-11       Impact factor: 4.071

Review 7.  Hallmarks of senescence in carcinogenesis and cancer therapy.

Authors:  Jerry W Shay; Igor B Roninson
Journal:  Oncogene       Date:  2004-04-12       Impact factor: 9.867

8.  Comparative sensitivities of functional MRI sequences in detection of local recurrence of prostate carcinoma after radical prostatectomy or external-beam radiotherapy.

Authors:  Catherine Roy; Fatah Foudi; Jeanne Charton; Michel Jung; Hervé Lang; Christian Saussine; Didier Jacqmin
Journal:  AJR Am J Roentgenol       Date:  2013-04       Impact factor: 3.959

9.  Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth.

Authors:  Evangelia I Zacharaki; Cosmina S Hogea; Dinggang Shen; George Biros; Christos Davatzikos
Journal:  Neuroimage       Date:  2009-07-01       Impact factor: 6.556

Review 10.  Imaging of recurrent prostate cancer.

Authors:  Jurgen J Fütterer
Journal:  Radiol Clin North Am       Date:  2012-10-11       Impact factor: 2.303

View more
  2 in total

1.  Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings.

Authors:  Robert Toth; Dan Sperling; Anant Madabhushi
Journal:  PLoS One       Date:  2016-04-18       Impact factor: 3.240

2.  Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI.

Authors:  Rakesh Shiradkar; Tarun K Podder; Ahmad Algohary; Satish Viswanath; Rodney J Ellis; Anant Madabhushi
Journal:  Radiat Oncol       Date:  2016-11-10       Impact factor: 3.481

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.