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Optimizing and method development for clinical MR imaging near metallic implants

Morin, Viktor LU (2012) EEM820 20122
Department of Biomedical Engineering
Abstract
Metallic hip prosthesis is an implant that gets more common and comes with problems like metallosis (inflammation due to metallic debris). Magnetic resonance imaging (MRI) which is a superior method when imaging soft tissue (compared to other medical imaging techniques) is affected by metal implants and will result in a distorted image. View Angle Tilting (VAT) and Slice Encoding for Metal Artifact Correction (SEMAC) are techniques which can reduce both in-plane and through-plane distortions. Unfortunately do the SEMAC technique come with a drawback of increased scan times. To acheive more acceptable scan times in the clinic,a new method, called Compressed Sensing can be used in combinationwith VAT and SEMAC. This method which reconstructs... (More)
Metallic hip prosthesis is an implant that gets more common and comes with problems like metallosis (inflammation due to metallic debris). Magnetic resonance imaging (MRI) which is a superior method when imaging soft tissue (compared to other medical imaging techniques) is affected by metal implants and will result in a distorted image. View Angle Tilting (VAT) and Slice Encoding for Metal Artifact Correction (SEMAC) are techniques which can reduce both in-plane and through-plane distortions. Unfortunately do the SEMAC technique come with a drawback of increased scan times. To acheive more acceptable scan times in the clinic,a new method, called Compressed Sensing can be used in combinationwith VAT and SEMAC. This method which reconstructs data using fewersamples than before thought was required will reduce the scan time.
A phantom (hip prosthesis surrounded with agarose gel) was used toinvestigate how much the sampling can be reduced, while still retainingan image with good quality. The data was presented in different domainswhich were individually investigated for an optimized performance of thereconstruction algorithm. Fully sampled data was imported into Matlaband afterwards undersampled. Compressed Sensing was used to reconstructthe images and a comparison was done with the original images.
Even with low sampling (40% data) Compressed Sensing can reconstructimages with no significant loss of image quality. SEMAC imagestoday fit the restriction of Compressed Sensing and by implementing themethod the SEMAC technique can be more acessible in clinical practice,thereby improving the diagnosis of patients with metallic prosteses. (Less)
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author
Morin, Viktor LU
supervisor
organization
course
EEM820 20122
year
type
H2 - Master's Degree (Two Years)
subject
language
English
additional info
2012-06
id
3626258
date added to LUP
2013-03-26 13:02:57
date last changed
2014-10-08 14:47:30
@misc{3626258,
  abstract     = {Metallic hip prosthesis is an implant that gets more common and comes with problems like metallosis (inflammation due to metallic debris). Magnetic resonance imaging (MRI) which is a superior method when imaging soft tissue (compared to other medical imaging techniques) is affected by metal implants and will result in a distorted image. View Angle Tilting (VAT) and Slice Encoding for Metal Artifact Correction (SEMAC) are techniques which can reduce both in-plane and through-plane distortions. Unfortunately do the SEMAC technique come with a drawback of increased scan times. To acheive more acceptable scan times in the clinic,a new method, called Compressed Sensing can be used in combinationwith VAT and SEMAC. This method which reconstructs data using fewersamples than before thought was required will reduce the scan time.
A phantom (hip prosthesis surrounded with agarose gel) was used toinvestigate how much the sampling can be reduced, while still retainingan image with good quality. The data was presented in different domainswhich were individually investigated for an optimized performance of thereconstruction algorithm. Fully sampled data was imported into Matlaband afterwards undersampled. Compressed Sensing was used to reconstructthe images and a comparison was done with the original images.
Even with low sampling (40% data) Compressed Sensing can reconstructimages with no significant loss of image quality. SEMAC imagestoday fit the restriction of Compressed Sensing and by implementing themethod the SEMAC technique can be more acessible in clinical practice,thereby improving the diagnosis of patients with metallic prosteses.},
  author       = {Morin, Viktor},
  language     = {eng},
  note         = {Student Paper},
  title        = {Optimizing and method development for clinical MR imaging near metallic implants},
  year         = {2012},
}