Guest Editorial Special Issue on Medical Imaging and Image Computing in Computational Physiology

Frangi, Alejandro F.; Hose, David R. J.; Hunter, Peter; Ayache, Nicholas; Brooks, Dana H.

doi:10.1109/tmi.2012.2234320

Cited by 5 publications

(1 citation statement)

References 116 publications

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“…In the future, diffusion imaging methods with higher-resolution scans, multiple b-values (Scherrer & Warfield, 2012), and estimated with multi-fascicle models (Taquet et al, 2013) could better determine how the different regions reorganize and whether the greater reduction in the FA in patients showing more improvements indicates a more successful adaptation.…”

Section: Discussionmentioning

confidence: 99%

Intensive therapy induces contralateral white matter changes in chronic stroke patients with Broca’s aphasia

et al. 2014

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Using a pre-post design, eleven chronic stroke patients with large left hemisphere lesions and nonfluent aphasia underwent diffusion tensor imaging and language testing before and after receiving 15 weeks of an intensive intonation-based speech therapy. This treated patient group was compared to an untreated patient group (n=9) scanned twice over a similar time period. Our results showed that the treated group, but not the untreated group, had reductions in fractional anisotropy in the white matter underlying the right inferior frontal gyrus (IFG, pars opercularis and pars triangularis), the right posterior superior temporal gyrus, and in the right posterior cingulum. Furthermore, we found that greater improvements in speech production were associated with greater reductions in FA in the right IFG (pars opercularis). Thus, our findings showed that an intensive rehabilitation program for patients with non-fluent aphasia led to structural changes in the right hemisphere, which correlated with improvements in speech production.

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Section: Discussionmentioning

confidence: 99%

Intensive therapy induces contralateral white matter changes in chronic stroke patients with Broca’s aphasia

et al. 2014

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Precision Imaging: more descriptive, predictive and integrative imaging

Frangi

Taylor

Gooya

2016

Medical Image Analysis

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Medical image analysis has grown into a matured field challenged by progress made across all medical imaging technologies and more recent breakthroughs in biological imaging. The cross-fertilisation between medical image analysis, biomedical imaging physics and technology, and domain knowledge from medicine and biology has spurred a truly interdisciplinary effort that stretched outside the original boundaries of the disciplines that gave birth to this field and created stimulating and enriching synergies. Consideration on how the field has evolved and the experience of the work carried out over the last 15 years in our centre, has led us to envision a future emphasis of medical imaging in Precision Imaging. Precision Imaging is not a new discipline but rather a distinct emphasis in medical imaging borne at the cross-roads between, and unifying the efforts behind mechanistic and phenomenological modelbased imaging. It captures three main directions in the effort to deal with the information deluge in imaging sciences, and thus achieve wisdom from data, information, and knowledge. Precision Imaging is finally characterised by being descriptive, predictive and integrative about the imaged object. This paper provides a brief and personal perspective on how the field has evolved, summarises and formalises our vision of Precision Imaging for Precision Medicine, and highlights some connections with past research and current trends in the field.

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Maximum energy tracking approach to reconstructing human cardiac fibers from DTI

Song¹,

Yang²,

Fanton³

et al. 2014

2014 12th International Conference on Signal Processing (ICSP)

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Guest Editorial Special Issue on Medical Imaging and Image Computing in Computational Physiology

Cited by 5 publications

References 116 publications

Intensive therapy induces contralateral white matter changes in chronic stroke patients with Broca’s aphasia

Intensive therapy induces contralateral white matter changes in chronic stroke patients with Broca’s aphasia

Precision Imaging: more descriptive, predictive and integrative imaging

Maximum energy tracking approach to reconstructing human cardiac fibers from DTI

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