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Items: 1 to 20 of 133

1.

Template-based automatic breast segmentation on MRI by excluding the chest region.

Lin M, Chen JH, Wang X, Chan S, Chen S, Su MY.

Med Phys. 2013 Dec;40(12):122301. doi: 10.1118/1.4828837.

2.

Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images.

Wu S, Weinstein SP, Conant EF, Schnall MD, Kontos D.

Med Phys. 2013 Apr;40(4):042301. doi: 10.1118/1.4793255.

3.

Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method.

Wu S, Weinstein SP, Conant EF, Kontos D.

Med Phys. 2013 Dec;40(12):122302. doi: 10.1118/1.4829496.

4.

Localized-atlas-based segmentation of breast MRI in a decision-making framework.

Fooladivanda A, Shokouhi SB, Ahmadinejad N.

Australas Phys Eng Sci Med. 2017 Mar;40(1):69-84. doi: 10.1007/s13246-016-0513-3. Epub 2017 Jan 23.

PMID:
28116639
5.

Multistage processing procedure for 4D breast MRI segmentation.

Qi W, Hui D, Guang-zhi W.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3036-9. doi: 10.1109/IEMBS.2008.4649843.

PMID:
19163346
6.

A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI.

Lin M, Chan S, Chen JH, Chang D, Nie K, Chen ST, Lin CJ, Shih TC, Nalcioglu O, Su MY.

Med Phys. 2011 Jan;38(1):5-14.

7.

Fully automated segmentation of whole breast using dynamic programming in dynamic contrast enhanced MR images.

Jiang L, Hu X, Xiao Q, Gu Y, Li Q.

Med Phys. 2017 Jun;44(6):2400-2414. doi: 10.1002/mp.12254. Epub 2017 May 4.

PMID:
28375584
8.

Using deep learning to segment breast and fibroglandular tissue in MRI volumes.

Dalmış MU, Litjens G, Holland K, Setio A, Mann R, Karssemeijer N, Gubern-Mérida A.

Med Phys. 2017 Feb;44(2):533-546. doi: 10.1002/mp.12079.

PMID:
28035663
9.

Fast plaque burden assessment of the femoral artery using 3D black-blood MRI and automated segmentation.

Chiu B, Sun J, Zhao X, Wang J, Balu N, Chi J, Xu J, Yuan C, Kerwin WS.

Med Phys. 2011 Oct;38(10):5370-84. doi: 10.1118/1.3633899.

10.
11.

Automated computer quantification of breast cancer in small-animal models using PET-guided MR image co-segmentation.

Bagci U, Kramer-Marek G, Mollura DJ.

EJNMMI Res. 2013 Jul 5;3(1):49. doi: 10.1186/2191-219X-3-49.

12.

Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI.

Nie K, Chen JH, Chan S, Chau MK, Yu HJ, Bahri S, Tseng T, Nalcioglu O, Su MY.

Med Phys. 2008 Dec;35(12):5253-62.

13.

Malignant lesion segmentation in contrast-enhanced breast MR images based on the marker-controlled watershed.

Cui Y, Tan Y, Zhao B, Liberman L, Parbhu R, Kaplan J, Theodoulou M, Hudis C, Schwartz LH.

Med Phys. 2009 Oct;36(10):4359-69.

14.

Correlation between mammographic density and volumetric fibroglandular tissue estimated on breast MR images.

Wei J, Chan HP, Helvie MA, Roubidoux MA, Sahiner B, Hadjiiski LM, Zhou C, Paquerault S, Chenevert T, Goodsitt MM.

Med Phys. 2004 Apr;31(4):933-42.

15.

Automatic atlas-based segmentation of the breast in MRI for 3D breast volume computation.

Ortiz CG, Martel AL.

Med Phys. 2012 Oct;39(10):5835-48. doi: 10.1118/1.4748504.

PMID:
23039622
16.

Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI.

Nie K, Chen JH, Chan S, Chau MI, Yu HJ, Bahri S, Tseng T, Nalcioglu O, Su MY.

Med Phys. 2008 Dec;35(12):5253-5262. doi: 10.1118/1.3002306.

PMID:
28525134
17.

Spinal Cord Segmentation by One Dimensional Normalized Template Matching: A Novel, Quantitative Technique to Analyze Advanced Magnetic Resonance Imaging Data.

Cadotte A, Cadotte DW, Livne M, Cohen-Adad J, Fleet D, Mikulis D, Fehlings MG.

PLoS One. 2015 Oct 7;10(10):e0139323. doi: 10.1371/journal.pone.0139323. eCollection 2015.

18.

Automated breast segmentation of fat and water MR images using dynamic programming.

Rosado-Toro JA, Barr T, Galons JP, Marron MT, Stopeck A, Thomson C, Thompson P, Carroll D, Wolf E, Altbach MI, Rodríguez JJ.

Acad Radiol. 2015 Feb;22(2):139-48. doi: 10.1016/j.acra.2014.09.015.

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20.

MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation- and atlas-based methods.

Hofmann M, Bezrukov I, Mantlik F, Aschoff P, Steinke F, Beyer T, Pichler BJ, Schölkopf B.

J Nucl Med. 2011 Sep;52(9):1392-9. doi: 10.2967/jnumed.110.078949. Epub 2011 Aug 9.

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