MR Tractography: A Review of Its Clinical Applications

Yamada, Kazuo; Sakai, Koji; Akazawa, Kentaro; Yuen, Sachiko; Nishimura, Tsunehiko

doi:10.2463/mrms.8.165

Cited by 272 publications

(186 citation statements)

References 72 publications

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“…Tractography successfully designated the site of cortical incision in combination with the findings of conventional MRI, MR angiography, MR venography and conventional angiography. It was previously reported that the combination of fMRI and DTI-based tractography may permit the achievement of more favorable results in pre-surgical planning in brain tumor resection (2,8,14). In all 14 patients, tractography facilitated the visualization of the geniculocalcarine tract passing close to the lesions.…”

Section: Discussionmentioning

confidence: 99%

“…At the time of surgical planning, the reliability of tractographic images in defining trajectories that are anatomically compatible with eloquent fiber should be considered (14). An important limitation to the clinical use of DTI-based tractography is poor quantification.…”

Section: Discussionmentioning

confidence: 99%

“…DTI-based tractography is currently the only imaging method used to show white matter tracts in vivo (5,14). This technique is widely used to visualize motor, sensory, speech and visual pathways for neurosurgical planning and postoperative assessment (1,3).…”

Section: Discussionmentioning

confidence: 99%

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Surgical strategy of brain tumors adjacent to the optic radiation using diffusion tensor imaging-based tractography

Tatsuzawa¹,

Owada²,

Sasajima³

et al. 2010

Oncology Letters

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Abstract. The present study evaluated the efficacy of diffusion tensor imaging (DTI)-based tractography in the surgery of brain tumors adjacent to the optic radiation. Of the 14 surgical cases included, 11 had metastatic brain tumors and 3 cerebral gliomas. Additionally, 4 of the 14 patients had pre-operative visual field defects, while the remaining 10 patients experienced no visual impairment. The optic radiations on the lesion side were evident in all 14 patients. On the basis of these tractographic findings, we employed optimal surgical approaches in each patient to avoid injury to the eloquent neural structures, including optic radiation, during surgery. Successful surgical resection was performed in all 14 patients. Of the 14 patients, 2 with visual field defects during the pre-operative period showed improvement in their visual field, and the remaining 12 patients experienced no visual deterioration. DTI-based tractography thus is a feasible modality for the surgical planning of brain lesions adjacent to the optic radiation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Surgical strategy of brain tumors adjacent to the optic radiation using diffusion tensor imaging-based tractography

Tatsuzawa¹,

Owada²,

Sasajima³

et al. 2010

Oncology Letters

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show abstract

“…However, the limitations of DTI should be considered. DTT is a powerful anatomic imaging tool for demonstration of gross fiber architecture; however, due to partial volume effect and fiber crossing, it has significant limitation in reconstruction of neural tracts [13,[28][29][30]. In this study, although the leg M1 TCF were reconstructed in all 51 subjects, the precentral knob PMC and precentral knob S1…”

Section: Resultsmentioning

confidence: 99%

Anatomical location of transcallosal sensorimotor fibers in the human brain: Diffusion tensor tractography study

Seo

Jang

2013

Translational Neuroscience

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Many diffusion tensor tractography (DTT) studies have reported on the topography of transcallosal fibers (TCF). However, little detailed anatomical information on TCF that can be easily applied for clinical purposes is known. Using probabilistic DTT, we attempted to determine the anatomical location of the TCF for motor and sensory function in the human brain. A total of 51 healthy subjects were recruited for this study. Diffusion tensor images (DTIs) were obtained at 1.5 T, and four TCF for the premotor cortex (PMC), the primary motor cortex (M1) for hand and leg, and the primary somatosensory cortex (S1) were obtained using FMRIB software. Locations of the TCF were defined as the highest probabilistic location on the midsagittal slice of the corpus callosum. We measured distances between the most anterior and posterior points of the corpus callosum. The relative mean distances of the highest probabilistic location for the precentral knob PMC (Brodmann area 6 anterior to the precentral knob), hand M1, leg M1, and precentral knob S1 (postcentral gyrus posterior to the precentral knob) TCF were 48.99%, 59.78%, 67.93%, and 73,48% from the most anterior point of the CC, respectively. According to our findings, the precentral knob PMC, hand M1, leg M1, and precentral knob S1 TCF were located at the anterior body, posterior body, posterior body, and isthmus according to Witelson's classification, respectively.

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“…In other words, given two brain regions of interest, A and B in the image space Ω , assumed to be connected, there is a need for a method to determine the confidence in the trajectory of the connecting pathway before proceeding to subsequent quantification or visualization tasks for any clinical application (e.g. image-guided neurosurgery [6,18]). …”

mentioning

confidence: 99%

Uncertainty in Tractography via Tract Confidence Regions

Brown

Booth

Hamarneh

2013

Mathematics and Visualization

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Tractography allows us to explore white matter connectivity in diffusion MR images of the brain. However, noise, artifacts and limited resolution introduce uncertainty into the results. We propose a statistical model that allows us to quantify and visualize the uncertainty of a neuronal pathway between any two fixed anatomical regions. Given a sample set of tract curves obtained via tractography, we use our statistical model to define a confidence region that exposes the location and magnitude of tract uncertainty. The approach is validated on both synthetic and real diffusion MR data and is shown to highlight uncertain regions that occur due to noise, fiber crossings, or pathology.

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MR Tractography: A Review of Its Clinical Applications

Cited by 272 publications

References 72 publications

Surgical strategy of brain tumors adjacent to the optic radiation using diffusion tensor imaging-based tractography

Surgical strategy of brain tumors adjacent to the optic radiation using diffusion tensor imaging-based tractography

Anatomical location of transcallosal sensorimotor fibers in the human brain: Diffusion tensor tractography study

Uncertainty in Tractography via Tract Confidence Regions

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