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Improved magnetic resonance temperat...
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Odeen, Henrik.
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Improved magnetic resonance temperature imaging for transcranial magnetic resonance guided focused ultrasound applications.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Improved magnetic resonance temperature imaging for transcranial magnetic resonance guided focused ultrasound applications./
作者:
Odeen, Henrik.
面頁冊數:
159 p.
附註:
Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.
Contained By:
Dissertation Abstracts International77-03B(E).
標題:
Medical imaging. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3727084
ISBN:
9781339120096
Improved magnetic resonance temperature imaging for transcranial magnetic resonance guided focused ultrasound applications.
Odeen, Henrik.
Improved magnetic resonance temperature imaging for transcranial magnetic resonance guided focused ultrasound applications.
- 159 p.
Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.
Thesis (Ph.D.)--The University of Utah, 2015.
Magnetic resonance imaging (MRI) is a popular imaging modality for monitoring noninvasive thermal therapies because it can combine high-resolution anatomical imaging with noninvasive temperature measurements. One of the main challenges is being able to perform MR temperature imaging (MRTI) over a large enough field-of-view (FOV) with high enough spatiotemporal resolution. The work presented in this dissertation develops MR pulse sequences and evaluates reconstruction methods for improved MRTI.
ISBN: 9781339120096Subjects--Topical Terms:
3172799
Medical imaging.
Improved magnetic resonance temperature imaging for transcranial magnetic resonance guided focused ultrasound applications.
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Magnetic resonance imaging (MRI) is a popular imaging modality for monitoring noninvasive thermal therapies because it can combine high-resolution anatomical imaging with noninvasive temperature measurements. One of the main challenges is being able to perform MR temperature imaging (MRTI) over a large enough field-of-view (FOV) with high enough spatiotemporal resolution. The work presented in this dissertation develops MR pulse sequences and evaluates reconstruction methods for improved MRTI.
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To improve the efficiency of k-space sampling for MRTI, five k-space subsampling schemes were implemented in a 3D segmented echo planar imaging pulse sequence. It was shown that improved MRTI accuracy could be achieved by utilizing variable density sampling and that k-space should be sequentially sampled (as opposed to centrically) to avoid focal spot "blurring," which leads to temperature underestimations. All data were reconstructed using a temporally constrained reconstruction (TCR) algorithm.
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The treatment envelope is in high intensity focused ultrasound (HIFU) defined as areas within the body where therapeutic levels of ultrasound can be delivered. Evaluation of the treatment envelope is especially interesting in transcranial applications since the skull bone absorbs and aberrates the ultrasound to a large degree. Using 3D MRTI by combining k-space subsampling and the TCR method, it was shown that due to near-field heating it is not always safe to treat all areas where therapeutic levels of ultrasound can be delivered. Treatment envelopes based on the ratio between the focal spot heating and the near field heating, evaluating both efficacy and safety, were also derived.
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The accuracy of a thermal model based MRTI reconstruction method, model predictive filtering (MPF), was evaluated in terms of amount of k-space subsampling (R), rate of the temperature increase (T), and accuracy of the thermal and acoustic parameters used in the thermal model. It was shown that the parameters could be accurately determined and that with MPF, accurate MRTI (root-mean-square-error below 0.7 °C) could be achieved over a large FOV (192 x 162 x 96 mm) with high spatiotemporal resolution (1.5 x 1.5 x 2.5 mm, 1.7 s) and real-time reconstruction.
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Combination of the newly developed subsampling schemes with TCR or MPF is shown to accurately monitor transcranial HIFU treatments with high spatiotemporal resolution in ex vivo studies.
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