Treatment planning of intracranial targets on MRI derived substitute CT data

Jönsson, Johan; Johansson, Amanda; Söderstrom, Karin; Asklund, Thomas; Nyholm, Tufve

doi:10.1016/j.radonc.2013.04.028

Cited by 44 publications

(38 citation statements)

References 18 publications

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“…The method focuses on optimizing criteria for assigning voxels to regions. More recently, groups have introduced statistical cluster-based methods [Gaussian mixture (16,24) or fuzzy c-means (25)] to create models for calculating individual synthetic CT voxel values. These methods depend on ultrashort echo time (UTE) sequences to distinguish bone from air.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Implementation of a Novel Algorithm For Generating Synthetic CT Images From Magnetic Resonance Imaging Data Sets for Prostate Cancer Radiation Therapy

Kim

Glide-Hurst

Doemer

et al. 2015

International Journal of Radiation Oncology*Biology*Physics

101

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Section: Discussionmentioning

confidence: 99%

“…Automatic bone segmentation using clinically available MR sequences is hampered by difficulty in differentiating air from bone (24). This is an active area of research (16,24,28).…”

Section: Discussionmentioning

confidence: 99%

Implementation of a Novel Algorithm For Generating Synthetic CT Images From Magnetic Resonance Imaging Data Sets for Prostate Cancer Radiation Therapy

Kim

Glide-Hurst

Doemer

et al. 2015

International Journal of Radiation Oncology*Biology*Physics

101

View full text Add to dashboard Cite

“…bulk density correction vs. no density correction at all [12][13][14], identification of bony structures with sequences with ultrashort echo time [15] or plan adaptation using solely MRI data [16].…”

Section: Correct Representation Of Electron Densitymentioning

confidence: 99%

Review of potential improvements using MRI in the radiotherapy workflow

Torresin

Brambilla

Monti

et al. 2015

Zeitschrift für Medizinische Physik

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“…Multiple groups have been extensively studied the use of MRI alone as the basis for treatment planning 18 , 19 , 20 . Most of the studies make a substantial effort to extract accurate CT numbers and to address potential geometric distortions.…”

Section: Discussionmentioning

confidence: 99%

A preplanning method for stereotactic radiosurgery to improve treatment workflow

Ahn

Ozturk

Smith

et al. 2016

J Applied Clin Med Phys

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Frame‐based stereotactic radiosurgery (SRS) requires fixation of an invasive head ring to ensure accurate targeting. Minimizing waiting time with a fixed head ring is important for patient comfort and satisfaction. We report a practical preplanning solution for the Brainlab iPlan treatment planning system that reduces waiting time by expediting the planning process on treatment day. A water‐filled anthropomorphic head phantom was used to acquire a surrogate CT image set for preplanning and fused with patient's MRI, which was obtained before the day of treatment. Once an acceptable preplan was obtained, it was saved as a plan template and the phantom image set was removed from the Brainlab database to prevent any confusion and mix‐up of image sets. On the treatment day, the patient's CT and MRI were fused, and the customized beam settings of the preplan template were then applied and optimized. Up to 10‐fold of reduction in treatment plan time was demonstrated by bench testing with multiple planners and a variety of cases. Loading the plan template and fine‐tuning the preconfigured beam settings took only a small fraction of the preplan time to restore the conformity and dose falloff comparable to those of the preplan. For instance, preplan time was 2 hr for a two‐isocenter case, whereas, it took less than 20 min for a less experienced planner to plan it on the day of treatment using the preplan method. The SRS preplanning technique implemented in this study for the Brainlab iPlan treatment planning system offers an opportunity to explore possible beam configurations thoroughly, optimize planning parameters, resolve gantry angle clearance issues, and communicate and address challenges with physicians before the treatment day. Preplanning has been proven to improve plan quality and to improve efficiency in our clinic, especially for multiple‐isocenter and dosimetrically challenging cases.PACS number(s): 87.53.Ly, 87.55.D‐, 87.55.Gh, 87.55.tm

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Treatment planning of intracranial targets on MRI derived substitute CT data

Cited by 44 publications

References 18 publications

Implementation of a Novel Algorithm For Generating Synthetic CT Images From Magnetic Resonance Imaging Data Sets for Prostate Cancer Radiation Therapy

Implementation of a Novel Algorithm For Generating Synthetic CT Images From Magnetic Resonance Imaging Data Sets for Prostate Cancer Radiation Therapy

Review of potential improvements using MRI in the radiotherapy workflow

A preplanning method for stereotactic radiosurgery to improve treatment workflow

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